The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo considera o uso de um mecanismo de seleção de antena para reduzir o custo de múltiplas cadeias de transmissão/recepção analógicas em sistemas de múltiplas entradas e múltiplas saídas (MIMO). Com o esquema de seleção de antena ideal, as cadeias de radiofrequência podem se conectar de maneira ideal ao melhor subconjunto de antenas transmissoras e/ou receptoras. No entanto, o algoritmo de seleção de antena ideal requer uma busca exaustiva de todas as combinações possíveis para encontrar o subconjunto ideal no transmissor e/ou receptor, resultando assim em alta complexidade. A fim de reduzir a carga computacional e ao mesmo tempo maximizar a capacidade do canal, introduzimos o método de recozimento simulado (SA), um algoritmo eficaz que resolve vários problemas de otimização combinatória, para buscar o subconjunto ideal. Os resultados da simulação mostram que o desempenho do método SA proposto fornece quase a mesma capacidade de canal que o algoritmo de busca exaustiva ideal, mantendo baixa complexidade.
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Jung-Chieh CHEN, "A Low-Complexity Antenna Selection Scheme in MIMO Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 3, pp. 651-655, March 2010, doi: 10.1587/transfun.E93.A.651.
Abstract: This paper considers the use of an antenna selection mechanism to reduce the cost of multiple analog transmit/receive chains in multiple-input multiple-output (MIMO) systems. With the optimal antenna selection scheme, radio-frequency chains can optimally connect with the best subset of transmitter and/or receiver antennas. However, the optimal antenna selection algorithm requires an exhaustive search of all possible combinations to find the optimum subset at the transmitter and/or receiver, thus resulting in high complexity. In order to reduce the computational load while still maximizing channel capacity, we introduce the simulated annealing (SA) method, an effective algorithm that solves various combinatorial optimization problems, to search the optimal subset. The simulation results show that the performance of the proposed SA method provides almost the same channel capacity as that of the optimal exhaustive search algorithm while maintaining low complexity.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.651/_p
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@ARTICLE{e93-a_3_651,
author={Jung-Chieh CHEN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Low-Complexity Antenna Selection Scheme in MIMO Systems},
year={2010},
volume={E93-A},
number={3},
pages={651-655},
abstract={This paper considers the use of an antenna selection mechanism to reduce the cost of multiple analog transmit/receive chains in multiple-input multiple-output (MIMO) systems. With the optimal antenna selection scheme, radio-frequency chains can optimally connect with the best subset of transmitter and/or receiver antennas. However, the optimal antenna selection algorithm requires an exhaustive search of all possible combinations to find the optimum subset at the transmitter and/or receiver, thus resulting in high complexity. In order to reduce the computational load while still maximizing channel capacity, we introduce the simulated annealing (SA) method, an effective algorithm that solves various combinatorial optimization problems, to search the optimal subset. The simulation results show that the performance of the proposed SA method provides almost the same channel capacity as that of the optimal exhaustive search algorithm while maintaining low complexity.},
keywords={},
doi={10.1587/transfun.E93.A.651},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - A Low-Complexity Antenna Selection Scheme in MIMO Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 651
EP - 655
AU - Jung-Chieh CHEN
PY - 2010
DO - 10.1587/transfun.E93.A.651
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2010
AB - This paper considers the use of an antenna selection mechanism to reduce the cost of multiple analog transmit/receive chains in multiple-input multiple-output (MIMO) systems. With the optimal antenna selection scheme, radio-frequency chains can optimally connect with the best subset of transmitter and/or receiver antennas. However, the optimal antenna selection algorithm requires an exhaustive search of all possible combinations to find the optimum subset at the transmitter and/or receiver, thus resulting in high complexity. In order to reduce the computational load while still maximizing channel capacity, we introduce the simulated annealing (SA) method, an effective algorithm that solves various combinatorial optimization problems, to search the optimal subset. The simulation results show that the performance of the proposed SA method provides almost the same channel capacity as that of the optimal exhaustive search algorithm while maintaining low complexity.
ER -