Probabilistically bounded soft sphere detection for MIMO-OFDM receivers: algorithm and system architecture

• Published in: IEEE journal on selected areas in communications 2009-10, Vol.27 (8), p.1318-1330
• Main Authors: Radosavljevic, P., Yuanbin Guo, Cavallaro, J.
• Format: Article
• Language: English
• Subjects: Algorithms; Antennas; Architecture; ASIC synthesis; Channels; Delay; Detectors; Downlink; FPGA prototype; Gbps data throughput; Hardware; hardware implementation; Iterative algorithms; Iterative decoding; iterative detection-decoding; MIMO; OFDM; Orthogonal Frequency Division Multiplexing; Probability distribution; Receivers; Sphere detection; Studies; Transmitting antennas; Upper bound; Upper bounds
• ISSN: 0733-8716; 1558-0008
• DOI: 10.1109/JSAC.2009.091002

Iterative soft detection and channel decoding for MIMO OFDM downlink receivers is studied in this work. Proposed inner soft sphere detection employs a variable upper bound for number of candidates per transmit antenna and utilizes the breath-first candidate-search algorithm. Upper bounds are based on probability distribution of the number of candidates found inside the spherical region formed around the received symbolvector. Detection accuracy of unbounded breadth-first candidatesearch is preserved while significant reduction of the search latency and area cost is achieved. This probabilistically bounded candidate-search algorithm improves error-rate performance of non-probabilistically bounded soft sphere detection algorithms, while providing smaller detection latency with same hardware resources. Prototype architecture of soft sphere detector is synthesized on Xilinx FPGA and for an ASIC design. Using area-cost of a single soft sphere detector, a level of processing parallelism required to achieve targeted high data rates for future wireless systems (for example, 1 Gbps data rate) is determined.