From LINC

Downloads
PDF

This paper appeared in the proceedings for IEEE International Conference on Communications.

Abstract

The downlink transmission in multi-user multiple-input multiple-output (MIMO) systems has been extensively studied from both communication-theoretic and information-theoretic perspectives. Most of these papers assume perfect/imperfect channel knowledge. In general, the problem of channel estimation is studied separately. However, in interference-limited communication systems with high mobility, the problem of channel estimation is tightly coupled with the problem of maximizing throughput of the system. In this paper, scheduling and pre-conditioning in the presence of reciprocal time-division duplex (TDD) training are considered. In the case of homogeneous users, a scheduling scheme is proposed and an improved lower bound on the sum capacity is derived. The problem of choosing training sequence length to maximize net throughput of the system is also studied. In the case of heterogeneous users, a modified pre-conditioning method is proposed and an optimized pre-conditioning matrix is derived. This method is combined with a scheduling scheme to further improve achievable weighted-sum rate.

Citation

Jubin Jose, Alexei Ashikhmin, Phil Whiting, and Sriram Vishwanath . "Scheduling and Pre-Conditioning in Multi-User MIMO TDD Systems." Proc. of IEEE International Conference on Communications (ICC '08). 4100-4105.

BibTeX

@inproceedings{ {{{bitex cite}}},
  author = "Jubin Jose and Alexei Ashikhmin and Phil Whiting and Sriram Vishwanath",
  title = { Scheduling and Pre-Conditioning in Multi-User MIMO TDD Systems },
  booktitle = { Proc. of IEEE International Conference on Communications (ICC '08) },
  pages = "4100-4105"
}