On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
BER of OFDM in Rayleigh fading environments with selective diversity
Wireless Communications & Mobile Computing
Chunk-based resource allocation in OFDMA systems: part I: chunk allocation
IEEE Transactions on Communications
Design of a 20-Mb/s 256-state viterbi decoder
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Performance analysis and design optimization of LDPC-coded MIMO OFDM systems
IEEE Transactions on Signal Processing
Iterative Signal Processing for Coded LSTF Architectures
IEEE Transactions on Wireless Communications
Design of capacity-approaching irregular low-density parity-check codes
IEEE Transactions on Information Theory
Performance of wideband CDMA systems with complex spreading and imperfect channel estimation
IEEE Journal on Selected Areas in Communications
Turbo-BLAST: performance evaluation in correlated Rayleigh-fading environment
IEEE Journal on Selected Areas in Communications
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This paper is focused on the study of layered space-time-frequency (LSTF) architectures with channel coding for orthogonal frequency division multiplexing (OFDM) multiple-input multiple-output (MIMO) multiplexing systems for high speed wireless communications over a frequency-selective fading channel. In order to achieve the available spatial, temporal and frequency diversities, and also make the system implementation feasible for high speed OFDM MIMO multiplexing, a novel LSTF architecture with multiple channel encoders is proposed with each independently coded layer being threaded in the three-dimensional space-time-frequency transmission resource array. Non-iterative receiver is adopted which consists of list sphere detector and irregular low-density parity-check codes as the constituent codes. Simulation results show that the performance of the proposed multiple-encoder LSTF architecture is very close to that of the conventional single-encoder LSTF where coding is applied across the whole information stream. However, due to the use of multiple parallel encoders/decoders with a shorter codeword length, the proposed LSTF architecture has much lower hardware processing speed and complexity than the conventional LSTF.