Pre-coding techniques for optimum spectral efficiency in massive MIMO system

Massive MIMO is used in a new generation wireless technology and a method to improve the spectral efficiency (SE) of communications systems. Nowadays, because of the users and applications that are always increasing day by day the improvement of wireless technology shall be in line according to dema...

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Published in:2016 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2016
Main Author: Hashim M.F.; Razak N.I.A.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020245537&doi=10.1109%2fAPACE.2016.7916470&partnerID=40&md5=e0daaf27195638de2eb0416242e7cb40
id 2-s2.0-85020245537
spelling 2-s2.0-85020245537
Hashim M.F.; Razak N.I.A.
Pre-coding techniques for optimum spectral efficiency in massive MIMO system
2016
2016 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2016


10.1109/APACE.2016.7916470
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020245537&doi=10.1109%2fAPACE.2016.7916470&partnerID=40&md5=e0daaf27195638de2eb0416242e7cb40
Massive MIMO is used in a new generation wireless technology and a method to improve the spectral efficiency (SE) of communications systems. Nowadays, because of the users and applications that are always increasing day by day the improvement of wireless technology shall be in line according to demand. In this paper, pre-coding technique used to optimize spectral efficiency and the number of user as a function of the number of antenna with different interference conditions are investigated. From the simulations, SE per cell for pre-coding technique and corresponding number of scheduled users can be seen. As the number of antenna at base station (BS) increases, the SE will also increase. The number of scheduled users depends on the inter-cell interference condition strongly. © 2016 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Hashim M.F.; Razak N.I.A.
spellingShingle Hashim M.F.; Razak N.I.A.
Pre-coding techniques for optimum spectral efficiency in massive MIMO system
author_facet Hashim M.F.; Razak N.I.A.
author_sort Hashim M.F.; Razak N.I.A.
title Pre-coding techniques for optimum spectral efficiency in massive MIMO system
title_short Pre-coding techniques for optimum spectral efficiency in massive MIMO system
title_full Pre-coding techniques for optimum spectral efficiency in massive MIMO system
title_fullStr Pre-coding techniques for optimum spectral efficiency in massive MIMO system
title_full_unstemmed Pre-coding techniques for optimum spectral efficiency in massive MIMO system
title_sort Pre-coding techniques for optimum spectral efficiency in massive MIMO system
publishDate 2016
container_title 2016 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2016
container_volume
container_issue
doi_str_mv 10.1109/APACE.2016.7916470
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020245537&doi=10.1109%2fAPACE.2016.7916470&partnerID=40&md5=e0daaf27195638de2eb0416242e7cb40
description Massive MIMO is used in a new generation wireless technology and a method to improve the spectral efficiency (SE) of communications systems. Nowadays, because of the users and applications that are always increasing day by day the improvement of wireless technology shall be in line according to demand. In this paper, pre-coding technique used to optimize spectral efficiency and the number of user as a function of the number of antenna with different interference conditions are investigated. From the simulations, SE per cell for pre-coding technique and corresponding number of scheduled users can be seen. As the number of antenna at base station (BS) increases, the SE will also increase. The number of scheduled users depends on the inter-cell interference condition strongly. © 2016 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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