NDLI: Optimal number of user antennas in a constrained pilot-length massive MIMO system

Content Provider	IET Digital Library
Author	Alwakeel, Ahmed S. Mehana, Ahmed Hesham
Abstract	In this study, the authors analyse the performance of a massive multiple-input multiple-output network with N-antenna users. Equipping the user terminal (UT) with a multiple of antennas is usually challenging since it increases the overhead of the channel estimation process (linearly with N). In this study, the authors use semi-blind (data-aided) channel estimation that significantly reduces the pilot overhead and analytically obtains the optimal number of antennas that can be mounted at the UT. The proposed channel estimation algorithm is especially useful in cases where a UT can be assigned a single, or generally a few numbers of, pilot sequence(s) although it might have a number of antennas greater than the number of sequences (as the case of 5G proposed solutions); therefore the network does not have to assign more pilots to the user in order to estimate the additional antennas. The authors also characterise the user outage performance when a part of its data is used for the blind channel estimation.
Starting Page	2840
Ending Page	2847
Page Count	8
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 17, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.6248
Journal	IET Communications
Publisher Date	2019-08-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	5G Network Antenna Array Antenna User Terminal Channel Estimation Communication Channel Equalisation And Identification Constrained Pilot-length Massive MIMO System Data-aided Channel Estimation Algorithm Massive Multiple-input Multiple-output Network MIMO Communication Pilot Overhead Radio Link And Equipment Semiblind Channel Estimation Algorithm User Outage Performance UT Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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