Near-Capacity Wireless System Design Principles

Nguyen, Hung Viet; Xu, Chao; Ng, Soon Xin; Hanzo, Lajos

doi:10.1109/comst.2015.2464300

Cited by 24 publications

(36 citation statements)

References 161 publications

(199 reference statements)

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“…11 compares the constrained AMI of the proposed N-DSTC and of the conventional S-DSTC schemes, where the DUC and ADSM encoding were considered. Specifically, the constrained AMI of a differential scheme was calculated by assuming that the associated AMI is 10 log 10 (2) ≈ 3.01-dB lower than that of its coherent counterpart [57]. 11 The number of TAs was set to M = 4, 64 and 1024, while the number of RAs was fixed to N = 4.…”

Section: A Ideal Narrowband Scenariomentioning

confidence: 99%

Differential Space-Time Coding Dispensing With Channel Estimation Approaches the Performance of Its Coherent Counterpart in the Open-Loop Massive MIMO-OFDM Downlink

Ishikawa

Rajashekar

et al. 2018

IEEE Trans. Commun.

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In this paper, we propose a simple yet powerful mapping scheme that converts any conventional square-matrix-based differential space-time coding (DSTC) into a nonsquare-matrixbased DSTC. This allows DSTC schemes to be used practically in open-loop large-scale multiple-input multiple-output scenarios. Our proposed scheme may be viewed as the differential counterpart of coherent spatial modulation (SM), of the generalized SM, of Bell laboratories layered space-time architecture, and of subcarrier-index modulation. The fundamental impediment of the existing DSTC schemes is the excessive complexity imposed by the unitary constraint. Specifically, the transmission rate of conventional DSTC schemes decays as the number of transmit antennas increases. Our proposed scheme eliminates this impediment and thus achieves a significantly higher transmission rate. We introduce four novel construction methods for the nonsquare codewords, some of which include an arbitrary number of nonzero elements in each codeword column. Our analysis shows that the proposed encoding technique reduces the complexity of both the inverse Fourier transform and of the detection processes. Our proposed scheme is shown to approach the performance of its coherent counterpart for low-mobility scenarios, where the number of transmit antennas is increased up to 256.

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Section: A Ideal Narrowband Scenariomentioning

confidence: 99%

Differential Space-Time Coding Dispensing With Channel Estimation Approaches the Performance of Its Coherent Counterpart in the Open-Loop Massive MIMO-OFDM Downlink

Ishikawa

Rajashekar

et al. 2018

IEEE Trans. Commun.

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“…Concatenated coding scheme is divided into three main types, namely Parallel Concatenated Convolutional (PCC) codes, Self-concatenated Convolutional (ScC) codes and Serial Concatenated Convolutional (SCC) codes, depending on how the exchange of iterative information takes place among the constituent encoders [22]. In PCC coding, there are two or more constituent encoders combined in a parallel fashion.…”

Section: Soft Decoder Encodermentioning

confidence: 99%

“…A self-concatenated code with an interleaver is a scheme based on only one RSC encoder, simplifying the process but ensuring no compromise on performance. These low-complexity codes are best suitable for the construction of trellis coded modulation, based on one trellis [22]. The bit-error probability of all the related interleavers is governed by the maximum-likelihood decoding.…”

Section: Self-concatenated Convolutional Coding (Seccc)mentioning

confidence: 99%

Analysis of Near-Capacity Iterative Decoding Schemes for Wireless Communication Using EXIT Charts

et al. 2020

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This article proposes and compares the performance of three flexible and bandwidth efficient transceivers. The terminology of Over-Complete Mapping (OCM) is introduced in the first two schemes. All of the schemes, namely Non-Convergent Serial Concatenated OCM Coding (NCSCOC), Convergent Serial Concatenated OCM Coding (CSCOC) and Self-Concatenated Convolutional Coding (SECCC); are simulated for the Rayleigh channel and employing iterative decoding to attain the refined output stream for feeding the video decoder. Specifically, the iterative decoding is beneficial in acquiring the convergence of EXtrinsic Information Transfer (EXIT) curves by repeatedly sharing of the mutual information. The difference between the NCSCOC and CSCOC schemes lies in the inner and outer rates. This change reflects an improvement in the Bit-Error Rate (BER) and improved EXIT convergence of CSCOC scheme, with reference to NCSCOC scheme. Results show that NCSCOC scheme never reaches the point of perfect convergence despite iterative decoding. However, CSCOC and SECCC schemes succeed in securing perfect convergence. Investigating the BER curves, it is deducible that SECCC is the most desirable transceiver system, having the least BER. Furthermore, it is plausible that the overall performance of SECCC is much better than the preceding schemes. Explicitly, our experimental results show that the proposed CSCOC scheme outperforms its identical code rate counterpart NCSCOC scheme by about 3 dB at the Peak Signalto-Noise Ratio (PSNR) degradation point of 1 dB. Additionally, an E b /N 0 gain of 20 dB is attained using SECCC scheme relative to identical code rate NCSCOC benchmarked scheme.

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“…To approach the capacity, the irregular convolutional code (IrCC) is chosen as it can adjust the shape of its EXIT curve to match that of the SAD-VAMP-SFDE-plus-URCD in turbo equalization. The IrCCs have been widely used in many applications including the near-capacity MMSE turbo equalization [45], [46], cooperative multi-user communications [47], and space-time block code designs [48], [49], etc.…”

Section: B Matching Irregular Recursive Convolutional Codementioning

confidence: 99%

Performance Analysis and Improvement for VAMP Soft Frequency-Domain Equalizers

Tao

et al. 2019

IEEE Access

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The vector approximate message passing (VAMP) soft frequency-domain equalizer (SFDE) has been proposed for turbo equalization. It consists of an inner soft equalizer (ISE) and an inner soft slicer (ISS), which iteratively exchange block-wise extrinsic information to improve the equalization performance, analogous to the outer turbo iteration between a soft equalizer and a soft decoder. However, a comparison of the VAMP-SFDE with other types of self-iterative SFDEs, including the self-iterative block-wise soft interference cancellation (SI-BSIC) SFDE and the generalized approximate message passing (GAMP) SFDE, is lacking. Moreover, comprehensive performance analysis for the VAMP-SFDE is yet to be performed. In this paper, relations among the VAMP-SFDE, the SI-BSIC-SFDE, and the GAMP-SFDE are first revealed. After that, the performance analysis is provided for the VAMP-SFDE and it leads to an improved semi-adaptive damping (SAD) scheme for maintaining the independence between the ISS and ISE. The resulting SAD-VAMP-SFDE shows improved mean square error (MSE) evolution curves compared with the original VAMP-SFDE. The SAD-VAMP-SFDE-based turbo equalization outperforms those using the SI-BSIC-SFDE or GAMP-SFDE and approaches the matched filter bound (MFB) over low signal-to-noise ratio region. To further demonstrate its superiority, the SAD-VAMP-SFDE is employed to enable a near-capacity transceiver design, which adopts the serial concatenation of an irregular convolutional code and a unity-rate code on the transmitter side.INDEX TERMS Frequency-domain turbo equalization, self-iterative soft equalizer (SISE), state evolution, vector approximate message passing (VAMP).

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Near-Capacity Wireless System Design Principles

Cited by 24 publications

References 161 publications

Differential Space-Time Coding Dispensing With Channel Estimation Approaches the Performance of Its Coherent Counterpart in the Open-Loop Massive MIMO-OFDM Downlink

Differential Space-Time Coding Dispensing With Channel Estimation Approaches the Performance of Its Coherent Counterpart in the Open-Loop Massive MIMO-OFDM Downlink

Analysis of Near-Capacity Iterative Decoding Schemes for Wireless Communication Using EXIT Charts

Performance Analysis and Improvement for VAMP Soft Frequency-Domain Equalizers

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