Resource Allocation Method for Improving Energy Efficiency and Receiver Fairness in Wireless Networks

Abstract

In wireless networks, it is important to guarantee the energy efficiency and receiver fairness for satisfying service provider and customer at the same time. In this paper, we propose a resource allocation algorithm which improves energy efficiency as well as receiver fairness based on optimization techniques. In the proposed algorithm, subchannel and power are allocated to receivers iteratively in the consideration of channel state information, amount of dissipated power, and receiver rate, in order to improve energy efficiency and receiver fairness. Through simulation, we show the effectiveness and superiority of the proposed algorithm in terms of energy efficiency and receiver fairness.

On the Starvation Period of CDF-Based Scheduling over Markov Time-Varying Channels

“…As a result, a user having higher signal-to-noise ratio (SNR) on average is scheduled more frequently, which leads to unfairness [2] . A cumulative distribution function (CDF)-based opportunistic scheduling [3] was proposed to resolve the fairness problem while achieving high throughput by utilizing a set of weight parameters, and has been extended to various networks in recent work [1] .…”

Resource Management for Maximizing Simultaneous Transfer of Information and Power

“…. RF 신호를 이용해 전력을 획득하는 방법에 대한 연구는 현재 활발히 진행 중이 다 [2][3][4][5][6][7][8][9][10][11][12][13][14] . [2,3] 서 사용될 470 MHz로 정했으며, 대역폭은 10 MHz 이다 [18] .…”

“…[8,9]에서는 에너지 하베스팅을 이용한 단말을 운용할 때 에너지 효율 최대화할 수 있는 방안을 제시했다. [10]에서는 클러스터 센서 네트워크에서 클러스터링 크기와 에너지 효율성의 관계를 분석하였다.…”