A fast suboptimal algorithm for detection of 16-QAM signaling in MIMO channels

Soonchul Park, Dong Seog Han, Jim Kim, Eun Su Kang, Hongchao Zhang, William W. Hager

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

3 Scopus citations

Abstract

We develop a computationally efficient approximation of the maximum likelihood (ML) detector for 16 quadrature amplitude modulation (16-QAM) in multiple-input multiple-output (MIMO) systems. The detector is based on solving a convex relaxation of the ML problem by an affinescaling cyclic Barzila-Borwein method for box constrained optimization. Simulation results in a random MIMO system show that this proposed approach outperforms the conventional decorrelator detector and is similar to the semidefinite relaxation (SDR) detector. However, we should note that the complexity of the proposed approach is less than that of those detectors. In the case of 8 antennas and 4 users, about 99% fewer computations are required than the SDR and ML detectors.

Original languageEnglish
Title of host publicationMilitary Communications Conference, MILCOM 2007
DOIs
StatePublished - 2007
EventMilitary Communications Conference, MILCOM 2007 - Orlando, FL, United States
Duration: 29 Oct 200731 Oct 2007

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM

Conference

ConferenceMilitary Communications Conference, MILCOM 2007
Country/TerritoryUnited States
CityOrlando, FL
Period29/10/0731/10/07

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