Scheduling and pre-conditioning in multi-user MIMO TDD systems

Jubin Jose*, Alexei Ashikhmin, Phil Whiting, Sriram Vishwanath

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

26 Citations (Scopus)

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 preconditioning 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.

Original languageEnglish
Title of host publicationICC 2008
Subtitle of host publicationIEEE International Conference on Communications: proceedings: 19-23 May 2008, Beijing
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages4100-4105
Number of pages6
ISBN (Print)9781424420742
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventIEEE International Conference on Communications, ICC 2008 - Beijing, China
Duration: 19 May 200823 May 2008

Other

OtherIEEE International Conference on Communications, ICC 2008
Country/TerritoryChina
CityBeijing
Period19/05/0823/05/08

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