Browse > Article

Performance Evaluation of Inter-Sector Collaborative PF Schedulers for Multi-User MIMO Transmission Using Zero Forcing  

Lee, Ji-Won (Department of Electronic Engineering, Sogang University)
Sung, Won-Jin (Department of Electronic Engineering, Sogang University)
Publication Information
Abstract
Multi-user MIMO (Multiple-Input Multiple-Output) systems require collaborative PF schedulers to improve the performance of the log sum of average transmission rates. While the performance of single cell based conventional PF schedulers has been evaluated over various channel conditions, scheduling algorithms by multiple base stations which select multiple users over a given time frame and their performance require further investigations. In this paper, we apply a collaborative PF scheduler to the distributed multi-user MIMO system, which assigns radio resources to multiple users by exchanging user channel information from base stations located in three adjacent sectors. We further evaluate its performance in terms of the log sum of average transmission rates. The performance is compared to that of the full-search collaborative PF scheduler which searches over all possible combinations of user groups, and that of a parallel PF scheduler that determines users without channel information exchange among base stations. We show the log sum of average transmission rates of the collaborative PF scheduler outperforms that of the parallel PF scheduler in low percentile region. In addition, the collaborative PF scheduler exhibits a negligible performance degradation when compared to the full-search collaborative PF scheduler while a significant reduction of the computational complexity is achievable at the same time.
Keywords
Proportional fairness; Multi-user MIMO;
Citations & Related Records
연도 인용수 순위
  • Reference
1 T. Yoo and A. Goldsmith, "On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming," IEEE J. Select. Areas Commun., vol. 23, no. 3, pp. 528-541, Mar. 2006.
2 L. Zhoa and Y. Jiawei, "Distributed scheduling algorithm for multiuser MIMO downlink with adaptive feedback," J. Commun., vol. 4, no. 3, pp. 164-169, April 2009.
3 G. Song and Y. Li, "Cross-layer optimization for OFDM wireless networks – Part I: Theoretical framework; Part II: algorithm development," IEEE Trans. Wireless Commun., vol. 4, no. 2, pp. 614–634, March 2005.   DOI
4 P. Viswanath, D. N. C. Tse, and R. Laroia, "Opportunistic beamforming using dumb antennas," IEEE Trans. Inform. Theory, vol. 48, pp. 1277-1294, June 2002.   DOI   ScienceOn
5 E. H. Shin and D. W. Kim, "On the optimal sum-capacity growth of ZFBF with quality based channel reporting in multiuser downlink channels," IEEE Trans. Commun., vol. 57, no. 6, pp. 1643-1647, June 2009.   DOI
6 X. Chen and H. Hu, "Double proportional fair user pairing algorithm for uplink virtual MIMO systems," IEEE Trans. Wireless Commun., vol. 7, no. 7, pp. 2425-2429, July 2008.   DOI
7 H. J. Kushner and P. A. Whiting, "Convergence of proportional-fair sharing algorithms under general conditions," IEEE Trans. Wireless Commun., vol. 3, no. 4, pp. 1250-1259, July 2004.   DOI   ScienceOn
8 F. P. Kelly, A. Maulloo, and D. Tan, "Rate control for communication networks: Shadow prices, proportional fairness and stability," J. Oper. Res. Soc., vol. 49, no. 3, pp. 237-252, Mar. 1998.   DOI
9 H. Zhou, P. Fan, and J. Li, "Cooperative proportional fairness scheduling for wireless transmissions," in Proc. 2009 Int. Conf. Commun. and Mobile Com., Leipzig, Germany, June 21-24, 2009.
10 F. P. Kelly, "Charging and rate control for elastic traffic," European Trans. Telecommun., vol. 8, pp. 33-37, 1997.   DOI   ScienceOn