Multiuser MIMO-OFDM for Next-Generation Wireless Systems

Jiang, Ming; Hanzo, Lajos

doi:10.1109/jproc.2007.898869

Cited by 313 publications

(193 citation statements)

References 293 publications

(245 reference statements)

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“…According to the LTE standard specifications, a 0.5 ms time slot is composed of 7 MIMO-OFDM symbols plus their respective cyclic prefixes [2]. Furthermore, the performances with the di↵erent N c values reported in the LTE standard, i.e.…”

Section: Resultsmentioning

confidence: 99%

“…OFDM is an easy technique to mitigate the e↵ects of inter-symbol interference in frequency selective channels, turning a broadband frequency selective channel into a set of narrowband channels by transmitting data in parallel over the di↵erent subcarriers. OFDM combined with MIMO systems, also known as MIMO-OFDM [2], allows transmitting di↵erent streams over di↵erent subcarriers.…”

Section: Introductionmentioning

confidence: 99%

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Multicore implementation of a fixed-complexity tree-search detector for MIMO communications

et al. 2012

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Multi-core systems allow the e cient implementation of signal processing algorithms for communication systems due to their high parallel processing capabilities. In this paper, we present a high-throughput multi-core implementation of a fixed-complexity tree-search-based detector interesting for MIMO wireless communication systems. Experimental results confirm that this implementation allows to accelerate the data detection stage for di↵erent constellation sizes and number of subcarriers.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multicore implementation of a fixed-complexity tree-search detector for MIMO communications

et al. 2012

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“…MIMO systems can provide high spectral efficiency by means of spatially multiplexing as many data streams as transmitting antennas are used in the system. Furthermore, MIMO techniques can be used to enhance the performance of Orthogonal Frequency Division Multiplexing (OFDM) systems by exploiting the spatial domain, since MIMO-OFDM allows to transmit different streams over different subcarriers and spatial beams [17]. This increase in the spectral efficiency makes MIMO systems promising to fulfill the high-throughput requirements of current wireless standards such as WiMAX and LTE [2].…”

Section: Introductionmentioning

confidence: 99%

High-Speed RS(255, 239) Decoder Based on LCC Decoding

García-Herrero

Valls

Meher

2011

Circuits Syst Signal Process

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Abstract. The use of many-core processors such as general purpose Graphic Processing Units (GPUs) has recently become attractive for the efficient implementation of signal processing algorithms for communication systems. This is due to the costeffectiveness of GPUs together with their potential capability of parallel processing. This paper presents an implementation of the widely employed fixed-complexity sphere decoder on GPUs, which allows to considerably decrease the computational time required for the data detection stage in multiple-input multiple-output systems. Both, the hard-and soft-output versions of the method have been implemented. Speedup results show the proposed GPU implementation boosts the runtime of the parallel execution of the methods in a high performance multi-core CPU. In addition, the throughput of the algorithm is evaluated and is shown to outperform other recent implementations and to fulfill the real-time requirements of several LTE configurations.

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“…Essentially, the algorithm searches out a sequence of bit vectors on a monotonic likelihood ascent, and converges to a fixed point, within a finite number of steps [32]. A survey on MIMO OFDM systems, focused on multiuser detection and estimation heuristics approaches, is provided in [15].…”

Section: Introductionmentioning

confidence: 99%

S/MIMO MC-CDMA Heuristic Multiuser Detectors Based on Single-Objective Optimization

Abrão

Oliveira

Ciriaco

et al. 2009

Wireless Pers Commun

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This paper analyzes the complexity-performance trade-off of several heuristic near-optimum multiuser detection (MuD) approaches applied to the uplink of synchronous single/multiple-input multiple-output multicarrier code division multiple access (S/MIMO MC-CDMA) systems. Genetic algorithm (GA), short term tabu search (STTS) and reactive tabu search (RTS), simulated annealing (SA), particle swarm optimization (PSO), and 1-opt local search (1-LS) heuristic multiuser detection algorithms (Heur-MuDs) are analyzed in details, using a single-objective antenna-diversity-aided optimization approach. MonteCarlo simulations show that, after convergence, the performances reached by all nearoptimum Heur-MuDs are similar. However, the computational complexities may differ substantially, depending on the system operation conditions. Their complexities are carefully analyzed in order to obtain a general complexity-performance framework comparison and to show that unitary Hamming distance search MuD (uH-ds) approaches (1-LS, SA, RTS and STTS) reach the best convergence rates, and among them, the 1-LS-MuD provides the best trade-off between implementation complexity and bit error rate (BER) performance.

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Multiuser MIMO-OFDM for Next-Generation Wireless Systems

Cited by 313 publications

References 293 publications

Multicore implementation of a fixed-complexity tree-search detector for MIMO communications

Multicore implementation of a fixed-complexity tree-search detector for MIMO communications

High-Speed RS(255, 239) Decoder Based on LCC Decoding

S/MIMO MC-CDMA Heuristic Multiuser Detectors Based on Single-Objective Optimization

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