Performance of an E-SDM/FDD system using an iterative weight optimization and control algorithm

Yusuke Oki, Osamu Muta, Hiroshi Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper investigates an iterative algorithm to control weighting coefficients of transmit/receive spatial filters in a frequency-division duplex (FDD) based eigen-mode space division multiplexing (E-SDM/FDD) system. In this system, weighting matrices of transmit/receive spatial filters are optimized using an iterative algorithm that minimizes the mean square error (MSE) of the virtual received signal, where the receiver feeds back relative channel characteristic information of the forward-link to the transmitter. This paper also presents an alternative feedback control method for optimizing the weighting coefficients of the transmit spatial filter in presence of feedback bit errors; the receiver determines the weighting coefficients at the transmitter and sends back relative information of them to the transmitter. This method will be able to mitigate the performance degradation caused by the feedback bit error. Simulation results of bit error rate (BER) performance proves the effectiveness of the proposed algorithm in the E-SDM/FDD 4 × 2 MIMO systems.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages595-599
Number of pages5
ISBN (Electronic)9781479958320
DOIs
Publication statusPublished - Jan 27 2014
Event2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014 - Macau, China
Duration: Nov 19 2014Nov 21 2014

Publication series

Name2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014

Other

Other2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
Country/TerritoryChina
CityMacau
Period11/19/1411/21/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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