Paper Info
Title
Tabu-Search-Based Pilot Assignment for Cell-Free Massive MIMO Systems
Abstract
In this correspondence, an efficient pilot assignment scheme based on tabu search (TS) is proposed to mitigate the severe pilot contamination effect caused by pilot reuse in cell-free massive multiple-input multiple-output systems. By exploiting the local neighborhood search, we first define the neighborhood and search objective function. Then, the tabu list is introduced to record the prohibited solutions and to avoid being trapped in the local optimum. In addition, we consider a fair policy for the pilot reused times to further improve the system performance. We propose a TS-based pilot assignment iterative algorithm to search the suboptimal pilot assignment result with low complexity. Numerical results verify that the proposed TS-based pilot assignment scheme can significantly improve the 95 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> -likely per-user throughput with similar complexity compared to the conventional random and greedy schemes.
Year
DOI
Venue
2020
10.1109/TVT.2019.2956217
IEEE Transactions on Vehicular Technology
Keywords
DocType
Volume
MIMO communication,Uplink,Contamination,Throughput,Signal to noise ratio,Search problems,Partial transmit sequences
Journal
69
Issue
ISSN
Citations 
2
0018-9545
9
PageRank 
References 
Authors
0.46
0
6
Name
Order
Citations
PageRank
Heng Liu190.46
Jiayi Zhang291174.44
Xiaodan Zhang3258.37
Adit Kurniawan4126.52
Tutun Juhana5121.85
Bo Ai61581185.94