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Adaptive vector precoding for multiuser MIMO OFDM

Adaptive vector precoding for multiuser MIMO OFDM

Eneh, Titus, Oletu, Grace O., Anang, Kwashie A., Rapajic, Predrag and Eze, J.U. (2011) Adaptive vector precoding for multiuser MIMO OFDM. In: International Conference on ICT for Africa 2011 (ICT4Africa 2011), 23-26 March 2011, Covenant University, Otta, Nigeria. (Submitted)

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Abstract

This paper presents an adaptive vector precoding schemes for the downlink multiuser multiple input multiple-output orthogonal frequency division multiplexing systems (MIMO OFDM) with multiple data streams per user. The zf precoder requires pseudo inversion of the channel matrix, where this operation is only optimum when the transmitter power is unconstrained. This paper presents efficient methods to reduce the computational load of the algorithm by interpolating the precoding and decoding matrices corresponding to different OFDM subcarriers. In the feedback scenario, the precoder matrix has to be designed for all subcarriers and can get positively large. The precoded MIMO OFDM systems will adapt to change in channel characteristics due to the automatic updating. This approach yields an improvement to the bit error rate probability by approximately an order of magnitude as compared to the ZF approach, utilizing other channel decomposition techniques. In comparison to Moore-Penrose pseudo inverse an increase in the capacity of the MIMO OFDM, with less computational complexity is achieved.

Item Type: Conference or Conference Paper (Paper)
Additional Information: Paper presented at the International Conference on ICT for Africa 2011 (ICT4Africa 2011) held in Otta, Nigeria from 23-26 March 2011.
Uncontrolled Keywords: multiple-output orthogonal frequency division multiplexing systems, MIMO OFDM, adaptive filter, precoding and zeroforcing,
Subjects: 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/5673

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