Adaptive Pilot Allocation Algorithm for Pilot Contamination Mitigation in TDD Massive MIMO Systems

Makram Hashim Mahmood Alkhaled; Emad Alsusa; Khairi Hamdi

doi:10.1109/WCNC.2017.7925885

Adaptive Pilot Allocation Algorithm for Pilot Contamination Mitigation in TDD Massive MIMO Systems

Makram Hashim Mahmood Alkhaled, Emad Alsusa, Khairi Hamdi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

The pilot contamination problem is one of the major obstacles that limit the performance of time-division duplex (TDD) multicell massive multiple-input multiple-output (MIMO) systems. Pilot contamination results from the re-use of the same set of pilot sequences in the different cells of the system. In this
paper, we propose an Adaptive Pilot Allocation (APA) algorithm for pilot contamination mitigation. The proposed algorithm divides the users in the system into two groups according to the inter-cell interference they cause to the other users in the system. To improve the system performance, the algorithm allocates orthogonal pilot sequences to the users that can cause high inter-cell
interference. Simulation results show that the proposed algorithm outperforms the conventional (random) allocation method. Also it show that the proposed algorithm improves both the minimum and the mean achievable rates.

Index Terms—inter-cell interference, LSAS, massive MIMO,
multicell MIMO, pilot contamination, pilot allocation.

Original language	English
Title of host publication	2017 IEEE Wireless Communications and Networking Conference
Publisher	IEEE
DOIs	https://doi.org/10.1109/WCNC.2017.7925885
Publication status	Published - 2017
Event	2017 IEEE Wireless Communications and Networking Conference - San Francisco, United States Duration: 19 Mar 2017 → 22 Mar 2017 http://wcnc2017.ieee-wcnc.org/

Conference

Conference	2017 IEEE Wireless Communications and Networking Conference
Abbreviated title	IEEE WCNC 2017
Country/Territory	United States
City	San Francisco
Period	19/03/17 → 22/03/17
Internet address	http://wcnc2017.ieee-wcnc.org/

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10.1109/WCNC.2017.7925885

1570318366Accepted author manuscript, 231 KB

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@inproceedings{c01a02fa1e0d40ebb2cb5de54e226ca0,

title = "Adaptive Pilot Allocation Algorithm for Pilot Contamination Mitigation in TDD Massive MIMO Systems",

abstract = "The pilot contamination problem is one of the major obstacles that limit the performance of time-division duplex (TDD) multicell massive multiple-input multiple-output (MIMO) systems. Pilot contamination results from the re-use of the same set of pilot sequences in the different cells of the system. In thispaper, we propose an Adaptive Pilot Allocation (APA) algorithm for pilot contamination mitigation. The proposed algorithm divides the users in the system into two groups according to the inter-cell interference they cause to the other users in the system. To improve the system performance, the algorithm allocates orthogonal pilot sequences to the users that can cause high inter-cellinterference. Simulation results show that the proposed algorithm outperforms the conventional (random) allocation method. Also it show that the proposed algorithm improves both the minimum and the mean achievable rates.Index Terms—inter-cell interference, LSAS, massive MIMO,multicell MIMO, pilot contamination, pilot allocation.",

author = "Alkhaled, {Makram Hashim Mahmood} and Emad Alsusa and Khairi Hamdi",

year = "2017",

doi = "10.1109/WCNC.2017.7925885",

language = "English",

booktitle = "2017 IEEE Wireless Communications and Networking Conference",

publisher = "IEEE",

address = "United States",

note = "2017 IEEE Wireless Communications and Networking Conference, IEEE WCNC 2017 ; Conference date: 19-03-2017 Through 22-03-2017",

url = "http://wcnc2017.ieee-wcnc.org/",

}

TY - GEN

T1 - Adaptive Pilot Allocation Algorithm for Pilot Contamination Mitigation in TDD Massive MIMO Systems

AU - Alkhaled, Makram Hashim Mahmood

AU - Alsusa, Emad

AU - Hamdi, Khairi

PY - 2017

Y1 - 2017

N2 - The pilot contamination problem is one of the major obstacles that limit the performance of time-division duplex (TDD) multicell massive multiple-input multiple-output (MIMO) systems. Pilot contamination results from the re-use of the same set of pilot sequences in the different cells of the system. In thispaper, we propose an Adaptive Pilot Allocation (APA) algorithm for pilot contamination mitigation. The proposed algorithm divides the users in the system into two groups according to the inter-cell interference they cause to the other users in the system. To improve the system performance, the algorithm allocates orthogonal pilot sequences to the users that can cause high inter-cellinterference. Simulation results show that the proposed algorithm outperforms the conventional (random) allocation method. Also it show that the proposed algorithm improves both the minimum and the mean achievable rates.Index Terms—inter-cell interference, LSAS, massive MIMO,multicell MIMO, pilot contamination, pilot allocation.

AB - The pilot contamination problem is one of the major obstacles that limit the performance of time-division duplex (TDD) multicell massive multiple-input multiple-output (MIMO) systems. Pilot contamination results from the re-use of the same set of pilot sequences in the different cells of the system. In thispaper, we propose an Adaptive Pilot Allocation (APA) algorithm for pilot contamination mitigation. The proposed algorithm divides the users in the system into two groups according to the inter-cell interference they cause to the other users in the system. To improve the system performance, the algorithm allocates orthogonal pilot sequences to the users that can cause high inter-cellinterference. Simulation results show that the proposed algorithm outperforms the conventional (random) allocation method. Also it show that the proposed algorithm improves both the minimum and the mean achievable rates.Index Terms—inter-cell interference, LSAS, massive MIMO,multicell MIMO, pilot contamination, pilot allocation.

U2 - 10.1109/WCNC.2017.7925885

DO - 10.1109/WCNC.2017.7925885

M3 - Conference contribution

BT - 2017 IEEE Wireless Communications and Networking Conference

PB - IEEE

T2 - 2017 IEEE Wireless Communications and Networking Conference

Y2 - 19 March 2017 through 22 March 2017

ER -

Adaptive Pilot Allocation Algorithm for Pilot Contamination Mitigation in TDD Massive MIMO Systems

Abstract

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