Joint Optimization of User Fairness and Energy Efficiency in Green LTE-Advanced Cellular Network

• 1、School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876

Abstract：Energy efficiency has become one of the major design goals for green wireless networks, not only for its great effect on global energy crisis and serious CO2 emissions, but also for a growing operation expenditure cost. As the most important energy consuming component, base stations (BSs) are underutilized during low traffic time. Dynamic BS sleeping schemes make energy saving at the cost of cell-edge users' QoS (quality of service), which results in user unfairness. However, the joint optimization of user fairness and energy saving has not studies. In this paper, we develop a theoretical framework for base station energy saving in the downlink LTE-Advanced network and formulate a utility maximization problem that allow for a flexible tradeoff between energy saving and proportional user fairness. However, the joint optimization problem that is non-convex integer program is proved to be NP-hard. We decompose the general problem into two sub-problems and get the close-form solution for load-aware resource allocation problem and propose a greedy dynamic BS operation algorithm, which is easy to implement in practice. Simulations under various practical configurations demonstrate that the proposed algorithm can significantly reduce energy consumption while guarantee the mobile user fairness.

keywords： Energy-Efficiency CoMP Sleeping Mode

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