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General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
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Scopus
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E-mail questions
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Acceptance Rate:
27%
APC:
400 USD
Average Days to Accept:
121 days
Journal Metrics
2.5
2022
CiteScore
41st percentile
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Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
What's New
2024-04-17
Volume 19, No. 3 has been indexed by Scopus.
2024-04-17
Volume 19, No. 2 has been indexed by Scopus.
2024-04-17
Vol. 19, No. 4 has been published online!
Home
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2018
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Volume 13, No. 4, April 2018
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A Novel Pilot Decontamination Method for Massive MIMO Systems Using Social Spider Optimization Algorithm
Ali Mundeth Ahmed
1
and Erakkath Abdu Jasmin
2
1. Department of Computer Applications, Government Engineering College, Thrissur, Kerala, India
2. Department of Electrical and Electronics, Government Engineering College, Thrissur, Kerala, India
Abstract—The promising capacity and data rate brought by massive MIMO communication systems lead to consider it as a very prominent fifth generation mobile technology. Pilot contamination is identified as the most significant impairment that limits the exploitation of its optimum capacity. It is caused by the re-use of the same, or at least non-orthogonal pilot sequences, among different cells that degrade the performance of channel estimation. In order to mitigate this issue, we propose a partial re-use of pilot sequences among users in the adjacent cells, which are close to the base station (BS) and also possesses minimum movement velocity. A novel multi factor social spider optimization algorithm (MSSOA), which imitates the cooperative behavior of social spiders, is used for selecting the eligible users for this pilot reuse in the neighboring cells. The algorithm tries to maximize the lowest SINR value for every user in the cell. The performance of the proposed method is evaluated through simulations and it is confirmed that the proposed method gives a better bit error rate (BER), sum-rate, and normalized mean square error (NMSE), over the conventional pilot assignment schemes.
Index Terms
—Massive MIMO, Pilot decontamination, cellular networks, channel state information, social spider optimization algorithm
Cite: Ali Mundeth Ahmed and Erakkath Abdu Jasmin, "A Novel Pilot Decontamination Method for Massive MIMO Systems Using Social Spider Optimization Algorithm," Journal of Communications, vol. 13, no. 4, pp. 145-154, 2018. Doi: 10.12720/jcm.13.4.145-154.
1-JCM170052
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