IEICE TRANSACTIONS on Communications
Joint Generalized Antenna Combination and Symbol Detection Based on Minimum Bit Error Rate: A Particle Swarm Optimization Approach
Summary :
This letter proposes a novel scheme of joint antenna combination and symbol detection in multi-input multi-output (MIMO) systems, which simultaneously determines the antenna combination coefficients to lower the RF chains and designs the minimum bit error rate (MBER) detector to mitigate the interference. The joint decision statistic, however, is highly nonlinear and the particle swarm optimization (PSO) algorithm is employed to reduce the computational overhead. Simulations show that the new approach yields satisfactory performance with reduced computational overhead compared with pervious works.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.9 pp.3009-3012
- Publication Date
- 2008/09/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.9.3009
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Hoang-Yang LU, Wen-Hsien FANG, Kyar-Chan HUANG, "Joint Generalized Antenna Combination and Symbol Detection Based on Minimum Bit Error Rate: A Particle Swarm Optimization Approach" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 9, pp. 3009-3012, September 2008, doi: 10.1093/ietcom/e91-b.9.3009.
Abstract: This letter proposes a novel scheme of joint antenna combination and symbol detection in multi-input multi-output (MIMO) systems, which simultaneously determines the antenna combination coefficients to lower the RF chains and designs the minimum bit error rate (MBER) detector to mitigate the interference. The joint decision statistic, however, is highly nonlinear and the particle swarm optimization (PSO) algorithm is employed to reduce the computational overhead. Simulations show that the new approach yields satisfactory performance with reduced computational overhead compared with pervious works.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.9.3009/_p
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@ARTICLE{e91-b_9_3009,
author={Hoang-Yang LU, Wen-Hsien FANG, Kyar-Chan HUANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint Generalized Antenna Combination and Symbol Detection Based on Minimum Bit Error Rate: A Particle Swarm Optimization Approach},
year={2008},
volume={E91-B},
number={9},
pages={3009-3012},
abstract={This letter proposes a novel scheme of joint antenna combination and symbol detection in multi-input multi-output (MIMO) systems, which simultaneously determines the antenna combination coefficients to lower the RF chains and designs the minimum bit error rate (MBER) detector to mitigate the interference. The joint decision statistic, however, is highly nonlinear and the particle swarm optimization (PSO) algorithm is employed to reduce the computational overhead. Simulations show that the new approach yields satisfactory performance with reduced computational overhead compared with pervious works.},
keywords={},
doi={10.1093/ietcom/e91-b.9.3009},
ISSN={1745-1345},
month={September},}
Copy
TY - JOUR
TI - Joint Generalized Antenna Combination and Symbol Detection Based on Minimum Bit Error Rate: A Particle Swarm Optimization Approach
T2 - IEICE TRANSACTIONS on Communications
SP - 3009
EP - 3012
AU - Hoang-Yang LU
AU - Wen-Hsien FANG
AU - Kyar-Chan HUANG
PY - 2008
DO - 10.1093/ietcom/e91-b.9.3009
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2008
AB - This letter proposes a novel scheme of joint antenna combination and symbol detection in multi-input multi-output (MIMO) systems, which simultaneously determines the antenna combination coefficients to lower the RF chains and designs the minimum bit error rate (MBER) detector to mitigate the interference. The joint decision statistic, however, is highly nonlinear and the particle swarm optimization (PSO) algorithm is employed to reduce the computational overhead. Simulations show that the new approach yields satisfactory performance with reduced computational overhead compared with pervious works.
ER -
English
