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A non-atochastic learning approach to energy efficient mobility management

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Academic year: 2021

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Fig. 2. The mobility management operation for UE i in time slot t.
Fig. 4. Comparison of the per-time-slot energy consumption loss versus time for BREW, 3GPP-macro and 3GPP-FHO
Fig. 5. Impact of delayed feedback to the regret for BREW, 3GPP-macro and 3GPP-FHO.
Fig. 6. Impact of missing feedback to the regret for BREW, 3GPP-macro and 3GPP-FHO.

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