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Segment Combining and Patching for Short Packet forward error control coding

WIRELESS PERSONAL COMMUNICATIONS 2017年第4期97卷 6425-6439页

作者： Woo, Tai-Kuo Natl Def Univ Dept Informat Management Taipei Taiwan

Modern networks are popular with a large number of short packets generated by many light weight, low power devices. We propose a new approach, segment combining and patching (SCP), for forward error control coding suitable for short packets, where the encoder logically divides a full packet into a number of partially overlapped subpackets based on a Finite Projective Plane of order m, and transmits the full packet n times. Upon receiving all n replicas of a full packet, the decoder generates an additional combined packet using Maximum Ratio Combining. By selecting non-faulty subpackets through Cyclic Redundancy Checks, both inter-cluster and intra-cluster patching are then performed on the n + 1 clusters of subpackets until no new non-faulty subpackets are generated. Simulation results in both AWGN and block fading channels demonstrate that the SCP is an effective approach for forward error control coding for short packet communication in embedded networks, sensor networks, and so on. Lastly, we provide a theory of SCP to show how it works.

关键词： forward error control coding FEC Cyclic redundancy check CRC CRC failures Segment combining and patching SCP Maximum ratio combining Finite projective plane

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Compressed coding, AMP-Based Decoding, and Analog Spatial Coupling

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IEEE TRANSACTIONS ON COMMUNICATIONS 2020年第12期68卷 7362-7375页

作者： Liang, Shansuo Liang, Chulong Ma, Junjie Ping, Li City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China Huawei Hong Kong Res Ctr Hong Kong Peoples R China Algorithm Dept ZTE Corp Shenzhen 518057 Peoples R China ZTE Corp State Key Lab Mobile Network & Mobile Multimedia Shenzhen 518057 Peoples R China Chinese Acad Sci Acad Math & Syst Sci Inst Computat Math & Sci Engn Comp Beijing 100190 Peoples R China

This paper considers a compressed-coding scheme that combines compressed sensing with forward error control coding. Approximate message passing (AMP) is used to decode the message. Based on the state evolution analysis of AMP, we derive the performance limit of compressed-coding. We show that compressed-coding can approach Gaussian capacity at a very low compression ratio. Further, the results are extended to systems involving non-linear effects such as clipping. We show that the capacity approaching property can still be maintained when generalized AMP is used to decode the message. To approach the capacity, a low-rate underlying code should be designed according to the curve matching principle, which is complicated in practice. Instead, analog spatial-coupling is used to avoid sophisticated low-rate code design. In the end, we study the coupled scheme in a multiuser environment, where analog spatial-coupling can be realized in a distributive way. The overall block length can be shared by many users, which reduces block length per-user.

关键词： Decoding error correction Encoding error correction codes Signal to noise ratio Modulation Compressed sensing Compressed sensing forward error control coding approximate message passing state evolution area theorem and analog spatial-coupling

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Space-Time Linear Precoding and Iterative LMMSE Detection for MIMO Channels without CSIT

Space-Time Linear Precoding and Iterative LMMSE Detection fo...

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IEEE International Symposium on Information Theory (ISIT)

作者： Yuan, Xiaojun Ping, Li City Univ Hong Kong Dept Elect Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781457705953

We propose a space-time coding scheme for efficient transmission over multiple-input multiple-output (MIMO) channels without channel state information at the transmitter (CSIT). The proposed scheme involves linear precoding (LP) at the transmitter and iterative linear minimum mean-square error (LMMSE) detection at the receiver. We develop a procedure to jointly optimize the forward-error-control (FEC) coding and LP, taking into consideration of the iterative detection process. Our analysis shows that the proposed scheme can perform close to the outage capacity of MIMO channels.

关键词： Encoding FEC coding Interference Iterative decoding LP MIMO MIMO channels MIMO communication Receivers Signal to noise ratio forward error control coding iterative LMMSE detection iterative linear minimum mean square error detection iterative methods least mean squares methods linear codes multiple-input multiple-output channels outage capacity precoding signal detection space-time codes space-time coding scheme space-time linear precoding wireless channels

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Compressed-coding and Analog Spatial-Coupling using AMP based Decoding

Compressed-Coding and Analog Spatial-Coupling using AMP base...

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IEEE Global Communications Conference (GLOBECOM) on Advanced Technology for 5G Plus

作者： Liang, Shansuo Liang, Chulong Ma, Junjie Ping, Li City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China Chinese Acad Sci Inst Computat Math & Sci Comp Beijing Peoples R China

ISBN: (纸本)9781728182988

This paper considers a compressed-coding scheme that combines compressed sensing with forward error control coding. Approximate message passing (AMP) is used to decode the message. Based on the state evolution analysis of AMP, we derive the performance limit of compressed-coding. We show that compressed-coding can approach Gaussian capacity at a very low compression ratio. Further, the results are extended to systems involving non-linear effects such as clipping. We show that the capacity approaching property can still he maintained when generalized AMP is used to decode the message. To approach the capacity, a low-rate underlying code should be designed according to the curve matching principle, which is complicated in practice. Instead, analog spatial-coupling is used to avoid sophisticated low-rate code design.

关键词： Compressed sensing forward error control coding approximate message passing state evolution area theorem and analog spatial-coupling

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