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Joint optimization of spectral and energy efficiency for multi-pair full-duplex two-way relay networks with imperfect channel state information

  • Jia Ge (葛 佳)
  • Mengting Qiu (邱梦婷)
  • Hui Yu (俞 晖)
Article
  • 52 Downloads

Abstract

An iterative algorithm is proposed for jointly optimizing spectral and energy efficiency in a multipair full-duplex (FD) two-way relaying (TWR) system with imperfect channel state information (CSI). Based on Dinkelbach method, a Taylor expansion based approximation method and the Generalized Lagrange Multiplier Method have been applied iteratively to obtain the near optimal relay amplified matrix and power allocation, respectively. And the simulation results illustrate the effectiveness of the proposed algorithm and the algorithm can converge quickly.

Key words

full-duplex (FD) two-way relaying (TWR) imperfect channel state information (CSI) joint optimization 

CLC number

TN 929.5 

Document code

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References

  1. [1]
    LI C, CIOFFI J M, YANG L. Optimal energy efficient joint power allocation for two-hop single-antenna relaying systems [J]. IEEE Transactions on Emerging Telecommunications Technologies, 2014, 25: 745–751.CrossRefGoogle Scholar
  2. [2]
    ZHANG J, HAARDT M. Energy efficient two-way non-regenerative relaying for relays with multiple antennas [J]. IEEE Signal Processing Letters, 2015, 22(8): 1079–1083.CrossRefGoogle Scholar
  3. [3]
    FEI Z, LI N, XING C, et al. Energy-efficient transceiver design for multi-pair two-way relay systems [J]. China Communications, 2015. 12: 133–140.CrossRefGoogle Scholar
  4. [4]
    NGUYEN D, TRAN L N, PIRINEN P, et al. Precoding for full duplex multiuser MIMO systems: Spectral and energy efficiency maximization [J]. IEEE Transactions on Signal Processing, 2013, 61(16): 4038–4050.MathSciNetCrossRefGoogle Scholar
  5. [5]
    LIU G, YU R, JI H, et al. Energy-efficient resource allocation in cellular networks with shared full-duplex relaying [J]. IEEE Transactions on Vehicular Technology, 2015, 64(8): 3711–3724.CrossRefGoogle Scholar
  6. [6]
    CHEN H, LI G, CAI J. Spectral-energy efficiency tradeoff in full-duplex two-way relay networks [J]. IEEE Systems Journal, 2015. DOI: 1109/JSYST.2015.2464238 (published online).Google Scholar
  7. [7]
    RIIHONEN T, WERNER S, WICHMAN R. Mitigation of loopback self-interference in dull-duplex MIMO relays [J]. IEEE Transactions on Signal Processing, 2011, 59(12): 5983–5993.MathSciNetCrossRefGoogle Scholar
  8. [8]
    HE C, SHENG B, ZHU P, et al. Energy-and spectralefficiency tradeoff for distributed antenna systems with proportional fairness [J]. IEEE Journal on Selected Areas in Communications, 2013, 31(5): 894–902.CrossRefGoogle Scholar
  9. [9]
    HUANG Y, PALOMAR D P. Rank-constrained separable semidefinite programming with applications to optimal beamforming [J]. IEEE Transactions on Signal Processing, 2010, 58(2): 664–678.MathSciNetCrossRefGoogle Scholar
  10. [10]
    ZHAO P, ZHANG M, HUI Y, et al. Robust beamforming design for sum secrecy rate optimization in MU-MIMO networks [J]. IEEE Transactions on Information forensics and Security, 2015, 10(9): 1812–1823.CrossRefGoogle Scholar
  11. [11]
    GRANT M C, BOYD S P. CVX: Matlab software for disciplined convex programming: Version 2.0 Beta [DB/OL]. (2016-10-08). http://cvxr.com/cvx.Google Scholar
  12. [12]
    CHEN B. Optimization theory and algorithm [M]. Beijing: Tsinghua University Press, 2005.Google Scholar
  13. [13]
    ZHENG G. Joint beamforming optimization and power control for full-duplex MIMO two-way relay channel [J]. IEEE Transactions on Signal Processing, 2015, 63(5): 555–566.MathSciNetCrossRefGoogle Scholar

Copyright information

© Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Jia Ge (葛 佳)
    • 1
  • Mengting Qiu (邱梦婷)
    • 1
  • Hui Yu (俞 晖)
    • 1
  1. 1.School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina

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