In this paper, we study the spectral efficiency of the uplink multi-user large-scale distributed antenna systems (DAS) with imperfect channel state information. We propose the system model of multi-user DAS and illustrate the necessity of pilot reuse. Then, we derive the sum-rate of the system under pilot contamination. Furthermore, we investigate the asymptotical performance when the number of antennas goes to infinity. To reduce the pilot contamination, we present two novel pilot assignment algorithms to improve the spectral efficiency. Finally, we evaluate our proposed strategies through extensive simulations which show that compared with random pilot reuse, the min-max algorithm shows impressive performance with low complexity.
Dongming WANG
Southeast University
Heping GU
Southeast University
Hao WEI
Southeast University
Xiaoxia DUAN
Southeast University
Chunguo LI
Southeast University
Xiaohu YOU
Southeast University
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Dongming WANG, Heping GU, Hao WEI, Xiaoxia DUAN, Chunguo LI, Xiaohu YOU, "Design of Pilot Assignment for Large-Scale Distributed Antenna Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 9, pp. 1674-1682, September 2016, doi: 10.1587/transfun.E99.A.1674.
Abstract: In this paper, we study the spectral efficiency of the uplink multi-user large-scale distributed antenna systems (DAS) with imperfect channel state information. We propose the system model of multi-user DAS and illustrate the necessity of pilot reuse. Then, we derive the sum-rate of the system under pilot contamination. Furthermore, we investigate the asymptotical performance when the number of antennas goes to infinity. To reduce the pilot contamination, we present two novel pilot assignment algorithms to improve the spectral efficiency. Finally, we evaluate our proposed strategies through extensive simulations which show that compared with random pilot reuse, the min-max algorithm shows impressive performance with low complexity.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.1674/_p
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@ARTICLE{e99-a_9_1674,
author={Dongming WANG, Heping GU, Hao WEI, Xiaoxia DUAN, Chunguo LI, Xiaohu YOU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Design of Pilot Assignment for Large-Scale Distributed Antenna Systems},
year={2016},
volume={E99-A},
number={9},
pages={1674-1682},
abstract={In this paper, we study the spectral efficiency of the uplink multi-user large-scale distributed antenna systems (DAS) with imperfect channel state information. We propose the system model of multi-user DAS and illustrate the necessity of pilot reuse. Then, we derive the sum-rate of the system under pilot contamination. Furthermore, we investigate the asymptotical performance when the number of antennas goes to infinity. To reduce the pilot contamination, we present two novel pilot assignment algorithms to improve the spectral efficiency. Finally, we evaluate our proposed strategies through extensive simulations which show that compared with random pilot reuse, the min-max algorithm shows impressive performance with low complexity.},
keywords={},
doi={10.1587/transfun.E99.A.1674},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - Design of Pilot Assignment for Large-Scale Distributed Antenna Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1674
EP - 1682
AU - Dongming WANG
AU - Heping GU
AU - Hao WEI
AU - Xiaoxia DUAN
AU - Chunguo LI
AU - Xiaohu YOU
PY - 2016
DO - 10.1587/transfun.E99.A.1674
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2016
AB - In this paper, we study the spectral efficiency of the uplink multi-user large-scale distributed antenna systems (DAS) with imperfect channel state information. We propose the system model of multi-user DAS and illustrate the necessity of pilot reuse. Then, we derive the sum-rate of the system under pilot contamination. Furthermore, we investigate the asymptotical performance when the number of antennas goes to infinity. To reduce the pilot contamination, we present two novel pilot assignment algorithms to improve the spectral efficiency. Finally, we evaluate our proposed strategies through extensive simulations which show that compared with random pilot reuse, the min-max algorithm shows impressive performance with low complexity.
ER -