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Energy efficient downlink MIMO transmission with linear precoding

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Abstract

Energy efficiency (EE) is becoming increasingly important for wireless cellular networks. This paper addresses EE optimization problems in downlink multiuser MIMO systems with linear precoding. Referring to different active transmit/receive antenna sets and transmission schemes as different modes, we propose a joint bandwidth/power optimization and mode switching scheme to maximize EE. With a specific mode, we prove that the optimal bandwidth and transmit power is either full transmit power or full bandwidth. After deriving the optimal bandwidth and transmit power, we further propose mode switching to select the mode with optimal EE. Since the optimal mode switching, i.e. exhaustive search, is too complex to implement, an alternative heuristic method is developed to decrease the complexity through reducing the search size and avoiding the EE calculation during each search. Through simulations, we demonstrate that the proposed methods can significantly improve EE and the performance is similar to the optimal exhaustive search.

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References

  1. Hasan Z, Boostanimehr H, Bhargava H. Green cellular networks: a survey, some research issues and challenges. IEEE Commun Surv Tutor, 2011, 13: 524–540

    Article  Google Scholar 

  2. Chen Y, Zhang S, Xu S, et al. Fundamental tradeoffs on green wireless networks. IEEE Commun Mag, 2011, 49: 30–37

    Article  Google Scholar 

  3. Miao G W, Himayat N, Li G Y. Energy-efficient link adaptation in frequency-selective channels. IEEE Trans Commun, 2010, 58: 545–554

    Article  Google Scholar 

  4. Isheden C, Fettweis G. Energy-efficient multi-carrier link adaptation with sum rate-dependent circuit power. In: Proceedings of the IEEE Global Telecommunications Conference, Miami, 2010. 1–6

  5. Chong Z, Jorswieck E. Energy efficiency in random opportunistic beamforming. In: Proceedings of the 73rd IEEE Vehicular Technology Conference, Budapest, 2011. 1–5

  6. Prabhu R S, Daneshrad B. Energy-efficient power loading for a MIMO-SVD system and its performance in flat fading. In: Proceedings of the IEEE Global Telecommunications Conference, Miami, 2010. 1–5

  7. Cui S, Goldsmith A J, Bahai A. Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE J Sel Areas Commun, 2004, 22: 1089–1098

    Article  Google Scholar 

  8. Kim H S, Daneshrad B. Energy-constrained link adaptation for MIMO OFDM wireless communication systems. IEEE Trans Wirel Commun, 2010, 9: 2820–2832

    Article  Google Scholar 

  9. Xu J, Qiu L, Yu C. Improving energy efficiency through multimode transmission in the downlink MIMO systems. EURASIP J Wirel Commun Netw, 2011, 1: 200

    Article  Google Scholar 

  10. Zhang S, Chen Y, Xu S. Improving energy efficiency through bandwidth, power, and adaptive modulation. In: Proceedings of the IEEE Vehicular Technology Conference, Ottawa, 2010. 1–5

  11. Telatar I E. Capacity of multi-antenna Gaussian channels. Eur Trans Telecomm, 1999, 10: 585–595

    Article  Google Scholar 

  12. Caire G, Shamai S. On the achievable throughput of a multiantenna Gaussian broadcast channel. IEEE Trans Inf Theory, 2003, 49: 1691–1706

    Article  MathSciNet  Google Scholar 

  13. Spencer Q H, Swindlehurst A L, Haardt M. Zero-forcing methods for downlink spatial multiplexing in multi-user MIMO channels. IEEE Trans Signal Process, 2004, 52: 461–471

    Article  MathSciNet  Google Scholar 

  14. Mao J L, Gao J C, Liu Y A, et al. Robust multiuser MIMO scheduling algorithms with imperfect CSI. Sci China Inf Sci, 2012, 55: 815–826

    Article  MATH  Google Scholar 

  15. Shen Z, Chen R, Andrews J G, et al. Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization. IEEE Trans Signal Process, 2006, 54: 3658–3663

    Article  Google Scholar 

  16. Chen R, Shen Z, Andrews J G, et al. Efficient transmit antenna selection for multiuser MIMO systems with block diagonalization. In: Proceedings of the IEEE Global Telecommunications Conference, Washington DC, 2007. 3499–3503

  17. Chen R, Shen Z, Andrews J G, et al. Multimode transmission for multiuser MIMO systems with block diagonalization. IEEE Trans Signal Process, 2008, 56: 3294–3302

    Article  MathSciNet  Google Scholar 

  18. Xu J, Qiu L. Robust multimode selection in the downlink multiuser MIMO channels with delayed CSIT. In: Proceedings of the IEEE International Conference on Communications, Kyoto, 2011. 1–5

  19. Zhang J, Andrews J G, Heath R W. Block diagonalization in the MIMO broadcast channel with delayed CSIT. In: Proceedings of the IEEE Global Telecommunications Conference, Hawaii, 2009. 1–6

  20. Zhang J, Kountouris M, Andrews J G, et al. Multi-mode transmission for the MIMO broadcast channel with imperfect channel state information. IEEE Trans Commun, 2011, 59: 803–814

    Article  Google Scholar 

  21. Boyd S, Vandenberghe L. Convex Optimization. Cambridge: Cambridge University Press, 2004

    MATH  Google Scholar 

  22. Sanayei S, Nosratinia A. Capacity maximizing algorithms for joint transmit-receive antenna selection. In: Proceedings of the 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, 2004. 1773–1776

  23. Sanayei S, Nostratinia A. Antenna selection in MIMO systems. IEEE Commun Mag, 2004, 42: 68–73

    Article  Google Scholar 

  24. Arnold O, Richter F, Fettweis G, et al. Power consumption modeling of different base station types in heterogeneous cellular networks. In: Proceedings of Future Network and Mobile Summit, Florence, 2010. 1–8

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Correspondence to Ling Qiu.

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Xu, J., Li, S., Qiu, L. et al. Energy efficient downlink MIMO transmission with linear precoding. Sci. China Inf. Sci. 56, 1–12 (2013). https://doi.org/10.1007/s11432-012-4766-5

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  • DOI: https://doi.org/10.1007/s11432-012-4766-5

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