Systematic Review of Recent Handover Techniques Femtocell and Microcell in LTE-A
Prof.Atul B.wani a, Prof. Dr.Anupama A.Deshpande b and Prof. Dr. S.H.Patil c
a Research Scholar
bProfessor,JJTU,
c Professor,BVDU,Pune
email:aatulw76@gmail.com ,bMangalab2000@gmail.com,cshpatil@bvucoep.edu.in
Article History: Received: 11 January 2021; Revised: 12 February 2021; Accepted: 27 March 2021; Published
online: 4 June 2021
Abstract: The growing want for wireless networks calls regarding the acceptable of heterogeneous networks to sufficient shopper requirements. Quality administration is rated one in every of the relevant factors to before-mentioned networks. The relinquishment could be a unity of the foremost characteristics of quality management regarding the long run evolution of advanced (LTE-A) framework, that depends merely upon the laborious fork up Femtocell suggests AN economically appealing strategy to boost quality, coverage, and performance within the gift organization. The cellular organization operators got to alter the present single-level macrocell organization to supply the kinds of the help of femtocells to its purchasers. During this article, we provide a review of relinquishment techniques on femtocell preparation. Varied aspects of femtocell networks in an exceedingly totally different domain square measure talked concerning. Femtocell may be a dominant various to direct and cast off a big the part of the transfer from the Macro Base Station. For a particular space within a macro cell much a microcell, the selected repeat assortment isn't a dead ringer for the adjacent territory. This paper gift the review of varied relinquishment mechanisms introduced for communication between LTE-A elements like Femtocell and Microcell. the end result of this paper to get the challenges of recent relinquishment ways.
Keywords: Handover, HetNet, LTE-Advanced, Femtocell, eNB, HeNB, power consumption, performance evaluation, simulation
1. Introduction
The Progression in LTE configuration becomes communication system look and vary fertility because the fifth-generation (5G) networks develop to HetNets. Identity of the foremost functions for the utilization of HetNets is that the improvement into area and therefore the development of such coverage of the LTE framework [1]. Tiny cells, for illustration, picocells, ar granted at the macrocell barriers to develop maybe weak coverage that happens for numerous functions, as an example, track hassle and attenuation. Picocells ar additional given within the macrocell coverage, in hotspots, to enhance tons of transactions offloading from additional general blocks on less important things [2]. afterward 5G networks, techniques, as an example, relinquishment as well as cell reselection stay turning into several fascinating thanks to the thick preparation of assorted styles of blocks containing the results regarding quality execution at intervals massive additional very little teams in various environmental circumstances. thanks to the fastened suspension, and later, AN un-arbitrary determined specification, the looks relating to numerous materials achieved select nice doable abasement if skillfulness wholeheartedness furthermore relinquishment issues occur not analyzed throughout HetNets connected through macro-only network things [3].While quality into the wireless network influences the relinquishment order as well as the prospect to create radio association downfall and obstacles, the computed issue is that impact regarding quality toward the association feature; for example, association modification which through associate furthermore data delivery. Seamless as well as powerful quality, into increasing on relinquishment points whereas HetNets, signifies turning into glanced at toward LTE-Advanced unto cut back obstacles as well as packet loss through relinquishment [4]. quality enrichment shown throughout this examination has migrated designed primarily based upon the flexibility effects mentioned within the 3GPP special article [5]. this text exhibited the results of discontinuous reception (DRX) deep series toward the relinquishment through various motion speeds what is more outstanding consequences evidenced that a comprehensive sleeping the session, whereas the user instrumentality (UE) directs off every transceiver circuit, makes combined further radio association defeats in additional precious velocities. Figure one shows the overall design of LTE network that accommodates numerous elements like little cells, Wi-Fi, Macro Base Station (BS), Mobile User instrumentality (MUE), etc. the little cells unremarkably referred to as as Femtocell moreover.
Figure 1. General architecture of LTE-A
Figure 2. Illustration of structure of femtocell and macro cell
The figure a pair of any illustrated the structure of LTE-A microcell that include many femtocells or tiny cells. the most challenge of such networks is said to relinquishing mechanism among femtocell and microcells elements. Within the next section, we tend to gift a recent paper literature review supported relinquishing techniques on femtocell and microcell in LTE. In section III presents the comparative table base on exiting ways and performance matrix. Finally, we tend to mentioned the conclusion and future work.
Relinquishing Mechanism
In [6] the author projected the information measure restriction as well as admission authority policy based mostly upon traffic provisions regarding many QoS correlate management. The session aware load equalization moreover the context-aware relinquishing procedure were ready, that supports the information measure limitation for several traffic conditions and teaches additionally, users up to control out the relinquishing up to distribute traffic stock systematically all completed the network. This load equalization tool provided any end-users for connect with the LAN network whereas active the WiMAX as well as a delicious relinquishing into support QoS/QoE.
In [7] the author bestowed a congestion charge tool for the 3GPP LTE-A networks, that remains regarded whereas NGN. Certainly, this interworking connecting being radio access modifications square measure improved within the MIH protocol that promotes coordination among congestion controller mechanism moreover quality
management. Their congestion management device was combined at intervals the VHO amount to forestall as well as encouraging excess state additionally was performed by the 3GPP LTE-equipment furthermore the MIH IS, which suggests the very important material into this whole construction. In [8] the author instructed the prediction tool on into contraction of the relinquishing breakdown rate additionally Ping-Pong relinquishing rate, at intervals withdraw that delay progressing furthermore attempting eNB beside furthermore complete information, they suggested remarkably outspoken specifications to predict and 3GPP unleash eight, that UE past data according through eNB UE account data, decreasing this relinquishing crash rate moreover Ping-Pong relinquishing valuation with doing same account information similar Region-Domain, Time-Domain as well as Time At Trigger.
In [9] the author has performed the accomplishment estimation relating to the advanced LTE holmium problem-solving operations additionally, Time-To-Trigger (TTT) parameters estimation into duplicate the character regarding SON. as a result of the relevant holmium parameter perspective is important for adequate network administrations, completely different amounts of Hysteresis 3 to boot Time To Trigger are calculable to acknowledge the foremost appropriate optimum relinquishing significations estimation. This supposed holmium conniving operation with progressive significations context ready to alter precise network achievements within the length of larger outturn furthermore reducing precise network obstruction. The same outline merely examines the whole lot of Oneself Organizing Network characteristics referring square measure the Self Optimizing. In [10] author projected varied relinquishing plans for blighter LTE networks. during this investigation, they mathematically analyzed the got SINR by very little cells become half in decoupling, relating to a contrivance getting into decoupling provinces of these very little cells, in several cell resistance things. Simulation outcomes verify the signalling impression of Man in handovers, developemeasure approved consumption of contraptions in both single tiny cell, and various small cell situations.
In [11] the author presented a proposal, specifically, NCA up to streamline support allocation through handover during highway situations. Highway handover situation, wherever in, a blocked destination hub, during times of resource blocks (RB), points over every package trouble case. To improve supply allocation through handover determinations, they perform the Network Coding Approach (NCA) founded on Coordinated Different spot.
In [12] the author introduced an adjusted grimy article coding method up to decrease the significant influence from inter-cell resistance. To decrease the consequence of resistance, specific user feedback quantizes CSI to the second station, including suddenly relevant proceeding was taken on a spread signal.
In [13] the author has proposed a frequency allocation schemes forward with resistance management toward macro-femtocell also miniature femtocell organization founded LTE-A network. During this method, the network remains separated into different groups. Each bunch is distributed among a macrocell about individual microcells. Femtocells were conveyed within a macrocell or a microcell to increase cellular coverage. Under this method, three provinces simultaneously including interior including obvious divisions occur granted for personal macrocell moreover microcell through frequency distributed [14].
In [15] the author has presented an advanced handover strategy, in the duration of continuing critical significant, moreover connecting within the improved UE trajectory furthermore the HeNB cell locating. Every polynomial role does utilized to anticipate these scheduled UE location while the cosine purpose accompanying with range is utilized for the selection of a suitable destination cell. The structure algorithm was assessed and abruptly related to the performed operation founded on the handover product, the quantity of signaling measures, packet deferral ratio, packet distress ratio, moreover structure throughput.
In [16] proposed a prediction handover algorithm for the handover performance in the femtocell network by using two kinds of handover problem-solving operations which are approved Reference Signal Received Power or Reference Signal Received Quality (RSRQ) A2-A4-RSRQ handover procedures. This investigation was implemented in phases of the character of handovers, the representation of irrelevant handovers, moreover user the continued use throughput. The main operator of user throughput degeneration is also dissolved.
In [17] author proposed an improved handover operations remain to reduce the number of redundant handovers in LTE-A systems as well as decreasing the production of destination femtocells including calls checking possibility throughout the handover.
In [18] author presented Intra-LTE Handover and determined that the optimal framework of Handover parameters can reduce handover frustrations all completed the handover period in changing mobility requirements. This advanced plot estimated the Handover optimization model based on the different UE speed and handover device within LTE to meet the special prerequisites in error-prone conditions. The error model is organized and reductions are examined utilizing track source.
In [19] the author investigated the utilization of intensity messages toward overcoming false handovers. They introduced a graph-based structure that utilizations signal intensity report forwards the transferable approach of the UE to perform more useful handover settlements. This structure affects that specific signal frequency through the UE from all eNBs in its approach imply prepared a priori during all-time occurrences and produces a baseline connecting to getting the smallest product of handovers that can be reached. The frameworks appropriated the specific signal determination during the prevailing time occurrence exclusive moreover measures the signal features toward ultimate time occurrences.
In [20] author presented the Q-learning method on the degree of most effective use of a resource is utilized into the increase that appearance from handover significant, for instance, handover margin (HOM) including the time to trigger (TTT) and assessed during the duration from complete framework delay, a common product concerning handover and framework throughput toward understanding into giving long term evolution (LTE) discovery seamless including secure handover commencing with the whole-cell when over the subsequent, grasping this optimization is founded on Q-learning approach referring produces a smallest average estimate of handover per user furthermore further has the highest throughput.
In [21] paper author has elaborated the femtocell (FC) system forward with its difficulties. They examine on explaining the significance of femtocells and their development conditions. As well, the technological tests allowed in the femtocell network were described in that paper.
In [22] Received signal intensity is practiced as the basic pattern and examined. Received Power turns as the building block for constructing conceivable handover crosswise heterogeneous Radio Access Innovations. This advanced procedure suggested an upward handover based on different signal intensities. Enhanced Weighted Sum Technique is incorporated for Handover decision making. Several measures were also used.
In [23] the author presented an address of the frequency expenses and the power waste those consequences of the delivery regarding the handover-related frequency in a Long Term Evolution (LTE) wireless mobile network. They examine significant supplements from these distinguishing conveying signal information across a particular wireless interface, including their influence proceeding power loss both about the eNB and at the User Equipment (UE) through handover (HO). A measured by the quantity investigation remains performed practicing structure status simulations. They recognize that, inside the HO cycle, the greatest contributor to air-interface signaling expenses is the frequency of the determination record by the UE. This uplink (UL) transmission faces various channel derangement, because of intervention and communication spectrum, during appropriate block volumes.
In [24] the proposed algorithm is founded on the Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), including remarkable User Equipment (UE) specifications similar changing control also that place interior the femtocell appropriated as HO resolution rules. The impulse after this intended algorithm was to decide the numerous recognized target femtocell amongst several
Reference Signal Received Power or Reference Signal Received Quality (RSRQ) A2-A4-RSRQ relinquishing procedures. This investigation was enforced in phases of the character of handovers, the illustration of digressive handovers, furthermore user the continuing use outturn. the most operator of user outturn degeneration is additionally dissolved.
In [17] author projected associate improved relinquishing operations stay to cut back the amount of redundant relinquishings in LTE-A systems furthermore as decreasing the assembly of destination femtocells as well as calls checking chance throughout the handover.
In [18] author bestowed Intra-LTE relinquishing and determined that the optimum framework of relinquishing parameters will cut back relinquishing frustrations all completed the relinquishing amount in ever-changing quality needs. This advanced plot calculable the relinquishing optimisation model supported the various UE speed and relinquishing device at intervals LTE to satisfy the special conditions in erring conditions. The error model is organized and reductions square measure examined utilizing track supply.
In [19] the author investigated the use of intensity messages toward overcoming false handovers. They introduced a graph-based structure that utilizations signal intensity report forwards the transferable approach of the UE to perform additional helpful relinquishing settlements. This structure affects that specific signal frequency through the UE from all eNBs in its approach imply ready a priori throughout incomparable occurrences and produces a baseline connecting to obtaining the tiniest product of handovers which will be reached. The frameworks seized the precise signal determination throughout the prevailing time incidence exclusive furthermore measures the signal options toward final time occurrences.
In [20] author bestowed the Q-learning methodology on the degree of best use of a resource is used into the rise that look from relinquishing important, as an example, relinquishing margin (HOM) as well as the time to
trigger (TTT) and assessed throughout the length from complete framework delay, a standard product regarding relinquishing and framework outturn toward understanding into giving future evolution (LTE) discovery seamless as well as secure relinquishing commencing with the whole-cell once over the next, grasping this optimisation is supported on Q-learning approach referring produces a smallest average estimate of relinquishing per user moreover any has the best outturn.
In [21] paper author has careful the femtocell (FC) system forward with its difficulties. They examine on explaining the importance of femtocells and their development conditions. As well, the technological tests allowed within the femtocell network were delineate in this paper.
In [22] Received signal intensity is practiced because the basic pattern and examined. Received Power turns because the building block for constructing conceivable relinquishing crosswise heterogeneous Radio Access Innovations. This advanced procedure instructed associate upward relinquishing supported completely different signal intensities. increased Weighted add Technique is incorporated for relinquishing higher cognitive process. many measures were additionally used.
In [23] the author bestowed associate address of the frequency expenses and therefore the power waste those consequences of the delivery relating to the handover-related frequency in an exceedingly future Evolution (LTE) wireless mobile network. They examine important supplements from these characteristic conveyance signal data across a selected wireless interface, as well as their influence continuing power loss each regarding the eNB and at the User instrumentality (UE) through relinquishing (HO). A measured by the number investigation remains performed active structure standing simulations. They acknowledge that, within the holmium cycle, the best contributor to air-interface communication expenses is that the frequency of the determination record by the UE. This transmission (UL) transmission faces varied channel derangement, owing to intervention and communication spectrum, throughout applicable block volumes.
In [24] the projected formula is supported on the Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), as well as outstanding User instrumentality (UE) specifications similar ever-changing management additionally that place interior the femtocell seized as holmium resolution rules. The impulse when this supposed formula was to make a decision the many recognized target femtocell amongst many contestants any into reducing the concerned holmium in femtocell based mostly cellular interfaces.
In [25] author distinguished projected regarding wireless in HetNets. the start is analogous to the signal additionally the opposite factor is joined upon information transmission; i.e., relinquishing moreover links live adaptation. This is going on indicated that the 2 cycles were modified by the user quality level and such accomplishment depreciates close to block boundaries. The target was to contour the user offloading through picocells be conditional on their measured velocities with the goal that comprehensive framework production remains maximized. The network-driven explication and interaction among teams that deliver seamless relinquishing was portrayed.
In [26] author projected the deep reinforcement learning (DRL) supported methodology for deciding these fashioned nonconvex difficulties of reducing estimate price in times of absolute suspension. still, real-world systems manage to provide a large quantity from users as well as MEC servers requiring huge quantities of assorted actions, were assessing the sequence regarding each possible action displays useless. consequently, prevailing DRL systems is also difficult or maybe impossible to instantly discuss with this suggested normal. supported the algorithmic dissolution of the performance vary attainable to severally position, they offered a DRL-based formula toward common server selection, cooperative offloading, moreover relinquishing toward a multi-access purpose wireless system.
In [27] the author mentioned the optimisation of the relinquishing procedure to cut back the issues that crop up throughout the relinquishing of the vehicle, particularly with higher speeds. the thought was to style a cross-layer between the transport layers as well as the info link layer of the principles at intervals associate formula. Consequently, the suggested style will accommodate a vehicle activity and relinquishing theme to decrease the suspension time.
In [28] author projected a good detachment validation relinquishing style through group action SDN means that package outlined Network furthermore AMACs imply aggregate Message Authentication Codes procedures at intervals the 5G-V2X system into overcome relinquishing communication on top of and delivery obstruction throughout the validation.
In [29] author projected the 2 tiers small femtocell based mostly freelance ultra-dense wireless mobile network operation, wherever femtocell distribution demands position interior the microcell found continuing user frequency. The femtocells style associations in line with the nearness as well as the special assortment of each combination was conducted employing a lump of weighted bulk meat. Dedicated frequency associations were
completed throughout small moreover femtocell users although the best producer of every femtocell cluster allots meters to its companion femtocells found on auction competition. Agilent EXG vector signal generator N5172B, EXA vector sign examiner 9010A and Agilent signal studio package was practiced for the innovative theme of production analysis of the suggested material.
In [30] bestowed associate look throughout sustained, as well as target unconventional human toward automaton handovers active time period robotic perception, and administration. They try regarding universal eligibility beside a general style producer, and connected hold assortment operation, and by active a selected gripper-mounted RGB-D camera, so negative wishing on surface sensors. The automaton is managed via visual servoing into some target relating to attention. putting nice importance on security, they work on 2 understanding additional complicated structure human anatomy character segmentation as well as management finger segmentation. Pixels that happen believed up to relate to the individual stay separated of challenger hold shows, consequently guaranteeing that this automaton rigorously accumulates the target outdoors conflicting by the human companion.
2. Comparative Study
R. No. Year Methodology Performance
Metrics Simulation Tool 7 201 5 An Projected congestion controller in 3GPP LTE-A networks. Their system includes of 3 stages: congestion obstruction, congestion discovery, and congestion announcement. Moreover, it’s
connected with the vertical relinquishing method, once creating the relinquishing resolution, also because the form of the destination network. An increase within the signalization rate of solely Third-dimensional connected to once the surplus command is turned off. Also, simulation outcomes provides a high level of attainable resource management and an occasional package drop rate. The congestion system was investigated
inside a simulation examination utilizing a MATLAB
supporter
8 201
5
. 3GPP unharness eight, the UE History data reported by eNB UE history
report,overcoming the relinquishment crash rate and tablegame relinquishment rate by active the account
information like
Region-Domain, Time-Domain, and Time To Trigger In the simulation as well as 2 alternate styles,the counseled approach explicated additional reliable execution of relinquishme nt failure rate and table game relinquishme nt rate
They practiced a system-level simulation of LTE networks supported Matlab. related to the established theme with Time UE visited message
10 201
6
Handover schemes for Due to incorporation
DUDe in
handovers,
They have used MATLAB based LTE system simulator.
(DUDe) LTE networks. Aside from this, they have mathematically explained the obtained SINR by small cells practiced component in decoupling, concerning a thing running in decoupling fields of these little cells, in various cell resistance situation enhanced uplink SINR, reduced power consumption of materials in both single little cell and various small cell
situations
12 201
6
Modified Dirty paper coding (MDPC) has been introduced to alleviate Inter-cell Interference. To overcome the consequence of
interference, every user feedback quantizes CSI to the base station and then proper precoding is performed on the transferred signal. They associate the sum rate of the Modified Dirty Paper Coding and Zero-Forcing technique. Simulation outcomes explain that the sum rate of Modified dirty journal coding is 23% higher than the Zero-Forcing procedure. 14 201 7 Handover method
offered compared to the two-tier long term evolution advanced (LTE-A) network by applying two methods,
the effective
administration
prediction system and the distance within the modern user equipment (UE) region and the HeNB place The transmission measure product, the package delay ratio, and the container loss ratio and accessions operation throughput.
17 201
7
The author has
introduced Associate in
Nursing improved
relinquishment rule that decreases the quantity of extra relinquishments in LTE-A networks still as decreasing the quantity of target femtocells and calls
obstruction risk throughout handover. The advanced algorithmic program defeats of decreasing the abundance of handovers and therefore the magnitude relation of T-HeNB within the operation.
19 201 8
They introduced a graph-based structure that uses signal power learning on the mobile mechanicalphenomenon of the UE to form a lot
of reliable relinquishment arrangements. The signal intensity information for reducing deceptive handovers. It is shown that this advanced algorithmic rule considerably decreases the amount of handovers whereas still keeping sensible signal options for info throughout the mechanical phenomenon of the UE.
simulation of real-world data
23 201
9
A simulation analysis is performed for the signaling charge and the power consumption throughout HO in an LTE network when
multiple cell
dimensions, UE speed, offset, and TTT states are applied. As a consequence, uplink signaling retransmissio ns are triggered causing more powerful signaling charge and consequently more expensive power consumption, this being especially damaging to battery-powered devices 27 202 0 In this proposed designed cross-layer between the transport layer and the data link layer of the protocol through an algorithm. This system adapted a vehicle speed and handover method to decrease the delay time. The result certainly confirms that the optimal scheme can complete the least delay time of HO in any estimation of carrier speed.
29 202 0
The two-tier micro-femtocell based mostly heterogeneous ultra-dense cellular network
policy, wherever
femtocell allocation needs location within the microcell supported user frequency This policy network reduces power transmission by 23%– 41%, will increase signal-to- interference-plus-noise quantitative relation by 12%–39%, and frightful potency by 10%–37% than the present competitive heterogeneou s cellular network operations.
Agilent EXG vector signal generator N5172B, EXA vector signal analyzer 9010A, and Agilent signal studio software.
30 202
1
Object-Independent Human-to-Robot Handovers Using Real-Time Robotic Vision
In experiments including thirteen objects, the golem was competent to favourably take the an object from the peoples in eighty one.9% of the tests. singular gripper-mounted RGB-D camera, 3. .Research Gaps
1. Sustainability, cost-viability, well-sent styles, and therefore the capability to keep up high rate wireless communications for HetNets to keep up WiFi-WiMAX combination during a HetNet condition. However, the compelling utilization of these 2 additions from the end-users' point-of-see.
2. Seamless relinquishment once UE transfers is one in all the most issues in LTE-A. To develop additional further many parameters if the eNB supports getting a additional skilled parameter via additional wonderful simulation.
3. to extend the general dimensions of the cellular network, very little cells, for illustration, Femtocells are now that means communicated within the LTE-Advanced system and ar determined to be an appropriate resolution to information measure restriction and coverage issues.
4. The relinquishment methodology transforms dead set be intercalary sensitive particularly over high quality speed, and for period administrations. For long run Evolution Advanced (LTE-A) primarily based 5G system is to extend the cell volume and cell coverage of indoor users.
5. Wireless gadgets to reinforce infirmed voice and knowledge reception inside the macrocell. to guide by victimization the assorted ways in which, (for example microcell, hotspots, and so on), the femtocell may be a considerably more cost effective choice which will be put in by the tip client.
6. Relinquishment management is one in all the most constituents describing the viability of varied wireless network discovery. Due to the special options of a femtocell, a further relinquishment happens additional routinely.
7. A mobile hub that's connected to its base station surrenders its association whereas connected quality creates a vacillation of signal options for building relinquishment choices, which might produce false handovers during a high eNB readying.
8. With the evolution of cellular networks, several standards have appeared, to satisfy the growing want for omnipresent, high notch voice, data, and multimedia system administrations. what is more edges even at the cell-edges and indoor provinces wherever the requirement for the cellular administrations is never the less. In spite of the actual fact that there's a growing requirement for higher rate administrations are often as relinquishment delay or signal misfortune that results in outturn degrading and should cut the communication.
9. The readying of the many femtocells performs the result of decreasing the quantity of extra users' handovers provocation of nice significance. Femtocells get a additional powerful rate and increase the coverage space in cellular networks. increasing Associate in Nursing large variety of femtocells produces regarding the any progressive introduction of a Ho system.
A. Conclusion & future work:
Femtocell is Associate in Nursing encouraging discovery for the caustic edge wireless network. At the moment, the implementation of femtocell amendment permits specific issues, as an example, latency issues, because of the backhaul associate via the net that is extremely essential for delay-touchy multimedia system management, relinquishment warning, and multimedia system stream routing to keep up quality. This paper introduced the systematic review lately relinquishment techniques femtocell and microcell in LTE. due to its essential points, associated with facilitate, fast, affection, and play, and so on, femtocell influences the mobile researchers to explore for massive readying if the interference issues are often managed fittingly. it's apparently seen that active the macro femtocell together with diminutive femtocell assortment primarily based LTE-A network, power transmission and track accident are often remodeled to not as vital as that of a macro femtocell primarily based LTE-A system. For future, we propose style of multi-objective LTE-A relinquishment mechanism among femtocell and microcell systems with goal of reducing the latency, delay, and knowledge loss
References
1. Zhang, H., et al. (2015). 5G wireless network: MyNET and SONAC. IEEE Network, 29, 14–23. 2. Wang, P., et al. (2015). QoS-aware cell association in 5G heterogeneous networks with massive MIMO.
IEEE Network, 29, 76–82.
3. Ge, X., et al. (2014). 5G wireless backhaul networks: Challenges and research advances. IEEE Network, 28, 6–11.
4. TR 136 912, LTE; feasibility study for further advancements for E-UTRA (LTE-Advanced), 3GPP (2017).
5. TR 36.839, Technical specification group radio access network; evolved universal terrestrial radio access (E-UTRA); mobility enhancements in heterogeneous networks, 3GPP (2012).
A. Sarma, S. Chakraborty and S. Nandi, "Deciding Handover Points Based on Context-Aware Load Balancing in a WiFi-WiMAX Heterogeneous Network Environment," in IEEE Transactions on Vehicular Technology, vol. 65, no. 1, pp. 348-357, Jan. 2016, doi: 10.1109/TVT.2015.2394371.
6. H. Mzoughi, F. Zarai, M. S. Obaidat and L. Kamoun, "3GPP LTE-Advanced Congestion Control Based on MIH Protocol," in IEEE Systems Journal, vol. 11, no. 4, pp. 2345-2355, Dec. 2017, doi: 10.1109/JSYST.2015.2407373.
7. Y. Wang, J. Chang and G. Huang, "A Handover Prediction Mechanism Based on LTE-A UE History Information," 2015 18th International Conference on Network-Based Information Systems, Taipei, 2015, pp. 167-172, doi: 10.1109/NBiS.2015.29.
8. N. Md Isa, M. D. Baba, R. Ab Rahman and A. L. Yusof, "Self-organizing network based handover mechanism for LTE networks," 2015 International Conference on Computer, Communications, and Control Technology (I4CT), Kuching, 2015, pp. 11-15, doi: 10.1109/I4CT.2015.7219527.
9. M. K. Giluka, M. S. A. Khan, G. M. Krishna, T. A. Atif, V. Sathya and B. R. Tamma, "On handovers in Uplink/Downlink decoupled LTE HetNets," 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), Doha, 2016, pp. 315-320, doi: 10.1109/WCNCW.2016.7552718. 10. Jouli, K. Hassine and M. Frikha, "Optimizing Bandwidth Capacity during Soft Handover in LTE-A
System: Network Coding Based Approach," 2016 Global Summit on Computer & Information Technology (GSCIT), Sousse, 2016, pp. 97-101, doi: 10.1109/GSCIT.2016.13.
11. Chikte and Rajesh A, "Performance analysis of an improved CSI feedback technique for LTE-A system with Femtocell Interference," 2016 IEEE International Conference on Engineering and Technology (ICETECH), Coimbatore, 2016, pp. 1055-1058, doi: 10.1109/ICETECH.2016.7569411.
A. Mukherjee, D. De and P. Deb, "Interference management in macro-femtocell and micro-femtocell cluster-based long-term evaluation-advanced green mobile network," in IET Communications, vol. 10, no. 5, pp. 468-478, 24 3 2016, doi: 10.1049/iet-com.2015.0982. 12. D. Pant, V. Kumar, P. Dhuliya and T. Lal, "Performance analysis of femtocell in macro-cellular
environment," 2016 2nd International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Fall), Bareilly, 2016, pp. 1-4, doi: 10.1109/ICACCAF.2016.7748984.
13. Ahmad, Rami; Sundararajan, Elankovan A.; Othman, Nor E.; Ismail, Mahamod (2017). An efficient handover decision in heterogeneous LTE-A networks under the assistance of users’ profile. Telecommunication Systems, (), –. doi:10.1007/s11235-017-0374-4
14. Amirrudin, Nurul ‘Ain; Ariffin, Sharifah Hafizah Syed; Abd. Malik, Nik Noordini Nik; Ghazali, Nurzal Effiyana (2017). Analysis of Handover Performance in LTE Femtocells Network. Wireless Personal Communications.
15. Omitola, Olusegun O.; Srivastava, Viranjay M. (2017). An Enhanced Handover Algorithm in LTE-Advanced Network. Wireless Personal Communications.
16. H. S. Suma, R. Mathew and C. P. Prabodh, "Analysis of Intra-LTE Handover in an Error Prone Environment," 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, 2018, pp. 504-508, doi: 10.1109/ICIRCA.2018.8597405.
17. S. Biswas, S. Chakraborty and A. Gupta, "Reducing Spurious Handovers in Dense LTE Networks based on Signal Strength Look-ahead," 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Limassol, 2018, pp. 1-8, doi: 10.1109/WiMOB.2018.8589147.
18. M. Adel, M. S. Darweesh, H. Mostafa, H. Kamal and M. El-Ghoneimy, "Optimization of Handover Problem Using Q-learning for LTE Network," 2018 30th International Conference on Microelectronics (ICM), Sousse, Tunisia, 2018, pp. 188-191, doi: 10.1109/ICM.2018.8704001.
19. P. Sambanthan and T. Muthu, "Role of Femtocell Networks beyond 4G," 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA), Pondicherry, 2018, pp. 1-5, doi: 10.1109/ICSCAN.2018.8541156.
20. Preethi, G. A.; Gauthamarayathirumal, P.; Chandrasekar, C. (2019). Vertical Handover Analysis Using Modified MADM Method in LTE. Mobile Networks and Applications.
21. M. Tayyab, G. P. Koudouridis, X. Gelabert and R. Jäntti, "Signaling Overhead and Power Consumption during Handover in LTE," 2019 IEEE Wireless Communications and Networking Conference (WCNC), Marrakesh, Morocco, 2019, pp. 1-6, doi: 10.1109/WCNC.2019.8885459.
22. M. Mandour, F. Gebali, A. D. Elbayoumy, G. M. Abdel Hamid and A. Abdelaziz, "Handover Optimization and User Mobility Prediction in LTE Femtocells Network," 2019 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2019, pp. 1-6, doi: 10.1109/ICCE.2019.8662064.
23. Khwandah, Sinan A.; Cosmas, John P.; Lazaridis, Pavlos I.; Glover, Ian A.; Zaharis, Zaharias D.; Prasad, Neeli R. (2019). Energy Efficient Mobility Enhancement in LTE Pico–Macro HetNet Systems. Wireless Personal Communications, (), –. doi:10.1007/s11277-019-06623-4
24. T. M. Ho and K. -K. Nguyen, "Joint Server Selection, Cooperative Offloading and Handover in Multi-access Edge Computing Wireless Network: A Deep Reinforcement Learning Approach," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2020.3043736.
25. H. E. I. Jubara, "An efficient handover procedure in vehicular communication," 2020 2nd International Conference on Computer and Information Sciences (ICCIS), Sakaka, Saudi Arabia, 2020, pp. 1-5, doi: 10.1109/ICCIS49240.2020.9257665.
26. G. Li and C. Lai, "Platoon Handover Authentication in 5G-V2X : IEEE CNS 20 Poster," 2020 IEEE Conference on Communications and Network Security (CNS), Avignon, France, 2020, pp. 1-2, doi: 10.1109/CNS48642.2020.9162271.
A. Mukherjee, P. Deb, D. De and M. S. Obaidat, "WmA-MiFN: A Weighted Majority and Auction Game Based Green Ultra-Dense Micro-Femtocell Network System," in IEEE Systems Journal, vol. 14, no. 1, pp. 353-362, March 2020, doi: 10.1109/JSYST.2019.2911977.
27. P. Rosenberger et al., "Object-Independent Human-to-Robot Handovers Using Real Time Robotic Vision," in IEEE Robotics and Automation Letters, vol. 6, no. 1, pp. 17-23, Jan. 2021, doi: 10.1109/LRA.2020.3026970.
