Joint Detection and Decoding for MIMO Systems Using Convolutional Codes: Algorithm and VLSI Architecture

Sukumar, C. P.; Shen, Chung-An; Eltawil, Ahmed M.

doi:10.1109/tcsi.2011.2180442

Cited by 20 publications

(6 citation statements)

References 28 publications

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“…Equations (28), (31), (32) and (33) constitute the MAP recursions for the first decoder. The MAP recursions for the second decoder are similar excepting that γ 1, i, m, n is replaced by…”

Section: Receivermentioning

confidence: 99%

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Data Detection in Single User Massive MIMO Using Re-Transmissions

Vasudevan¹,

Madhu²,

Singh³

2019

TOSIGPJ

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Single user massive multiple input multiple output (MIMO) can be used to increase the spectral efficiency, since the data is transmitted simultaneously from a large number of antennas located at both the base station and mobile. It is feasible to have a large number of antennas in the mobile, in the millimeter wave frequencies. However, the major drawback of single user massive MIMO is the high complexity of data recovery at the receiver. In this work, we propose a low complexity method of data detection with the help of re-transmissions. A turbo code is used to improve the bit-error-rate (BER). Simulation results indicate significant improvement in BER with just two re-transmissions as compared to the single transmission case. We also show that the minimum average SNR per bit required for error free propagation over a massive MIMO channel with re-transmissions is identical to that of the additive white Gaussian noise (AWGN) channel, which is equal to −1.6 dB. Index TermsChannel capacity, massive MIMO, turbo codesThe authors are with the

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“…Equations (28), (31), (32) and (33) constitute the MAP recursions for the first decoder. The MAP recursions for the second decoder are similar excepting that γ 1, i, m, n is replaced by…”

Section: Receivermentioning

confidence: 99%

“…Detection of LDPC coded symbols in MIMO systems is discussed in [30]. Decoding of convolutional codes in MIMO systems is presented in [31]. Decoding of polar codes in MIMO systems is given in [32].…”

Section: Introductionmentioning

confidence: 99%

Data Detection in Single User Massive MIMO Using Re-Transmissions

Vasudevan¹,

Madhu²,

Singh³

2019

TOSIGPJ

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“…A is constituted by the channel response and FSC, so local despreading code and the channel response must be generated. Local de-spreading code is available by Figure 1, and [9], use some mathematical equations to deduce it. How to get a physical implementation by these equations remains to be studied.…”

Section: The Past Research Of Jdmentioning

confidence: 99%

Research on the Joint Detection of TD-SCDMA

Fu¹,

Wang²,

Xing³

et al. 2013

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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Joint detection (JD) is a core technology of TD-SCDMA system. Only many mathematical models of JD have been proposed and discussed in many references, but there is no a physical model of JD for application. So the concept of JD is not clear. The concept of JD is made clearer by its principle and algorithm with physical model presented in this paper. Also a method for eliminating multi-path interference (MPI) by using mid-amble sequence and frequency spreading code (FSC) would be presented, and a JD constructed by that method would be proposed in the paper.

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“…In applying it, some approaches for strategy and algorithm are examined. In [17,18], instead of successively, joint detection was offered. In [19], ML detection was approached with Lagrangian, while in [20] it was approached using best channel matrix selection.…”

Section: Introductionmentioning

confidence: 99%

Performance of signal detection with trellis code for downlink non-orthogonal multiple access visible light communication

2022

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This paper examines the implementation of multi-level amplitude modulation enforced by trellis coding in a downlink non-orthogonal multiple access channel for visible light communication (VLC). The non-orthogonal transmission is applied using superposition coding and successive interference cancellation with the support of a trellis decoder. The VLC is addressed by a channel model according to Lambert. Two levels of maximum likelihood signal detection are observed and compared, each for corresponding 4 and 8 trellis-coded modulation (TCM). The power ratio allotment is examined to investigate the system performance in the bit error rate. The simulation showed that a threshold of power ratio is needed to ensure good performance of signal detection. Further simulation with successive detection had shown effective results for up to three users.

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Joint Detection and Decoding for MIMO Systems Using Convolutional Codes: Algorithm and VLSI Architecture

Cited by 20 publications

References 28 publications

Data Detection in Single User Massive MIMO Using Re-Transmissions

Data Detection in Single User Massive MIMO Using Re-Transmissions

Research on the Joint Detection of TD-SCDMA

Performance of signal detection with trellis code for downlink non-orthogonal multiple access visible light communication

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