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3rd IEEE International Conference on Computer and Communications (ICCC)

作者： Yi, Xuan Liu, Aijun Zhang, Qingshuang Liang, Xiaohu PLA Univ Sci & Technol Coll Commun Engn Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781509063529

Polar codes are the first provably capacity-achieving family of codes which have recently attracted more and more attention, especially in 5G network. The complexity of successive cancellation (SC) based decoders is O(N log N), where N is the blocklength of the code. Because the frozen bit is known to the transmitter and the receiver, many redundant computation done in the conventional SC algorithm. In this paper, we prune the computation of frozen bits, and as to nonfrozen bit, we further utilize the property of butterfly architecture to update the likelihood ratio (LR) messages. Compared with the conventional SC decoder, the proposed method reduces the complexity without any loss of performance and the complexity of memory.

关键词： polar codes successive-cancellation algorithm reduced-complexity decoder butterfly architecture

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Phase Asynchronous Physical-Layer Network Coding: decoder Design and Experimental Study

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2017年第4期16卷 2708-2720页

作者： Ullah, Shakeel Salamat Liew, Soung Chang Lu, Lu Chinese Univ Hong Kong Dept Informat Engn Hong Kong Hong Kong Peoples R China Chinese Univ Hong Kong Inst Network Coding Hong Kong Hong Kong Peoples R China

Physical-layer network coding (PNC) channel decoding at the relay is of key importance for good performance in PNC systems. However, PNC channel decoders can have prohibitive computation complexity. Low complexity non-iterative PNC channel decoders are desired in practice. For such PNC decoders, decoding performance may degrade significantly when there is a relative phase offset between the simultaneous signals of multiple nodes received at the relay, particularly when bit-likelihood-based decoding is adopted. In this paper, we thoroughly investigate and numerically quantify the impact of relative phase offset on decoding performance. To maintain good decoding performance under relative phase offset, we introduce and experimentally evaluate symbol-likelihood-based decoding ( in contrast to bit-likelihood-based decoding) for PNC systems. Our experimental results show that symbol-likelihood-based decoding improves the packet throughput over bit-likelihood-based decoding by 100% to 400% at SNR of 15 dBs. Moreover, we study the computational complexity under both these decoding methods. We find that a reduced-complexity decoder with symbol-likelihood-based decoding provides the best performancecomplexity tradeoff for practical PNC systems.

关键词： Physical-layer network coding two-way relay channel symbol-level and bit-level decoding non-iterative decoding reduced-complexity decoder

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Physical-layer Network Coding: A High Performance PHY-layer decoder

Physical-layer Network Coding: A High Performance PHY-layer ...

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IEEE International Conference on Communications (ICC)

作者： Ullah, Shakeel Salamat Liew, Soung Chang Lu, Lu You, Lizhao Chinese Univ Hong Kong Dept Informat Engn Hong Kong Hong Kong Peoples R China Chinese Univ Hong Kong Inst Network Coding Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781479966646

Physical-layer network coding (PNC) can potentially boost the throughput of a two-way relay network by 100% compared with conventional packet forwarding schemes. However, the complexity of PNC channel decoders can be considerably higher than the complexity of channel decoders for point-to-point communication systems. Although many PNC channel decoders proposed to date have good decoding performance, they may not be feasibly implemented in practical systems due to their high computation complexities. This paper presents a reduced-complexity decoder (RCD), a PNC decoder with adjustable decoding complexity that is amenable to real-time implementation. We experimentally evaluate the performance-complexity trade-off of RCD. Our experimental results show that RCD can achieve substantial throughput gain over state-of-the-art decoders proposed for real-time PNC systems.

关键词： Physical-layer network coding two-way relay channel convolutional codes reduced-complexity decoder USRP GNU Radio

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Physical-layer Network Coding: A High Performance PHY-layer decoder

Physical-layer Network Coding: A High Performance PHY-layer ...

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Ad-Hoc and Sensor Networks Symposium

作者： Shakeel Salamat Ullah Soung Chang Liew Lu Lu Lizhao You Department of Information Engineering The Chinese University of Hong Kong Institute of Network Coding The Chinese University of Hong Kong

ISBN: (纸本)9781479966653

关键词： Physical-layer network coding Two-way relay channel Convolutional codes reduced-complexity decoder USRP GNU Radio

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