Paper Info
Title
User Grouping and Pilot Allocation for Spatially Correlated Massive MIMO Systems.
Abstract
This paper proposes a novel approach to deal with pilot contamination for spatially correlated massive multiple-input multiple-output (MIMO) systems with insufficient pilots. Specifically, a typical multi-cell multi-terminal time division duplex massive MIMO system is modeled first. To maximize the average achievable system capacity, a user grouping method which progressively merges the individual terminals with the largest angle of arrival similarity is proposed to mitigate the intra-cell interference. Furthermore, in order to alleviate the inter-cell interference, a pilot allocation method is proposed, including two algorithms, i.e., group matching algorithm and graph coloring-based pilot allocation algorithm. Compared with the existing pilot allocation schemes, the simulation results validate that the proposed approach can effectively improve the complexity-performance trade-off with a finite number of the base station antennas.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2867725
IEEE ACCESS
Keywords
Field
DocType
Multi-cell TDD massive MIMO,spatial correlation,user grouping,pilot allocation
Resource management,Finite set,Computer science,Angle of arrival,MIMO,Interference (wave propagation),Blossom algorithm,Telecommunications link,Distributed computing,Graph coloring
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Pengxiang Li100.34
Yuehong Gao27915.28
Zhidu Li3128.01
Dacheng Yang4813134.20