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Adaptive MMSE multiuser receivers in MIMO OFDM wireless communication

Adaptive MMSE multiuser receivers in MIMO OFDM wireless communication

Eneh, T., Rapajic, P. and Anang, K. (2011) Adaptive MMSE multiuser receivers in MIMO OFDM wireless communication. In: Communication Technology (ICCT), 2010 12th IEEE International Conference on. Institute of Electrical and Electronics Engineers, Piscataway, NJ, USA, pp. 934-937. ISBN 978-1-4244-6868-3 (doi:10.1109/ICCT.2010.5688544)

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Abstract

This paper presents a novel adaptive multiuser detection scheme for MIMO OFDM, which we refer to as AMUD MIMO OFDM. It combines the adaptive minimum mean square error multiuser detection scheme with prior information of the channel and interference cancelation in the spatial domain. Simulation results show that joint channel parameters estimation has good performance compared to individual parameter estimation. The developed algorithm sum rate capacity is close to MIMO theoretical upper bound (21.5 bits/s/Hz at an SNR of 20dB) which indicates its applicability to the uplink channel, where power ransmission at the mobile station is a constraint. The
BER performance shows that an 8 x 8 AMUD MIMO OFDM
provides a 2dB SNR gain as compared to non adaptive MIMO
OFDM.

Item Type: Conference Proceedings
Title of Proceedings: Communication Technology (ICCT), 2010 12th IEEE International Conference on
Additional Information: [1] Paper presented at the 12th IEEE International Conference on Communication Technology (ICCT 2010), held 11-14 November 2010, in Nanjing, China. [2] INSPEC Accession Number: 11761181.
Uncontrolled Keywords: MMSE, MUD, MIMO OFDM, adaptive systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Mobile & Wireless Communications Research Laboratory
Related URLs:
Last Modified: 14 Oct 2016 09:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5666

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