Iterative Multiuser Detectors for Spatial–Frequency–Time-Domain Spread Multi-Carrier DS-CDMA Systems

Lu, Hoang-Yang

doi:10.1109/tvt.2011.2132768

Cited by 11 publications

(8 citation statements)

References 34 publications

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“…Probabilistic data association (PDA) [9] and multidomain detectors [10] perform multiuser detection iteratively and have been shown to achieve a performance that is close to the optimum detector. Again, their performance degrades rapidly under overloaded conditions.…”

Section: A Literature Reviewmentioning

confidence: 99%

Design of Joint Sparse Graph for OFDM System

Wen

Razavi

Imran

et al. 2015

IEEE Trans. Wireless Commun.

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Abstract-Low density signature orthogonal frequency division multiplexing (LDS-OFDM) and low density parity-check (LDPC) codes are multiple access and forward error correction (FEC) techniques, respectively. Both of them can be expressed by a bipartite graph. In this paper, we construct a joint sparse graph combining the single graphs of LDS-OFDM and LDPC codes, namely joint sparse graph for OFDM (JSG-OFDM). Based on the graph model, a low complexity approach for joint multiuser detection and FEC decoding (JMUDD) is presented. The iterative structure of JSG-OFDM receiver is illustrated, and its extrinsic information transfer (EXIT) chart is researched. Furthermore, design guidelines for the joint sparse graph are derived through the EXIT chart analysis. By offline optimization of the joint sparse graph, numerical results show that the JSG-OFDM brings about 1.5 -1.8 dB performance improvement at bit error rate (BER) of 10 −5 over similar well-known systems such as grouporthogonal multi-carrier code division multiple access (GO-MC-CDMA), LDS-OFDM and turbo structured LDS-OFDM.

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Section: A Literature Reviewmentioning

confidence: 99%

Design of Joint Sparse Graph for OFDM System

Wen

Razavi

Imran

et al. 2015

IEEE Trans. Wireless Commun.

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“…In Fig. 5 shows that parallel concatenated code for encode the input data [12]. The input has encoded with interleaver has systematic output and without interleaver the output become sum7 and the error signal is modified with clock and input data signals.…”

Section: A MC Ds Cdma Transmitter Modelmentioning

confidence: 99%

Serial and parallel concatenated code for MC DS CDMA using Verilog HDL

Saravanakumar¹,

Nagarajan²

2014

2014 International Conference on Communication and Signal Processing

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Multi Carrier Direct Se q uence Code Division Multi p le Access(MC DS CDMA) technique is the future generation mobile communication system and to access technology in future advances. Serial and Parallel concatenated codes are used for correcting the errors in data transmission . We proposed hybrid concatenated code for MC DS CDMA structure and estimate parameters like memory and design time. Use of interleavers are reduce the burst errors between outer and inner code of encoding and decoding operation in the MC DS CDMA model. Modelsim synthesis technology used for simulate the entire model and Verilog Hardware Description Languages (HDL) are used for design the codes of MC DS CDMA systems. Index Terms -MC DS CDMA, Concatenated Code, Interleaver, Verilog HDL.

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“…Usually these suboptimal multiuser detection algorithms seek tradeoff between computation complexity and BER performance. On the basis of the Turbo decoding algorithm, various iterative multiuser detection algorithm were proposed [ 24 , 25 , 26 , 27 ]. Reference [ 26 ] proposed an iterative multiuser detector for overloaded LDPC coded CDMA systems.…”

Section: Introductionmentioning

confidence: 99%

Differential Characteristics Based Iterative Multiuser Detection for Wireless Sensor Networks

Chen

et al. 2017

Sensors

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High throughput, low latency and reliable communication has always been a hot topic for wireless sensor networks (WSNs) in various applications. Multiuser detection is widely used to suppress the bad effect of multiple access interference in WSNs. In this paper, a novel multiuser detection method based on differential characteristics is proposed to suppress multiple access interference. The proposed iterative receive method consists of three stages. Firstly, a differential characteristics function is presented based on the optimal multiuser detection decision function; then on the basis of differential characteristics, a preliminary threshold detection is utilized to find the potential wrongly received bits; after that an error bit corrector is employed to correct the wrong bits. In order to further lower the bit error ratio (BER), the differential characteristics calculation, threshold detection and error bit correction process described above are iteratively executed. Simulation results show that after only a few iterations the proposed multiuser detection method can achieve satisfactory BER performance. Besides, BER and near far resistance performance are much better than traditional suboptimal multiuser detection methods. Furthermore, the proposed iterative multiuser detection method also has a large system capacity.

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Iterative Multiuser Detectors for Spatial–Frequency–Time-Domain Spread Multi-Carrier DS-CDMA Systems

Cited by 11 publications

References 34 publications

Design of Joint Sparse Graph for OFDM System

Design of Joint Sparse Graph for OFDM System

Serial and parallel concatenated code for MC DS CDMA using Verilog HDL

Differential Characteristics Based Iterative Multiuser Detection for Wireless Sensor Networks

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