Energy-Efficient Resource Allocation in Cellular Networks With Shared Full-Duplex Relaying

被引:43
作者
Liu, Gang [1 ,2 ]
Yu, F. Richard [3 ,4 ]
Ji, Hong [5 ]
Leung, Victor C. M. [6 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100088, Peoples R China
[2] Univ British Columbia, Vancouver, BC V6T 1Z4, Canada
[3] Carleton Univ, Carleton Sch Informat Technol, Ottawa, ON K1S 5B6, Canada
[4] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
[5] Beijing Univ Posts & Telecommun, Key Lab Univ Wireless Commun, Minist Educ, Beijing 100876, Peoples R China
[6] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
关键词
Dinkelbach method; discrete stochastic optimization; energy efficiency; full-duplex relaying (FDR); resource allocation; SELF-INTERFERENCE; SYSTEMS; DESIGN;
D O I
10.1109/TVT.2014.2359892
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
Recent advances in self-interference cancelation techniques enable full-duplex relaying (FDR) systems, which transmit and receive simultaneously in the same frequency band with high spectrum efficiency. Unlike most existing works, we study the problem of energy-efficient resource allocation in FDR networks. We consider a shared FDR deployment scenario, where an FDR relay is deployed at the intersection of several adjacent cell sectors. First, a simple but practical transmission strategy is proposed to deal with the involved interference, i.e., multiaccess interference, multiuser interference, and self-interference. Then, the problem of joint power and subcarrier allocation is formulated to maximize the network-level energy efficiency while taking the residual self-interference into account. Since the formulated problem is a mixed combinatorial and nonconvex optimization problem with high computation complexity, we use Dinkelbach and discrete stochastic optimization methods to solve the energy-efficient resource-allocation problem efficiently. Simulation results are presented to show the effectiveness of the proposed scheme.
引用
收藏
页码:3711 / 3724
页数:14
相关论文
共 47 条
  • [1] A global search method for discrete stochastic optimization
    Andradottir, S
    [J]. SIAM JOURNAL ON OPTIMIZATION, 1996, 6 (02) : 513 - 530
  • [2] [Anonymous], 1999, ACM Transactions on Modeling and Computer Simulation
  • [3] Atoosa H., 2013, U.S. Patent, Patent No. [20 130 034 044 [P], 20130034044]
  • [4] Adaptive MIMO antenna selection via discrete stochastic optimization
    Berenguer, I
    Wang, XD
    Krishnamurthy, V
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (11) : 4315 - 4329
  • [5] Boyd S., 2004, CONVEX OPTIMIZATION
  • [6] When the Smart Grid Meets Energy-Efficient Communications: Green Wireless Cellular Networks Powered by the Smart Grid
    Bu, Shengrong
    Yu, F. Richard
    Cai, Yegui
    Liu, Xiaoping P.
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2012, 11 (08) : 3014 - 3024
  • [7] The Requirements, Challenges, and Technologies for 5G of Terrestrial Mobile Telecommunication
    Chen, Shanzhi
    Zhao, Jian
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2014, 52 (05) : 36 - 43
  • [8] Fundamental Trade-offs on Green Wireless Networks
    Chen, Yan
    Zhang, Shunqing
    Xu, Shugong
    Li, Geoffrey Ye
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2011, 49 (06) : 30 - 37
  • [9] Effective self interference cancellation in full duplex relay systems
    Choi, D.
    Park, D.
    [J]. ELECTRONICS LETTERS, 2012, 48 (02) : 129 - U1111
  • [10] Full-Duplex MIMO Relaying: Achievable Rates Under Limited Dynamic Range
    Day, Brian P.
    Margetts, Adam R.
    Bliss, Daniel W.
    Schniter, Philip
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2012, 30 (08) : 1541 - 1553