Traffic-Aware Relay Sleep Control to Improve Energy Efficiency in Joint Macro-Relay Networks
Na Deng, Ming Zhao, Sihai Zhang, and Wuyang Zhou

TL;DR
This paper proposes a traffic-aware relay sleep control strategy for macro-relay networks that dynamically adjusts relay station modes to enhance energy efficiency, supported by stochastic geometry analysis and simulations.
Contribution
It introduces a novel energy-efficient relay mode adjustment method based on traffic load, with explicit analytical expressions derived for network energy efficiency.
Findings
Significant energy efficiency improvements demonstrated in simulations.
Analytical expressions accurately predict network performance.
Strategy adapts relay modes to traffic variations effectively.
Abstract
In this letter, we consider a joint macro-relay network with densely deployed relay stations (RSs) and dynamically varied traffic load measured by the number of users. An energy-efficient strategy is proposed by intelligently adjusting the RS working modes (active or sleeping) according to the traffic variation. Explicit expressions related to the network energy efficiency are derived based on stochastic geometry theory. Simulation results demonstrate that the derived analytic results are reasonable and the proposed strategy can significantly improve the network energy efficiency.
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced MIMO Systems Optimization · Mobile Ad Hoc Networks
