access icon free Efficient complex radial basis function model for multiuser detection in a space division multiple access/multiple-input multiple-output–orthogonal frequency division multiplexing system

© The Institution of Engineering and Technology
Received 11/11/2012, Accepted 31/05/2013, Revised 21/04/2013, Published

An adaptive multiuser detection (MUD) technique using the complex radial basis function (CRBF) network is proposed for space division multiple access–orthogonal frequency division multiplexing (SDMA–OFDM) system. Among various MUDs, the linear minimum mean-square error (MMSE) MUD suffers from poor performance and the maximum likelihood (ML) detector is restricted by high computational complexity. Hence, the cost function minimisation-based detector like minimum symbol error rate (MSER) is preferred because of significant performance gain over MMSE MUD and complexity gain over ML detector. Moreover, the MSER detector also has a potential of surviving in overload scenario, where the number of users are more than that of the number of receiving antennas. However, in all these techniques, the requirement of channel estimation adds an extra complexity whereas, the proposed CRBF detector approximates the channel parameters in training phase and detects signals in testing phase. It also has low complexity, better performance compared with MSER MUD and also supports overload scenario. Each neuron in the proposed CRBF network is assembled with ‘sech’ activation function, as this function can do better complex non-linear mapping than Gaussian activation. The simulation study and performance evaluation of CRBF MUD is investigated, considering both data and image transmission.

Inspec keywords: mean square error methods; maximum likelihood estimation; space division multiple access; radial basis function networks; wireless channels; computational complexity; channel estimation; Gaussian processes; MIMO communication; telecommunication computing

Other keywords: MMSE; CRBF network; maximum likelihood detector; data transmission; space division multiple access-multiple-input multiple-output-orthogonal frequency division multiplexing system; testing phase; channel estimation; computational complexity; efficient complex radial basis function model; linear minimum mean-square error; minimum symbol error rate; SDMA-OFDM system; MUD technique; image transmission; minimisation based detector; Gaussian activation; ML detector; training phase; adaptive multiuser detection; complex nonlinear mapping; channel parameters; receiving antennas; complex radial basis function; MSER; signal detection

Subjects: Other topics in statistics; Communication channel equalisation and identification; Neural computing techniques; Multiple access communication; Interpolation and function approximation (numerical analysis); Communications computing; Computational complexity; Radio links and equipment; Interpolation and function approximation (numerical analysis); Other topics in statistics

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