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Near-Optimum Nonlinear Soft Detection for Multiple-Antenna Assisted OFDM

Near-Optimum Nonlinear Soft Detection for Multiple-Antenna Assisted OFDM
Near-Optimum Nonlinear Soft Detection for Multiple-Antenna Assisted OFDM
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 technique 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.
1989-1993
Jiang, M.
bea4a2f2-837f-4dac-9b59-d7f1e1269db7
Akhtman, J.
d4fd2b26-c123-463d-847c-80adc83a89fa
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Jiang, M.
bea4a2f2-837f-4dac-9b59-d7f1e1269db7
Akhtman, J.
d4fd2b26-c123-463d-847c-80adc83a89fa
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Jiang, M., Akhtman, J. and Hanzo, L. (2006) Near-Optimum Nonlinear Soft Detection for Multiple-Antenna Assisted OFDM. IEEE WCNC'06, United States. 03 - 06 Apr 2006. pp. 1989-1993 .

Record type: Conference or Workshop Item (Paper)

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 technique 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.

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More information

Published date: 2006
Additional Information: Event Dates: 3-6 April 2006
Venue - Dates: IEEE WCNC'06, United States, 2006-04-03 - 2006-04-06
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 261720
URI: http://eprints.soton.ac.uk/id/eprint/261720
PURE UUID: bc7e5123-3569-4fd9-b68f-86f34106d5e6
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 22 Dec 2005
Last modified: 20 Jul 2019 01:26

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Contributors

Author: M. Jiang
Author: J. Akhtman
Author: L. Hanzo ORCID iD

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