QoS Guaranteed Power and Sub-Carrier Allocation for Uplink OFDMA Networks

Guowei LI  Qinghai YANG  Kyung Sup KWAK  

Publication
IEICE TRANSACTIONS on Communications   Vol.E101-B   No.4   pp.1021-1028
Publication Date: 2018/04/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2016EBP3484
Type of Manuscript: PAPER
Category: Network
Keyword: 
fairness,  energy-efficient,  resource allocation,  OFDMA,  quality of service (QoS),  

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Summary: 
The widespread application of mobile electronic devices has triggered a boom in energy consumption, especially in user equipment (UE). In this paper, we investigate the energy-efficiency (EE) of a UE experiencing the worst channel conditions, which is termed worst-EE. Due to the limited battery of the mobile equipment, worst-EE is a suitable metric for EE fairness optimization in the uplink transmissions of orthogonal frequency division multiple access (OFDMA) networks. More specifically, we determine the optimal power and sub-carrier allocation to maximize the worst-EE with respect to UEs' transmit power, sub-carriers and statistical quality-of-service (QoS). In order to maximize the worst-EE, we formulate a max-min power and sub-carrier allocation problem, which involves nonconvex fractional mixed integer nonlinear programming, i.e., NP-hard to solve. To solve the problem, we first relax the allocation of sub-carriers, formulate the upper bound problem on the original one and prove the quasi-concave property of objective function. With the aid of the Powell-Hestenes-Rockfellar (PHR) approach, we propose a fairness EE sub-carrier and power allocation algorithm. Finally, simulation results demonstrate the advantages of the proposed algorithm.