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Soft-Information Assisted Near-Optimum Nonlinear Detection for BLAST-type Space Division Multiplexing OFDM Systems

Soft-Information Assisted Near-Optimum Nonlinear Detection for BLAST-type Space Division Multiplexing OFDM Systems
Soft-Information Assisted Near-Optimum Nonlinear Detection for BLAST-type Space Division Multiplexing OFDM Systems
In this contribution, a nonlinear hybrid detection scheme based on a novel soft-information assisted Genetic Algorithm (GA) is proposed for a Turbo Convolutional (TC) coded Space Division Multiplexing (SDM) aided Orthogonal Frequency Division Multiplexing (OFDM) system. Our numerical results show that the performance of the currently known GA-assisted system can be improved by about 2dB with the aid of the GA’s population-based soft solution, approaching the optimum performance of the soft-information assisted Maximum Likelihood (ML) detection, while exhibiting a lower complexity, especially in high-throughput scenarios. Furthermore, the proposed scheme is capable of achieving a good performance even in the so-called overloaded systems, where the number of transmit antennas is higher than the number of receiver antennas. Index Terms—Genetic algorithm, orthogonal frequency division multiplexing, soft information, space division multiplexing,
1230-1234
Jiang, Ming
0f3c0781-ba1f-456a-88b1-b39ec938264f
Akhtman, Jos
6f612df7-9c17-4351-8340-5171fd174330
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Jiang, Ming
0f3c0781-ba1f-456a-88b1-b39ec938264f
Akhtman, Jos
6f612df7-9c17-4351-8340-5171fd174330
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Jiang, Ming, Akhtman, Jos and Hanzo, Lajos (2007) Soft-Information Assisted Near-Optimum Nonlinear Detection for BLAST-type Space Division Multiplexing OFDM Systems. IEEE Transactions on Wireless Communications, 6 (4), 1230-1234.

Record type: Article

Abstract

In this contribution, a nonlinear hybrid detection scheme based on a novel soft-information assisted Genetic Algorithm (GA) is proposed for a Turbo Convolutional (TC) coded Space Division Multiplexing (SDM) aided Orthogonal Frequency Division Multiplexing (OFDM) system. Our numerical results show that the performance of the currently known GA-assisted system can be improved by about 2dB with the aid of the GA’s population-based soft solution, approaching the optimum performance of the soft-information assisted Maximum Likelihood (ML) detection, while exhibiting a lower complexity, especially in high-throughput scenarios. Furthermore, the proposed scheme is capable of achieving a good performance even in the so-called overloaded systems, where the number of transmit antennas is higher than the number of receiver antennas. Index Terms—Genetic algorithm, orthogonal frequency division multiplexing, soft information, space division multiplexing,

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Published date: April 2007
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 264038
URI: http://eprints.soton.ac.uk/id/eprint/264038
PURE UUID: 68b112ae-eb2b-4a55-9186-d907a623668a
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 22 May 2007
Last modified: 10 Dec 2019 01:58

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