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Precoder design in downlink CoMP-JT MIMO network via WMMSE and asynchronous ADMM

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Abstract

Precoder design of coordinated multi-point joint transmission (CoMP-JT) multiple-input and multiple-output (MIMO) network aimied at throughput maximization is a challenging problem. In this paper, we propose an asynchronous distributed iterative method to solve this problem. We transform the original throughput maximizing problem to the weighted minimum mean square error (WMMSE) problem, then decompose the problem into a series of subproblems. Based on alternation direction method of multipliers (ADMM), the proposed algorithm can solve the optimal precoder in a distributed manner. With asynchronous information exchange mechanism considered, the convergence rate of our algorithm can be accelerated further. Numerical results demonstrate the increase of throughput and the optimality of the precoding scheme provided by our algorithm.

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References

  1. Irmer R, Droste H, Marsch P, et al. Coordinated multipoint: concepts, performance, and field trial results. IEEE Commun Mag, 2011, 49: 102–111

    Article  Google Scholar 

  2. Access EUTR. Further advancements for E-UTRA physical layer aspects. 3GPP Technical Report TR36. 814. 2010

  3. Gong S Q, Xing C W, Fei Z S, et al. Cooperative beamforming design for physical-layer security of multi-hop MIMO communications. Sci China Inf Sci, 2016, 59: 062304

    Article  Google Scholar 

  4. Lee D, Seo H, Clerckx B, et al. Coordinated multipoint transmission and reception in LTE-advanced: deployment scenarios and operational challenges. IEEE Commun Mag, 2012, 50: 148–155

    Article  Google Scholar 

  5. Sawahashi M, Kishiyama Y, Morimoto A, et al. Coordinated multipoint transmission/reception techniques for LTEadvanced [coordinated and distributed MIMO]. IEEE Wirel Commun, 2010, 17: 26–34

    Article  Google Scholar 

  6. Cui Q M, Wang H, Hu P X, et al. Evolution of limited-feedback CoMP systems from 4G to 5G: CoMP features and limited-feedback approaches. IEEE Veh Technol Mag, 2014, 9: 94–103

    Article  Google Scholar 

  7. Shim S, Kwak J S, Heath R W, et al. Block diagonalization for multi-user MIMO with other-cell interference. IEEE Trans Wirel Commun, 2008, 7: 2671–2681

    Article  Google Scholar 

  8. Zhang J, Chen R, Andrews J G, et al. Networked MIMO with clustered linear precoding. IEEE Trans Wirel Commun, 2009, 8: 1910–1921

    Article  Google Scholar 

  9. Hong M Y, Sun R, Baligh H, et al. Joint base station clustering and beamformer design for partial coordinated transmission in heterogeneous networks. IEEE J Sel Areas Commun, 2013, 31: 226–240

    Article  Google Scholar 

  10. Lagen S, Agustin A, Vidal J, et al. Distributed user-centric clustering and precoding design for CoMP joint transmission. In: Proceedings of IEEE Global Communications Conference, San Diego, 2015

    Google Scholar 

  11. Bjornson E, Zakhour R, Gesbert D, et al. Cooperative multicell precoding: rate region characterization and distributed strategies with instantaneous and statistical CSI. IEEE Trans Signal Process, 2010, 58: 4298–4310

    Article  MathSciNet  Google Scholar 

  12. Liao W C, Hong M Y, Liu Y F, et al. Base station activation and linear transceiver design for optimal resource management in heterogeneous networks. IEEE Trans Signal Process, 2014, 62: 3939–3952

    Article  MathSciNet  Google Scholar 

  13. Shi Q J, Razaviyayn M, Luo Z Q, et al. An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel. IEEE Trans Signal Process, 2011, 59: 4331–4340

    Article  MathSciNet  Google Scholar 

  14. Kim T M, Sun F, Paulraj A J. Low-complexity MMSE precoding for coordinated multipoint with per-antenna power constraint. IEEE Signal Process Lett, 2013, 20: 395–398

    Article  Google Scholar 

  15. Gong S Q, Xing C W, Fei Z S, et al. Millimeter-wave secrecy beamforming designs for two-way amplify-and-forward MIMO relaying networks. IEEE Trans Veh Technol, 2017, 66: 2059–2071

    Article  Google Scholar 

  16. Guo S Z, Xing C W, Fei Z S, et al. Robust capacity maximization transceiver design for MIMO OFDM systems. Sci China Inf Sci, 2016, 59: 062301

    Article  Google Scholar 

  17. Kaleva J, Berry R, Honig M, et al. Decentralized sum MSE minimization for coordinated multi-point transmission. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, 2014. 469–473

    Google Scholar 

  18. Li J, Wu J X, Peng M G, et al. Queue-aware energy-efficient joint remote radio head activation and beamforming in cloud radio access networks. IEEE Trans Wirel Commun, 2016, 15: 3880–3894

    Article  Google Scholar 

  19. Cui Q M, Gu Y, Ni W, et al. Effective capacity of licensed-assisted access in unlicensed spectrum for 5G: from theory to application. IEEE J Sel Areas Commun, 2017, 35: 1754–1767

    Article  Google Scholar 

  20. Cui Q M, Yuan T P, Ni W. Energy-efficient two-way relaying under non-ideal power amplifiers. IEEE Trans Veh Technol, 2017, 66: 1257–1270

    Article  Google Scholar 

  21. Kumar S, Jain R, Rajawat K. Asynchronous optimization over heterogeneous networks via consensus ADMM. IEEE Trans Signal Inf Process Networks, 2017, 3: 114–129

    Article  MathSciNet  Google Scholar 

  22. Mota J F C, Xavier J M F, Aguiar P M Q, et al. D-ADMM: a communication-efficient distributed algorithm for separable optimization. IEEE Trans Signal Process, 2013, 61: 2718–2723

    Article  MathSciNet  Google Scholar 

  23. Hong M Y. A distributed, asynchronous and incremental algorithm for nonconvex optimization: an ADMM approach. IEEE Trans Control Netw Syst, 2017. doi: 10.1109/TCNS.2017.2657460

    Google Scholar 

  24. Chang T H, Hong M Y, Liao W C, et al. Asynchronous distributed ADMM for large-scale optimization part I: algorithm and convergence analysis. IEEE Trans Signal Process, 2016, 64: 3118–3130

    Article  MathSciNet  Google Scholar 

  25. Chang T H, Liao W C, Hong M Y, et al. Asynchronous distributed ADMM for large-scale optimization-part II: linear convergence analysis and numerical performance. IEEE Trans Signal Process, 2016, 64: 3131–3144

    Article  MathSciNet  Google Scholar 

  26. Christensen S S, Agarwal R, Carvalho E, et al. Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design. IEEE Trans Wirel Commun, 2008, 7: 4792–4799

    Article  Google Scholar 

  27. Boyd S. Distributed optimization and statistical learning via the alternating direction method of multipliers. FNT Mach Learn, 2010, 3: 1–122

    Article  MATH  Google Scholar 

  28. Palomar D P, Chiang M. A tutorial on decomposition methods for network utility maximization. IEEE J Sel Areas Commun, 2006, 24: 1439–1451

    Article  Google Scholar 

  29. Bertsekas D P, Tsitsiklis J N. Parallel and Distributed Computation: Numerical Methods. Englewood Cliffs: Prentice Hall, 1989

    MATH  Google Scholar 

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Acknowledgements

This work was supported in part by Beijing Natural Science Foundation (Grant No. 4152047) and National Natural Science Foundation of China (Grant Nos. 61671058, 61371075).

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Correspondence to Zesong Fei.

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Wu, Z., Fei, Z. Precoder design in downlink CoMP-JT MIMO network via WMMSE and asynchronous ADMM. Sci. China Inf. Sci. 61, 082306 (2018). https://doi.org/10.1007/s11432-017-9275-y

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  • DOI: https://doi.org/10.1007/s11432-017-9275-y

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