Precoding methods for multi-user tdd MIMO systems

Jubin Jose*, Alexei Ashikhmin, Phil Whiting, Ram Sri Vishwanath

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)

Abstract

We present linear precoding methods for down-link transmission in multi-user multiple-input multiple-output (MIMO) systems where channel state information (CSI) can be obtained through training. In this paper, channel training overhead and estimation error are rigorously accounted for while determining the net system throughput. First, we consider the case with training on the reverse link only. We study a precoding method which is a combination of two schemes: selection of users with largest estimated gains and zero-forcing to selected users. Next, we consider the case with training on both reverse and forward links. We obtain a lower bound on the weighted-sum capacity, and propose an algorithm to determine an efficient precoding matrix. This precoding method effectively utilizes the training on the reverse and forward links in improving net throughput.

Original languageEnglish
Title of host publication46th Annual Allerton Conference on Communication, Control, and Computing
Subtitle of host publicationproceedings: 24-26 September 2008, Monticello, IL
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages761-767
Number of pages7
ISBN (Print)9781424429264
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event46th Annual Allerton Conference on Communication, Control, and Computing - Monticello, IL, United States
Duration: 24 Sep 200826 Sep 2008

Other

Other46th Annual Allerton Conference on Communication, Control, and Computing
CountryUnited States
CityMonticello, IL
Period24/09/0826/09/08

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