In this paper, we investigate a user and antenna joint selection problem in multi-user large-scale MIMO downlink networks, where a BS with N transmit antennas serves K users, and N is much larger than K. The BS activates only S(S≤N) antennas for data transmission to reduce hardware cost and computation complexity, and selects the set of users to which data is to be transmitted by maximizing the sum-rate. The optimal user and antenna joint selection scheme based on exhaustive search causes considerable computation complexity. Thus, we propose a new joint selection algorithm with low complexity and analyze the performance of the proposed scheme in terms of sum-rate and complexity. When S=7, N=10, K=5, and SNR=10dB, the sum-rate of the proposed scheme is 5.1% lower than that of the optimal scheme, while the computation complexity of the proposed scheme is reduced by 99.0% compared to that of the optimal scheme.
Moo-Woong JEONG
Gyeongsang National University
Tae-Won BAN
Gyeongsang National University
Bang Chul JUNG
Chungnam National University
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Moo-Woong JEONG, Tae-Won BAN, Bang Chul JUNG, "User and Antenna Joint Selection in Multi-User Large-Scale MIMO Downlink Networks" in IEICE TRANSACTIONS on Communications,
vol. E100-B, no. 4, pp. 529-535, April 2017, doi: 10.1587/transcom.2016EBP3232.
Abstract: In this paper, we investigate a user and antenna joint selection problem in multi-user large-scale MIMO downlink networks, where a BS with N transmit antennas serves K users, and N is much larger than K. The BS activates only S(S≤N) antennas for data transmission to reduce hardware cost and computation complexity, and selects the set of users to which data is to be transmitted by maximizing the sum-rate. The optimal user and antenna joint selection scheme based on exhaustive search causes considerable computation complexity. Thus, we propose a new joint selection algorithm with low complexity and analyze the performance of the proposed scheme in terms of sum-rate and complexity. When S=7, N=10, K=5, and SNR=10dB, the sum-rate of the proposed scheme is 5.1% lower than that of the optimal scheme, while the computation complexity of the proposed scheme is reduced by 99.0% compared to that of the optimal scheme.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3232/_p
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@ARTICLE{e100-b_4_529,
author={Moo-Woong JEONG, Tae-Won BAN, Bang Chul JUNG, },
journal={IEICE TRANSACTIONS on Communications},
title={User and Antenna Joint Selection in Multi-User Large-Scale MIMO Downlink Networks},
year={2017},
volume={E100-B},
number={4},
pages={529-535},
abstract={In this paper, we investigate a user and antenna joint selection problem in multi-user large-scale MIMO downlink networks, where a BS with N transmit antennas serves K users, and N is much larger than K. The BS activates only S(S≤N) antennas for data transmission to reduce hardware cost and computation complexity, and selects the set of users to which data is to be transmitted by maximizing the sum-rate. The optimal user and antenna joint selection scheme based on exhaustive search causes considerable computation complexity. Thus, we propose a new joint selection algorithm with low complexity and analyze the performance of the proposed scheme in terms of sum-rate and complexity. When S=7, N=10, K=5, and SNR=10dB, the sum-rate of the proposed scheme is 5.1% lower than that of the optimal scheme, while the computation complexity of the proposed scheme is reduced by 99.0% compared to that of the optimal scheme.},
keywords={},
doi={10.1587/transcom.2016EBP3232},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - User and Antenna Joint Selection in Multi-User Large-Scale MIMO Downlink Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 529
EP - 535
AU - Moo-Woong JEONG
AU - Tae-Won BAN
AU - Bang Chul JUNG
PY - 2017
DO - 10.1587/transcom.2016EBP3232
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2017
AB - In this paper, we investigate a user and antenna joint selection problem in multi-user large-scale MIMO downlink networks, where a BS with N transmit antennas serves K users, and N is much larger than K. The BS activates only S(S≤N) antennas for data transmission to reduce hardware cost and computation complexity, and selects the set of users to which data is to be transmitted by maximizing the sum-rate. The optimal user and antenna joint selection scheme based on exhaustive search causes considerable computation complexity. Thus, we propose a new joint selection algorithm with low complexity and analyze the performance of the proposed scheme in terms of sum-rate and complexity. When S=7, N=10, K=5, and SNR=10dB, the sum-rate of the proposed scheme is 5.1% lower than that of the optimal scheme, while the computation complexity of the proposed scheme is reduced by 99.0% compared to that of the optimal scheme.
ER -