Title :
Differential Interference Suppression for SDMA-OFDM Based on Joint Multiple-Symbol Filtering and Detection
Author :
Wang, Li ; Hanzo, Lajos
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
Abstract :
This paper presents a multiple-symbol differential spatial division multiple-access (MS-DSDMA) orthogonal frequency-division multiplexing (OFDM) system conceived for low-complexity and high-bandwidth-efficiency applications operating in time-varying fading channels, where no channel estimation is required. A low-complexity adaptive multiple-symbol differential interference suppression (MS-DIS) scheme is proposed, which is based on the maximum signal-to-interference-plus-noise ratio (MSINR) criterion and facilitates the implementation of the powerful multiple-symbol differential sphere detection (MSDSD). Then, a practical three-stage turbo DIS receiver design framework is proposed for the MS-DSDMA system, which is constituted by concatenating the adaptive DIS filter bank, the MSDSD, and the channel decoder. Both the EXtrinsic Information Transfer (EXIT) chart analysis and the Monte-Carlo-based simulation results show that the proposed three-stage turbo DIS scheme is capable of achieving a substantially enhanced performance in comparison with the conventional linear minimum mean-squared error (LMMSE)-based adaptive receiver. Furthermore, two complexity reduction techniques are devised to significantly reduce the iterative detection complexity.
Keywords :
Monte Carlo methods; OFDM modulation; channel bank filters; channel coding; channel estimation; communication complexity; fading channels; interference suppression; iterative decoding; least mean squares methods; radio receivers; space division multiple access; time-varying channels; time-varying filters; DIS filter bank; DIS receiver design; LMMSE; MS-DSDMA system; MSDSD; Monte-Carlo-based simulation; SDMA-OFDM; bandwidth efficiency application; channel estimation; complexity reduction technique; extrinsic information transfer chart analysis; iterative detection complexity; linear minimum mean squared error-based adaptive receiver; low complexity adaptive multiple symbol differential interference suppression; maximum signal-to-interference-plus-noise ratio; multiple symbol differential spatial division multiple access; multiple symbol differential sphere detection; multiple symbol filtering; orthogonal frequency division multiplexing system; time varying fading channel decoder; turbo DIS scheme; Channel estimation; Complexity theory; Decoding; Interference suppression; OFDM; Receivers; Adaptive filtering; MIMO; SDMA-OFDM; differential modulation; interference suppression; multiple-symbol differential detection; sphere decoding;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2011.2171201