Encyclopedia of Wireless Networks

Living Edition
| Editors: Xuemin (Sherman) Shen, Xiaodong Lin, Kuan Zhang

Base Station Cooperations Under Imperfect Conditions

  • Jie GongEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-32903-1_87-1

Synonyms

Definitions

Base station (BS) cooperation is a technique by which multiple BSs simultaneously serve multiple user equipments (UEs) in the same frequency band using networked multiple-input-multiple-output (MIMO) protocol. Figure 1 illustrates a simple example of BS cooperation with two BSs and two UEs. The BSs exchange channel state information (CSI) and UEs’ data for cooperation via a central controller. Each BS conveys the desired signals of both UEs as shown by the red and blue arrows, respectively. Different from the conventional MIMO technique, BS cooperation is subject to per-BS power constraints instead of a sum power constraint. Suppose M single-antenna BSs cooperatively serve N single-antenna UEs in the downlink, the system model can be expressed as
$$\displaystyle \begin{aligned} \boldsymbol{y} = \mathbf{H}\boldsymbol{x} + \boldsymbol{n}, \end{aligned} $$
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References

  1. Bhagavatula R, Heath RW (2011) Adaptive limited feedback for sum-rate maximizing beamforming in cooperative multicell systems. IEEE Trans Signal Process 59(2):800–811MathSciNetCrossRefGoogle Scholar
  2. Gong J, Zhou S, Niu Z, Geng L, Zheng M (2011) Joint scheduling and dynamic clustering in downlink cellular networks. In: IEEE global telecommunications conference (Globecom), pp 1–5Google Scholar
  3. Gong J, Zhou S, Zhou Z (2016) Networked MIMO with fractional joint transmission in energy harvesting systems. IEEE Trans Commun 64(8):3323–3336CrossRefGoogle Scholar
  4. Huang H, Trivellato M, Hottinen A, Shafi M, Smith PJ, Valenzuela R (2009) Increasing downlink cellular throughput with limited network MIMO coordination. IEEE Trans Wirel Commun 8(6):2983–2989CrossRefGoogle Scholar
  5. Karakayali MK, Foschini GJ, Valenzuela RA (2006) Network coordination for spectrally efficient communications in cellular systems. IEEE Wirel Commun 13(4):56–61CrossRefGoogle Scholar
  6. Kim YH (2008) Capacity of a class of deterministic relay channels. IEEE Trans Inf Theory 54(3):1328–1329MathSciNetCrossRefGoogle Scholar
  7. Liu J, Wang D (2009) An improved dynamic clustering algorithm for multi-user distributed antenna system. In: International conference wireless communnication signal processing, pp 1–5Google Scholar
  8. Love DJ, Heath RW, Lau VKN, Gesbert D, Rao BD, Andrews M (2008) An overview of limited feedback in wireless communication systems. IEEE J Sel Areas Commun 26(8):1341–1365CrossRefGoogle Scholar
  9. Maric I, Yates RD, Kramer G (2007) Capacity of interference channels with partial transmitter cooperation. IEEE Trans Inf Theory 53(10):3536–3548MathSciNetCrossRefGoogle Scholar
  10. Marsch P, Fettweis G (2008) On base station cooperation schemes for downlink network MIMO under a constrained backhaul. In: IEEE global telecommunications conference (Globecom), pp 1–6Google Scholar
  11. Marsch P, Fettweis G (2009) On downlink network MIMO under a constrained backhaul and imperfect channel knowledge. In: IEEE global telecommunications conference (Globecom), pp 1–6Google Scholar
  12. Papadogiannis A, Bang HJ, Gesbert D, Hardouin E (2008a) Downlink overhead reduction for multi-cell cooperative processing enabled wireless networks. In: IEEE 19th international symposium personal, indoor and mobile radio communication (PIMRC), pp 1–5Google Scholar
  13. Papadogiannis A, Gesbert D, Hardouin E (2008b) A dynamic clustering approach in wireless networks with multi-cell cooperative processing. In: IEEE international conference communication (ICC), pp 4033–4037Google Scholar
  14. Saleh AAM, Rustako A, Roman R (1987) Distributed antennas for indoor radio communications. IEEE Trans Commun 35(12):1245–1251CrossRefGoogle Scholar
  15. Simeone O, Somekh O, Poor HV, Shamai (Shitz) S (2009) Downlink multicell processing with limited-backhaul capacity. EURASIP J Adv Signal Process 2009(1):840–814Google Scholar
  16. TR36819 (2012) Coordinated multi-point operation for lte physical layer aspects (release 11). Technical report, 3GPPGoogle Scholar
  17. Xu J, Zhang R (2015) CoMP meets smart grid: a new communication and energy cooperation paradigm. IEEE Trans Veh Technol 64(6):2476–2488MathSciNetCrossRefGoogle Scholar
  18. Zhang J, Andrews JG (2008) Distributed antenna systems with randomness. IEEE Trans Wirel Commun 7(9):3636–3646CrossRefGoogle Scholar
  19. Zhang J, Andrews JG (2010) Adaptive spatial intercell interference cancellation in multicell wireless networks. IEEE J Sel Areas Commun 28(9):1455–1468CrossRefGoogle Scholar
  20. Zhang J, Chen R, Andrews JG, Ghosh A, Heath RW (2009) Networked MIMO with clustered linear precoding. IEEE Trans Wirel Commun 8(4):1910–1921CrossRefGoogle Scholar
  21. Zhou S, Zhao M, Xu X, Wang J, Yao Y (2003) Distributed wireless communication system: a new architecture for future public wireless access. IEEE Commun Mag 41(3):108–113CrossRefGoogle Scholar
  22. Zhou S, Gong J, Niu Z, Jia Y, Yang P (2009) A decentralized framework for dynamic downlink base station cooperation. In: IEEE global telecommunications conference (Globecom), pp 1–6Google Scholar
  23. Zhou S, Gong J, Niu Z (2011) Distributed adaptation of quantized feedback for downlink network mimo systems. IEEE Trans Wirel Commun 10(1):61–67CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Data and Computer ScienceSun Yat-sen UniversityGuangzhouChina

Section editors and affiliations

  • Hsiao-hwa Chen

There are no affiliations available