Low-complexity channel selection and iterative detection for overloaded uplink multiuser MIMO OFDM system

Min Chen, Alister G. Burr

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


In this paper, a new iterative interference cancellation multiuser detection (MUD) method is proposed for overloaded multiple-input multiple-output (MIMO) coded orthogonal frequency division multiplexing (OFDM) systems. In the first iteration, a channel analyzer and selector are employed, which ensure that non-convergent channels are not used. Then low complexity RAKE reception is applied, and a successive interference cancellation (SIC)-based approach is used such that the strongest user is decoded first. In each iteration, the soft output of the convolutional decoder is fed back to cancel inter-user interference using parallel interference cancellation (PIC). The simulation results show that, this technique can achieve near-optimum bit error rate (BER) performance, and optimum frame error rate (FER) performance, with lower complexity than optimum maximum likelihood (ML) methods at the cost of 4% of channels rejected.

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference
Number of pages5
Publication statusPublished - 1 Dec 2013
Event2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Dresden, United Kingdom
Duration: 2 Jun 20135 Jun 2013


Conference2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013
Country/TerritoryUnited Kingdom


  • MIMO
  • MUD
  • OFDM
  • PIC
  • RAKE

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