Adaptive Precoded MIMO for LTE Wireless Communication

Long-Term Evolution (LTE) and Long Term Evolution-Advanced (ATE-A) have provided a major step forward in mobile communication capability. The objectives to be achieved are high peak data rates in high spectrum bandwidth and high spectral efficiencies. Technically, pre-coding means that multiple data...

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Main Authors: Ahmad Fuad, N., Tiong, Tiong Teck Chai
Format: Journal Article
Published: IOP Publishing Ltd 2015
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/45642
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author Ahmad Fuad, N.
Tiong, Tiong Teck Chai
author_facet Ahmad Fuad, N.
Tiong, Tiong Teck Chai
author_sort Ahmad Fuad, N.
building Curtin Institutional Repository
collection Online Access
description Long-Term Evolution (LTE) and Long Term Evolution-Advanced (ATE-A) have provided a major step forward in mobile communication capability. The objectives to be achieved are high peak data rates in high spectrum bandwidth and high spectral efficiencies. Technically, pre-coding means that multiple data streams are emitted from the transmit antenna with independent and appropriate weightings such that the link throughput is maximized at the receiver output thus increasing or equalizing the received signal to interference and noise (SINR) across the multiple receiver terminals. However, it is not reliable enough to fully utilize the information transfer rate to fit the condition of channel according to the bandwidth size. Thus, adaptive pre-coding is proposed. It applies pre-coding matrix indicator (PMI) channel state making it possible to change the pre-coding codebook accordingly thus improving the data rate higher than fixed pre-coding.
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publishDate 2015
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spelling curtin-20.500.11937-456422017-09-13T14:23:35Z Adaptive Precoded MIMO for LTE Wireless Communication Ahmad Fuad, N. Tiong, Tiong Teck Chai Rank Estimation Precoder Matrix Index Adaptive MIMO Adaptive Precoding Long-Term Evolution (LTE) and Long Term Evolution-Advanced (ATE-A) have provided a major step forward in mobile communication capability. The objectives to be achieved are high peak data rates in high spectrum bandwidth and high spectral efficiencies. Technically, pre-coding means that multiple data streams are emitted from the transmit antenna with independent and appropriate weightings such that the link throughput is maximized at the receiver output thus increasing or equalizing the received signal to interference and noise (SINR) across the multiple receiver terminals. However, it is not reliable enough to fully utilize the information transfer rate to fit the condition of channel according to the bandwidth size. Thus, adaptive pre-coding is proposed. It applies pre-coding matrix indicator (PMI) channel state making it possible to change the pre-coding codebook accordingly thus improving the data rate higher than fixed pre-coding. 2015 Journal Article http://hdl.handle.net/20.500.11937/45642 10.1088/1757-899X/78/1/012015 IOP Publishing Ltd unknown
spellingShingle Rank Estimation
Precoder Matrix Index
Adaptive MIMO
Adaptive Precoding
Ahmad Fuad, N.
Tiong, Tiong Teck Chai
Adaptive Precoded MIMO for LTE Wireless Communication
title Adaptive Precoded MIMO for LTE Wireless Communication
title_full Adaptive Precoded MIMO for LTE Wireless Communication
title_fullStr Adaptive Precoded MIMO for LTE Wireless Communication
title_full_unstemmed Adaptive Precoded MIMO for LTE Wireless Communication
title_short Adaptive Precoded MIMO for LTE Wireless Communication
title_sort adaptive precoded mimo for lte wireless communication
topic Rank Estimation
Precoder Matrix Index
Adaptive MIMO
Adaptive Precoding
url http://hdl.handle.net/20.500.11937/45642