Joint Power Allocation and Scheduling of Multi-Antenna OFDM System in Broadcast Channel

This paper considers the general multiuser down-link scheduling problem and power minimization with multiuser rate constraints. We present joint user selection algorithms for DPC, ZF-DPC, ZFBF and TDMA for multi-antenna OFDM system in broadcast channels, and we also present a practical waterfilling solution in this paper. By the selected users with the consideration of fairness, we derive the power optimization algorithm with multiuser rate constraints. Simulation results show that the presented user scheduling algorithms and power minimization algorithms can achieve good power performance. Meanwhile, simulation results also show that the scheduling algorithm can guarantee fairness.

[1]  Max H. M. Costa,et al.  Writing on dirty paper , 1983, IEEE Trans. Inf. Theory.

[2]  Nihar Jindal,et al.  Symmetric Capacity of MIMO Downlink Channels , 2006, 2006 IEEE International Symposium on Information Theory.

[3]  N.D. Sidiropoulos,et al.  On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm , 2005, IEEE Transactions on Signal Processing.

[4]  Hiroshi Sato,et al.  An outer bound to the capacity region of broadcast channels (Corresp.) , 1978, IEEE Trans. Inf. Theory.

[5]  Andrea J. Goldsmith,et al.  On the duality of Gaussian multiple-access and broadcast channels , 2002, IEEE Transactions on Information Theory.

[6]  Wei Yu,et al.  Sum capacity of Gaussian vector broadcast channels , 2004, IEEE Transactions on Information Theory.

[7]  John M. Cioffi,et al.  Transmit power optimization for Gaussian vector broadcast channels , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[8]  Andrea J. Goldsmith,et al.  Dirty-paper coding versus TDMA for MIMO Broadcast channels , 2005, IEEE Transactions on Information Theory.

[9]  Andrea J. Goldsmith,et al.  On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.

[10]  Abbas El Gamal,et al.  An outer bound to the capacity region of the broadcast channel , 2006, ISIT.

[11]  Andrea J. Goldsmith,et al.  Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.

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

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

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

[15]  Shlomo Shamai,et al.  The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel , 2006, IEEE Transactions on Information Theory.

[16]  Harish Viswanathan,et al.  Downlink capacity evaluation of cellular networks with known-interference cancellation , 2003, IEEE J. Sel. Areas Commun..

[17]  David Tse,et al.  Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality , 2003, IEEE Trans. Inf. Theory.