Peng LanSaidan GongLilin DanYue Xiao
Energy efficiency is of high attention these days due to the development of green communications. Previous resource allocation algorithms in orthogonal frequency division multiple access (OFDMA) mainly focused on maximizing the energy efficiency (EE) of all the users and cannot ensure fairness in advance. To strike a balance between EE and user fairness, this paper proposes an energy-efficient proportional resource allocation algorithm. During subcarriers allocation, the priority of users is adaptively determined by both overall EE and the ratio of users' EE to proportionality. Then a low-complexity power allocation algorithm is extended to uplink OFDMA by searching the water level with constraints on maximum power and minimum rate requirements of each user. Simulation results show that the proposed schemes achieve a substantially proportional fair on EE among users as well as a relatively high over EE.
Zhengguang ZhengLilin DanYue XiaoGang WuSu Hu
Haina YeGubong LimLeonard J. CiminiZhenhui Tan
Dan WuLiang ZhouYueming CaiJoel J. P. C. Rodrigues
Haina YeGubong LimLeonard J. CiminiZhenhui Tan