User Satisfaction Based ZFBF Scheduling Algorithm in Multi-user MIMO System

In Multi-user MIMO system, traditional user scheduling methods are usually aiming at maximizing the sum-rate capacity of the target system. Such methods select the users which have the best channel quality to service but ignore users' satisfaction. In this paper, we proposed a user satisfaction based judgment criteria, and designed a novel scheduling method in order to ensure users' satisfaction. We apply zero-forcing beam forming (ZFBF) precoding into downlink transmission, and assume perfect knowledge of CSI at the base station. Simulation results show that the algorithm achieved a higher system average user satisfaction degree while suffered a little performance loss compared with the classical SUS-ZFBF strategy.

[1]  Martin Haardt,et al.  An introduction to the multi-user MIMO downlink , 2004, IEEE Communications Magazine.

[2]  Andrea J. Goldsmith,et al.  Optimality of zero-forcing beamforming with multiuser diversity , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[3]  Shlomo Shamai,et al.  The capacity region of the Gaussian MIMO broadcast channel , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[4]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[5]  Luc Martens,et al.  Performing QoE-measurements in an actual 3G network , 2010, 2010 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB).

[6]  Robert W. Heath,et al.  Shifting the MIMO Paradigm , 2007, IEEE Signal Processing Magazine.

[7]  Tam V. Nguyen,et al.  How to Maximize User Satisfaction Degree in Multi-service IP Networks , 2009, 2009 First Asian Conference on Intelligent Information and Database Systems.

[8]  Hyun-Jong Kim,et al.  The QoE Evaluation Method through the QoS-QoE Correlation Model , 2008, 2008 Fourth International Conference on Networked Computing and Advanced Information Management.

[9]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[10]  T. Sälzer,et al.  From Single User to Multiuser Communications : Shifting the MIMO Paradigm , 2007 .

[11]  María Ángeles Callejo-Rodríguez,et al.  Bridging the standardization Gap to provide QoS in current NGN architectures , 2008, IEEE Communications Magazine.

[12]  David Soldani,et al.  QoS and QoE Management in UMTS Cellular Systems: Soldani/QoS and QoE Management in UMTS Cellular Systems , 2006 .