Research Article
Estimation Algorithm for Large MIMO System
@INPROCEEDINGS{10.1007/978-3-319-92213-3_15, author={Carmen Voicu and Mădălina Berceanu and Simona Halunga}, title={Estimation Algorithm for Large MIMO System}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. Third International Conference, FABULOUS 2017, Bucharest, Romania, October 12-14, 2017, Proceedings}, proceedings_a={FABULOUS}, year={2018}, month={7}, keywords={Large MIMO Convex optimization POCS algorithm Multiuser MIMO Rice fading}, doi={10.1007/978-3-319-92213-3_15} }- Carmen Voicu
Mădălina Berceanu
Simona Halunga
Year: 2018
Estimation Algorithm for Large MIMO System
FABULOUS
Springer
DOI: 10.1007/978-3-319-92213-3_15
Abstract
In multiuser Large MIMO communication systems, signal recovery is a relevant factor for ensuring a safe and reliable communication, especially when the users are intercorrelated. Solutions for interference minimization include analysis regarding source coding/decoding techniques, channel coding/decoding methods and multiuser detection algorithms. This paper illustrates the performance improvement brought by convex optimization technique in Large MIMO systems when the channel is affected by AWGN and Rice fading. The performance is evaluated for different sets of spreading sequences (Walsh-Hadamard and PN) and based on the simulation results several conclusions are highlighted and further improvement will be proposed for fading effects reduction and interference minimization.