Transmitter optimization for the network MIMO downlink with finite-alphabet and QoS constraints

Min Li, Chunshan Liu, Stephen V. Hanly, Iain B. Collings

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

2 Citations (Scopus)


We consider a network MIMO downlink communication where base stations (BSs) can cooperate on transmission of data symbols to their intended mobile stations (MSs). We assume the data symbols for each user come from a finite alphabet. We formulate a novel power optimization problem for the downlink communication starting with the binary inputs: we take a symbol detection point of view, impose minimum Symbol Error Probability (SEP) as Quality-of-Service (QoS) constraints at the MSs, and show that the resulting problem is convex. We first tackle the problem via centralized approaches and then propose a distributed algorithm to solve the power optimization problem, where only local communication among the base stations is required. We compare with state of the art linear precoding techniques, and demonstrate significant reduction in consumed transmit power attained by the proposed schemes. We also provide an extension of the problem to general finite-alphabet inputs.

Original languageEnglish
Title of host publicationProceedings of the 2013 Australian Communications Theory Workshop
Subtitle of host publicationAusCTW 2013 : January 29 - February 1, 2013 in Adelaide, Australia
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781467346757
ISBN (Print)9781467346733
Publication statusPublished - 2013
EventAustralian Communications Theory Workshop (14th : 2013) - Adelaide, Australia
Duration: 29 Jan 20131 Feb 2013
Conference number: 14th


OtherAustralian Communications Theory Workshop (14th : 2013)


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