Skip to main content

Transmit antenna selection for multiuser massive mimo

Husbands, Ryan R (2018) Transmit antenna selection for multiuser massive mimo. Doctor of Philosophy (PhD) thesis, University of Kent,. (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

PDF
Restricted to Repository staff only until March 2021.
Contact us about this Publication
[img]

Abstract

In massive multiple input multiple output (MIMO) systems, major challenges are present due to the large number of active antennas and radio frequency (RF) chains,suchasincreasedpowerconsumptionandcomputationcomplexity. Transmitantennaselection(TAS)isbeinginvestigatedasasolutiontotacklethesechallenges. In this thesis, a dynamic transmit antenna selection technique is proposed whichcanmaximizethesumrateofamultiuser(MU)-MIMOcommunicationsystem. In order to satisfy the objective, the number of transmit antennas required is determined by remodeling it as a binary Knapsack Problem (KP) and then extending to a Multiple KP (MKP) for MU-MIMO. Furthermore, an improvement in the decision making is also proposed with the introduction of a ?exible decision criteria, whilst reducing the structure of the MKP to resemble that of a single binary KP. Additionally, comparisons of the KP based algorithms are done with two low complexity techniques, which are the sequential selection algorithm and random selection algorithm. Results show that the KP based techniques outperform these low complexity techniques. The modi?ed binary KP algorithm is also superior to that of the MKP, as it is not sensitive to solving as binary knapsack sub-problems. The proposed technique has good performance for di?erent antenna selection measures and is suitable to ensure communication e?ciency in future wireless communication systems.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Wang, Jiangzhou
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
SWORD Depositor: System Moodle
Depositing User: System Moodle
Date Deposited: 09 Oct 2018 13:24 UTC
Last Modified: 12 Feb 2020 04:10 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/69467 (The current URI for this page, for reference purposes)
  • Depositors only (login required):

Downloads

Downloads per month over past year