Title
Bit-Level Reduced Neighborhood Search for Low-Complexity Detection in Large MIMO Systems.
Abstract
Neighborhood search algorithms (NSAs) reduce the detection complexity in a multiple-input multiple-output (MIMO) system equipped with a large number of antennas. These algorithms iteratively search for the optimal maximal likelihood (ML) vector in a chosen neighborhood and therefore, their performance depends on the probability that the desired solution vector belongs to the neighborhood. An effic...
Year
DOI
Venue
2018
10.1109/LWC.2017.2761349
IEEE Wireless Communications Letters
Keywords
Field
DocType
MIMO,Detectors,Complexity theory,Measurement,Lead,Antennas,Bit error rate
Mimo systems,Mathematical optimization,Polynomial,Minimum mean square error,MIMO,Neighborhood search,Detector,Mathematics,Tabu search,Bit error rate
Journal
Volume
Issue
ISSN
7
2
2162-2337
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Pushpender Mann100.34
abhay kumar sah2204.84
Rohit Budhiraja33221.17
Ajit Kumar Chaturvedi46311.37