Energy-Efficient Resource Allocation in OFDMA Networks

被引:181
|
作者
Xiong, Cong [1 ]
Li, Geoffrey Ye [1 ]
Zhang, Shunqing [2 ,3 ]
Chen, Yan [2 ]
Xu, Shugong [2 ]
机构
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
[2] Huawei Technol Co Ltd, GREAT Res Team, Shanghai, Peoples R China
[3] Huawei Technol Co Ltd, Green Radio Excellence Architecture & Technol GRE, Shanghai, Peoples R China
基金
美国国家科学基金会;
关键词
Energy efficiency (EE); green radio; orthogonal frequency division multiple access (OFDMA); spectral efficiency (SE); MULTIUSER OFDM; OPTIMIZATION; CHANNELS; SYSTEMS; POWER;
D O I
10.1109/TCOMM.2012.082812.110639
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The widespread application of multimedia wireless services and requirements of ubiquitous access have triggered rapidly booming energy consumption at both the base station side and the user equipment (UE) side. Hence, energy-efficient design in wireless networks is very important and is becoming an inevitable trend. In this paper, we study the energy-efficient resource allocation in both downlink and uplink cellular networks with orthogonal frequency division multiple access (OFDMA). For the downlink transmission, the generalized energy efficiency (EE) is maximized while for the uplink case the minimum individual EE is maximized, both under certain prescribed per-UE quality-of-service (QoS) requirements. For both transmission scenarios, we first provide the optimal solution and then develop a suboptimal but low-complexity approach by exploring the inherent structure and property of the energy-efficient design. For the downlink case, by modifying the original problem, we also find a computationally efficient and numerically tractable upper bound on the EE, which indicates the performance limit and is demonstrated to be quite tight if the number of subcarriers is larger than that of UEs and motivates us to find a near-optimal approach relying on the quasiconcave relation between the modified EE and transmit power. Simulation results show that the energy-efficient design greatly improves EE compared with the conventional spectral-efficient design and the low-complexity suboptimal approaches can achieve a promising tradeoff between performance and complexity.
引用
收藏
页码:3767 / 3778
页数:12
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