Construction and Optimization for Adaptive Polar Coded Cooperation

Líu, Hao; Liu, Aijun; Liu, Xian; Cheng, Fengyi

doi:10.1109/lwc.2020.2984738

Cited by 12 publications

(8 citation statements)

References 9 publications

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“…Furthermore, Table 5 lists all three scenarios of distributed RS codes and selection patterns, which will be considered in Section 6 to generalize the proposed distributed RS coding scheme. 3,4,6,8,10,11,12,15,16,20,21,22,23,25,26,27] 3515 505725 123550 2 [1,3,4,5,7,8,9,10,11,12,13,14,15,18,19,20,24] 3515 584250 ---3 [2,3,4,5,6,8,11,13,14,15,19,20,21,22,23,24,26] 3515 505725 132425…”

Section: Last Partmentioning

confidence: 99%

“…In [19], the short length binary code RM code has been used in the coded-cooperative scheme and the scheme constructs a subcode at the destination which acquires a better bit-error-rate (BER) performance. Also, in [18,20], polar codes have been applied in the code cooperation scheme. The idea of constructing subcode is also mentioned in the schemes of their paper.…”

Section: Introductionmentioning

confidence: 99%

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Jointly Optimized Design of Distributed RS Codes by Proper Selection in Relay

Guo

Yang

Zhao

et al. 2021

Preprint

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This paper proposes a distributed RS coding scheme which is comprised of two different ReedSolomon (RS) codes over fast Rayleigh fading channel. Practically in any distributed coding scheme, an appropriate encoding strategy at the relay plays a vital role in achieving an optimized code at the destination. Therefore, the authors have proposed an efficient approach for proper selection of information at the relay based on subspace approach. Using this approach as the proper benchmark, another more practical selection approach with low complexity is also proposed. Monte Carlo simulations demonstrate that the distributed RS coding scheme under the two approaches can achieve nearly the same bit error rate (BER) performance. Furthermore, to jointly decode the source and relay codes at the destination, two different decoding algorithms named as naive and smart algorithms are proposed. The simulation results reveal that the advantage of smart algorithm as compared to naive one. The proposed distributed RS coding scheme with smart algorithm outperforms its non-cooperative scheme by a gain of 2.4-3.2 dB under identical conditions. Moreover, the proposed distributed RS coding scheme outperforms multiple existing distributed coding schemes, making it an excellent candidate for the future distributed coding wireless communications.

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Section: Last Partmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Jointly Optimized Design of Distributed RS Codes by Proper Selection in Relay

Guo

Yang

Zhao

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The basic parameters that can be adjusted include modulation mode, coding mode, transmit power, etc. In [5], a cooperative code scheme of adaptive polar code was constructed to improve the communication between two imperfect users through rate adaptation. The bit error performance for multiple code word lengths was studied and the best operating signal-tonoise ratio(OSNR) was found under two different code rates in [6].…”

Section: Introductionmentioning

confidence: 99%

Adaptive transmission construction based on polar codes

Shu

Lei

et al. 2023

J. Phys.: Conf. Ser.

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In actual communication scenarios, wireless transmission channels have the nature of heterogeneity. In order to ensure that data can be transmitted with high reliability and low delay, this paper designs a quasi-optimal polar code that can adapt to various channel environments, which called Q-polar code. Based on the polarization theory of polar codes and the channel state information (CSI), the index set of polar codes is designed and constructed to perform data transmission tasks. The simulation results show that the bit error rate (BER) performance of proposed scheme can be improved compared with traditional polar code, especially when the code length N is small and the code rate is large.

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“…Due to the theoretical achievements of cooperative communications, they have attracted substantial attention. A very important discovery is coded cooperation [ 11 ] (i.e., distributed channel coding) as the combination of cooperative diversity and channel codes, where channel codes are key error control technologies used to ensure reliable communication transmission. The famous LDPC code [ 12 ] can approach the Shannon limit, which raises new enthusiasm about the research of LDPC coded cooperation.…”

Section: Introductionmentioning

confidence: 99%

Optimized Design of Distributed Quasi-Cyclic LDPC Coded Spatial Modulation

Zhao

Yang

Waweru

et al. 2023

Sensors

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We propose a distributed quasi-cyclic low-density parity-check (QC-LDPC) coded spatial modulation (D-QC-LDPCC-SM) scheme with source, relay and destination nodes. At the source and relay, two distinct QC-LDPC codes are used. The relay chooses partial source information bits for further encoding, and a distributed code corresponding to each selection is generated at the destination. To construct the best code, the optimal information bit selection algorithm by exhaustive search in the relay is proposed. However, the exhaustive-based search algorithm has large complexity for QC-LDPC codes with long block length. Then, we develop another low-complexity information bit selection algorithm by partial search. Moreover, the iterative decoding algorithm based on the three-layer Tanner graph is proposed at the destination to carry out joint decoding for the received signal. The recently developed polar-coded cooperative SM (PCC-SM) scheme does not adopt a better encoding method at the relay, which motivates us to compare it with the proposed D-QC-LDPCC-SM scheme. Simulations exhibit that the proposed exhaustive-based and partial-based search algorithms outperform the random selection approach by 1 and 1.2 dB, respectively. Because the proposed D-QC-LDPCC-SM system uses the optimized algorithm to select the information bits for further encoding, it outperforms the PCC-SM scheme by 3.1 dB.

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Construction and Optimization for Adaptive Polar Coded Cooperation

Cited by 12 publications

References 9 publications

Jointly Optimized Design of Distributed RS Codes by Proper Selection in Relay

Jointly Optimized Design of Distributed RS Codes by Proper Selection in Relay

Adaptive transmission construction based on polar codes

Optimized Design of Distributed Quasi-Cyclic LDPC Coded Spatial Modulation

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