Downlink Scheduling in Network MIMO Using Two-Stage Channel State Feedback

In this paper, we propose a user scheduling scheme which is based merely on the ergodic rate. We derive the ergodic rate of each user for our network MIMO system from the average Signal-to-Noise Ratio (SNR) and the covariance of prediction error. Further more, we design a joint precoding for the selected users. The precoding matrices are contrived according to the predicted Channel State Information at Transmitter (CSIT) in the future time slot to reduce the deviation caused by delay. Such a network MIMO system is under consideration, where the users are cooperatively served by multiple Base Stations (BSs). User scheduling and joint precoding are executed by a central unit connected to all BSs. Both the above functions require the CSIT which is acquired by an uplink feedback overhead. Simulation results demonstrate a conspicuous improvement in user spectral efficiency with reduced feedback.

[1]  J. Wishart.  THE GENERALISED PRODUCT MOMENT DISTRIBUTION IN SAMPLES FROM A NORMAL MULTIVARIATE POPULATION , 1928 .

[2]  Lars Thiele,et al.  Distributed Base Station Cooperation via Block-Diagonalization and Dual-Decomposition , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[3]  Giuseppe Caire,et al.  MIMO downlink scheduling with non-perfect channel state knowledge , 2009, 2009 IEEE Information Theory Workshop.

[4]  A. Rukhin.  Matrix Variate Distributions , 1999, The Multivariate Normal Distribution.

[5]  Raj Jain,et al.  A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems , 1998, ArXiv.

[6]  Jeffrey G. Andrews,et al.  Networked MIMO with clustered linear precoding , 2008, IEEE Transactions on Wireless Communications.

[7]  Zhi Ding,et al.  Global convergence of fractionally spaced Godard (CMA) adaptive equalizers , 1996, IEEE Trans. Signal Process..

[8]  B.L. Evans,et al.  Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization , 2005, IEEE Transactions on Signal Processing.

[9]  Witold A. Krzymien,et al.  User Scheduling for Network MIMO Systems with Successive Zero-Forcing Precoding , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[10]  Antonia Maria Tulino,et al.  Capacity of multiple-transmit multiple-receive antenna architectures , 2002, IEEE Trans. Inf. Theory.

[11]  Hg Borgos.  Partitioning of a line segment , 2000 .

[12]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.

[13]  Namseok Chang,et al.  MIMO-OFDM Downlink Channel Prediction for IEEE802.16e Systems Using Kalman Filter , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[14]  Jeffrey G. Andrews,et al.  Block Diagonalization in the MIMO Broadcast Channel with Delayed CSIT , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.