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
相关论文
共 50 条
  • [41] Energy-Efficient Resource Assignment and Power Allocation in Heterogeneous Cloud Radio Access Networks
    Peng, Mugen
    Zhang, Kecheng
    Jiang, Jiamo
    Wang, Jiaheng
    Wang, Wenbo
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2015, 64 (11) : 5275 - 5287
  • [42] Energy-Efficient Resource Allocation for NOMA Based Small Cell Networks With Wireless Backhauls
    Muhammed, Alemu Jorgi
    Ma, Zheng
    Zhang, Zhengquan
    Fan, Pingzhi
    Larsson, Erik G.
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 68 (06) : 3766 - 3781
  • [43] Optimal Resource Allocation in Energy-Efficient Internet-of-Things Networks With Imperfect CSI
    Ansere, James Adu
    Han, Guangjie
    Liu, Li
    Peng, Yan
    Kamal, Mohsin
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (06) : 5401 - 5411
  • [44] Energy-efficient resource allocation in heterogeneous networks under different backhaul capacity constraints
    Zheng, Handan
    Li, Li
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2022, 35 (09)
  • [45] Energy-Efficient Resource Allocation for Multi-Cell OFDM Networks
    Yuan, Deyu
    Song, Mei
    Teng, Yinglei
    Wang, Xiaojuan
    Ni, Xianmiao
    IETE JOURNAL OF RESEARCH, 2015, 61 (05) : 482 - 491
  • [46] Energy-Efficient Resource Allocation in Mobile Networks with Distributed Antenna Transmission
    Zhong, Lei
    Ji, Yusheng
    Yang, Kun
    MOBILE NETWORKS & APPLICATIONS, 2012, 17 (01) : 36 - 44
  • [47] A FRAMEWORK FOR GLOBALLY OPTIMAL ENERGY-EFFICIENT RESOURCE ALLOCATION IN WIRELESS NETWORKS
    Zappone, Alessio
    Bjornson, Emil
    Sanguinetti, Luca
    Jorswieck, Eduard
    2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 3616 - 3620
  • [48] An Energy-Efficient Resource Allocation Algorithm with QoS Constraints for Heterogeneous Networks
    Coskun, Cemil Can
    Davaslioglu, Kemal
    Ayanoglu, Ender
    2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
  • [49] Energy-Efficient Resource Allocation Optimization for Multimedia Heterogeneous Cloud Radio Access Networks
    Peng, Mugen
    Yu, Yuling
    Xiang, Hongyu
    Poor, H. Vincent
    IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 18 (05) : 879 - 892
  • [50] Energy-Efficient Resource Allocation in Full-Duplex Relaying Networks
    Liu, Gang
    Ji, Hong
    Yu, F. Richard
    Li, Yi
    Xie, Renchao
    2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2014, : 2400 - 2405