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Multiuser Transmission via Multiuser Detection: Altruistic-Optimization and Egocentric-Optimization

Multiuser Transmission via Multiuser Detection: Altruistic-Optimization and Egocentric-Optimization
Multiuser Transmission via Multiuser Detection: Altruistic-Optimization and Egocentric-Optimization
This contribution motivates finding the relationship between multiuser detection (MUD) and multiuser transmission (MUT) or multiuser transmitter preprocessing, so that a study in MUT can benefit from the well-built theory in MUD. Our study shows that there exists a counterpart linear MUT scheme for any given linear MUD scheme. The counterpart linear MUT can be readily designed from the original linear MUD associated with considering the power constraint on the transmitted signals as well as the availability of the knowledge about the noise presenting at the remote terminals. With the aid of our obtained theory, then, three types of MUT algorithms are derived and investigated in correspondence with the well-known linear processing schemes in the fields of MUD, including matched-filtering (MF), zero-forcing (ZF) and minimum mean-square error (MMSE).
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7

Yang, Lie-Liang (2007) Multiuser Transmission via Multiuser Detection: Altruistic-Optimization and Egocentric-Optimization. IEEE VTC2007-Spring. 22 - 25 Apr 2007.

Record type: Conference or Workshop Item (Other)

Abstract

This contribution motivates finding the relationship between multiuser detection (MUD) and multiuser transmission (MUT) or multiuser transmitter preprocessing, so that a study in MUT can benefit from the well-built theory in MUD. Our study shows that there exists a counterpart linear MUT scheme for any given linear MUD scheme. The counterpart linear MUT can be readily designed from the original linear MUD associated with considering the power constraint on the transmitted signals as well as the availability of the knowledge about the noise presenting at the remote terminals. With the aid of our obtained theory, then, three types of MUT algorithms are derived and investigated in correspondence with the well-known linear processing schemes in the fields of MUD, including matched-filtering (MF), zero-forcing (ZF) and minimum mean-square error (MMSE).

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More information

Published date: May 2007
Additional Information: Event Dates: 22 - 25 April 2007
Venue - Dates: IEEE VTC2007-Spring, 2007-04-22 - 2007-04-25
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 264874
URI: http://eprints.soton.ac.uk/id/eprint/264874
PURE UUID: a8fd5a89-8385-4202-a00e-fc92b81b6b8e
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327

Catalogue record

Date deposited: 19 Nov 2007 15:53
Last modified: 29 Oct 2019 02:00

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