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Terminal-based Dynamic Clustering Algorithm in Multi-Cell Cellular System

  • Ni, Jiqing (Department of Information and Electronics Beijing Institute of Technology) ;
  • Fei, Zesong (Department of Information and Electronics Beijing Institute of Technology) ;
  • Xing, Chengwen (Department of Information and Electronics Beijing Institute of Technology) ;
  • Zhao, Di (Department of Information and Electronics Beijing Institute of Technology) ;
  • Kuang, Jingming (Department of Information and Electronics Beijing Institute of Technology)
  • Received : 2012.05.16
  • Accepted : 2012.08.18
  • Published : 2012.09.30

Abstract

A terminal-based dynamic clustering algorithm is proposed in a multi-cell scenario, where the user could select the cooperative BSs from the predetermined static base stations (BSs) set based on dynamic channel condition. First, the user transmission rate is derived based on linear precoding and per-cell feedback scheme. Then, the dynamic clustering algorithm can be implemented based on two criteria: (a) the transmission rate should meet the user requirement for quality of service (QoS); (b) the rate increment exceeds the predetermined constant threshold. By adopting random vector quantization (RVQ), the optimized number of cooperative BSs and the corresponding channel conditions are presented respectively. Numerical results are given and show that the performance of the proposed method can improve the system resources utilization effectively.

Keywords

References

  1. D. Gesbert, S. Hanly, H. Huang, and S. S. Shitz, "Multi-cell MIMO cooperative networks: a new look at interference," IEEE Journal on Selected areas in Communications, vol. 28, no. 9, pp. 1380-1408, Dec. 2010.
  2. A. Gjendemsjoe, D. Gesbert, G. Oien, and S. Kiani, "Binary power control for sum rate maximization over multiple interfering links," IEEE Transactions on Wireless Communications, Vol. 7, No. 8, pp. 3164-3173, Aug.2008.
  3. C. K. Wen, and K. K. Wong, "On the sum-rate of uplink MIMO cellular systems with amplify-and-forward relaying and collaborative base stations," IEEE Journal on Selected Areas in Communications Special Issue on Cooperative Communications in MIMO Cellular Networks, Vol. 28, No. 9, pp. 1409-1424, December 2010.
  4. M. Yu, A. Malvankar, and L. Yan, "A new adaptive clustering technique for large-scale sensor networks," in Proc. IEEE Int. Conf. Networks, Nov. 2005, vol. 2, pp. 678-683.
  5. A. Papadogiannis, D. Gesbert, and E. Hardouin, "A dynamic clustering approach in wireless networks with multi-cell cooperative processing," in IEEE International Conference on Communications (ICC 2008), Beijing, China, May 2008, pp. 4033-4037.
  6. S. Venkatesan, "Coordinating base stations for greater uplink spectral efficiency in a cellular network," in Proceedings of the 18th IEEE International Symposium on Personal, Indoor and Mobile Radio Com-munications (PIMRC 2007), Sep. 2007.
  7. D. Gesbert, S.G. Kiani, A. Gjendemsj, and G.E. Oien, "Adaptation, Coordination, and Distributed Resource Allocation in Interference-Limited Wireless Networks," Proceedings of the IEEE , vol.95, no.12, pp.2393-2409, Dec. 2007.
  8. T.K.Ng. Chris, and H. Huang, "Linear Precoding in Cooperative MIMO Cellular Networks with Limited Coordination Clusters" IEEE Journal on Selected Areas in communications. Vol. 28, No. 9, pp.1446-1454, Dec. 2010.
  9. N. Levy and S. S. Shitz, "Clustered local decoding for wyner-type cellular models," IEEE Trans. Inform. Theory, vol. 55, no. 11, pp. 4967-4985, Nov. 2009.
  10. J. Hoydis, M. Kobayashi, and M. Debbah, "On the optimal number of cooperative base stations in network MIMO systems," 2010, preprint: arXiv: 1003.0332vl.
  11. W. Xu, C. Zhao, Z. Ding, "Optimisation of limited feedback design for heterogeneous users in multi-antenna downlinks." IET Comm., vol.3, no.11, pp.1724-1735, 2009. https://doi.org/10.1049/iet-com.2008.0726
  12. J. Zhang, R. Chen, J. G. Andrews, A. Ghosh, and R. W. Heath, "Net-worked MIMO with clustered linear precoding," IEEE Trans. Wireless Commun., vol. 8, no. 4, pp. 1910-1921, Apr. 2009.
  13. A. Papadogiannis, D. Gesbert, and E. Hardouin, "A dynamic clustering approach in wireless networks with multi-cell cooperative processing," in Proc. IEEE Intern. Conf. on Comm. (ICC), vol. 2, no. 3, pp. 4033-4037, May 2008.
  14. Y. Cui, Q. Huang, and V. K. N. Lau, "Queue-aware dynamic clustering and power allocation for network MIMO systems via distributed stochastic learning," IEEE Trans. Signal Processing, vol. 59, no. 3, pp. 1229-1238, Feb. 2011.
  15. N.Jindal, S. Vishwanath, and A. Goldsmith, "On the duality of Gaussian multiple-access and broadcast channels," IEEE Transactions on Information Theory, vol. 50, no. 5, pp. 768-783, May 2004. https://doi.org/10.1109/TIT.2004.826646
  16. H. Viswanathan, S. Venkatesan, and H. Huang, "Downlink capacity evaluation of cellular networks with known-interference cancellation," IEEE J. Sel. Areas Commun., vol. 21, no. 5, pp. 802-811, Jun. 2003. https://doi.org/10.1109/JSAC.2003.810346
  17. Y. Cheng, V. K. N. Lau, and Y. Long, "A scalable limited feedback design for network MIMO using per-cell product codebook," IEEE Trans. Wireless Commun., vol. 9, no. 10, pp. 3093-3098, Oct. 2010.
  18. V. Hassel, D. Gesbert, M.-S. Alouini, and G. E. Oien, "A threshold-based channel state feedback algorithm for modern cellular systems," IEEE Trans. Wireless Commun., vol. 6, no. 7, pp. 2422-2426, July 2007.
  19. N. Jindal, "MIMO broadcast channels with finite rate feedback," IEEE Trans. Inf. Theory, vol. 52, no. 11, pp. 5045-5059, 2006.
  20. J. P. Davis, "Leonhard eulers integral: a historical profile of the gamma function," American Mathematics Monthly, vol. 66, no. 10, pp. 849-869, 1959. https://doi.org/10.2307/2309786
  21. C. Au-Yeung and D. J. Love, "On the performance of random vector quantization limited feedback beamforming in a MISO system," IEEE Trans. Wireless Comm., vol. 6, no. 2, pp. 458-462, Feb. 2007.

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