QoS‐driven resource allocation in green OFDMA wireless networks

Abstract

Summary In this paper, we present a QoS‐driven energy efficient power and subcarrier allocation in green orthogonal frequency division multiple access networks. Our proposed scheme aims at maximizing the effective energy efficiency (EEE), defined as overall effective capacity per total power consumption, subject to given user delay‐QoS requirements and an average sum transmit power constraints. We analytically obtain the uniquely global optimal power and subcarrier using fractional programming, which transforms the fractional program into an equivalent parametric convex program that has a tractable solution. Analytical results show that the optimal solution has the same structure as effective capacity maximization and overall power minimization solutions. Simulation results show that there exists a trade‐off between EEE and delay. When the delay is more stringent, the EEE decreases. Moreover, when the number of subcarriers increase, EEE increases, where a fixed optimal EEE can be achieved regardless of stringency of delay‐QoS requirements. Furthermore, our proposed resource allocation provides significant EEE gains over both the independent resource allocation and overall power minimization schemes. Copyright © 2015 John Wiley & Sons, Ltd.

A Novel Power Consumption Model for Effective Energy Efficiency in Wireless Networks

“…In [10], power allocation for EEE maximization in point-to point OFDM systems is performed by non-parametric convex optimization. Power and subcarrier allocation in OFDMA systems is analyzed in [11].…”

Resource management in OFDMA heterogeneous network

“…To this end, the subcarriers are sequentially assigned and cell-edge receivers are provided with sufficient power. In [16], a delay-aware power and subcarrier allocation strategy are proposed to maximize effective energy efficiency, which is the ratio of the overall effective capacity to the total consumed power. In [17], the FFR scheme is evaluated in terms of the average number of bits that can be transmitted per symbol in the area and compared with the traditional frequency reuse.…”