The University of Southampton
University of Southampton Institutional Repository

Channel Prediction Aided Multiuser Transmission in SDMA

Liu, Wei, Yang, Lie-Liang and Hanzo, Lajos (2008) Channel Prediction Aided Multiuser Transmission in SDMA At IEEE VTC'08 (Spring), Singapore. 11 - 14 May 2008. , pp. 1330-1334.

Record type: Conference or Workshop Item (Paper)


Transmit preprocessing employed at the basestation (BS) has been proposed for simplifying the design of the mobile receiver. Provided that the channel impulse response (CIR) of all the BS to mobile station (MS) links is known in advance-even before the signal’s transmission-it is plausible that the different users’ signals may be differentiated with the aid of their unique, user-specific downlink CIRs. Naturally, this non-causal CIR knowledge is unavailable in practice. Hence a natural design option is to estimate the CIRs at the receiver after the BS’s signal was received and convey it using side-information to the BS for its future use. Naturally, the resultant CIR has to be quantized before its transmission. In addition to this quantization error, it also becomes outdated and both imperfections result in an erosion of the achievable transmit preprocessing gain expressed in terms of either the attainable transmit power reduction or the number of users that may be supported. Another attractive design option is to avoid the CIR-signalling latency by invoking the previously received CIRs for predicting their future evolution using CIR-tap prediction. In this paper, Kalman filtering aided CIR prediction is combined with both minimum mean square error (MMSE) and zero forcing based preprocessing. Our simulation results show that the proposed scheme is capable of attaining 6.5dB gain at a BER of 10?2, when using 6 antennas.

PDF wl-lly-lh-VTC08spring.pdf - Other
Download (207kB)

More information

Published date: May 2008
Additional Information: Event Dates: 11-14 May 2008
Venue - Dates: IEEE VTC'08 (Spring), Singapore, 2008-05-11 - 2008-05-14
Organisations: Southampton Wireless Group


Local EPrints ID: 265896
PURE UUID: ac1e591a-f590-44dd-8876-e713f2973189
ORCID for Lie-Liang Yang: ORCID iD

Catalogue record

Date deposited: 11 Jun 2008 11:58
Last modified: 18 Jul 2017 07:22

Export record


Author: Wei Liu
Author: Lie-Liang Yang ORCID iD
Author: Lajos Hanzo

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.