677 research outputs found
A Systematic Approach to Incremental Redundancy over Erasure Channels
As sensing and instrumentation play an increasingly important role in systems
controlled over wired and wireless networks, the need to better understand
delay-sensitive communication becomes a prime issue. Along these lines, this
article studies the operation of data links that employ incremental redundancy
as a practical means to protect information from the effects of unreliable
channels. Specifically, this work extends a powerful methodology termed
sequential differential optimization to choose near-optimal block sizes for
hybrid ARQ over erasure channels. In doing so, an interesting connection
between random coding and well-known constants in number theory is established.
Furthermore, results show that the impact of the coding strategy adopted and
the propensity of the channel to erase symbols naturally decouple when
analyzing throughput. Overall, block size selection is motivated by normal
approximations on the probability of decoding success at every stage of the
incremental transmission process. This novel perspective, which rigorously
bridges hybrid ARQ and coding, offers a pragmatic means to select code rates
and blocklengths for incremental redundancy.Comment: 7 pages, 2 figures; A shorter version of this article will appear in
the proceedings of ISIT 201
Low-rate coding using incremental redundancy for GLDPC codes
In this paper we propose a low-rate coding method, suited for application-layer forward error correction. Depending on channel conditions, the coding scheme we propose can switch from a fixed-rate LDPC code to various low-rate GLDPC codes. The source symbols are first encoded by using a staircase or triangular LDPC code. If additional symbols are needed, the encoder is then switched to the GLDPC mode and extra-repair symbols are produced, on demand. In order to ensure small overheads, we consider irregular distributions of extra-repair symbols optimized by density evolution techniques. We also show that increasing the number of extra-repair symbols improves the successful decoding probability, which becomes very close to 1 for sufficiently many extra-repair symbols
Fountain coding with decoder side information
In this contribution, we consider the application of Digital Fountain (DF) codes to the problem of data transmission when side information is available at the decoder. The side information is modelled as a "virtual" channel output when original information sequence is the input. For two cases of the system model, which model both the virtual and the actual transmission channel either as a binary erasure channel or as a binary input additive white Gaussian noise (BIAWGN) channel, we propose methods of enhancing the design of standard non-systematic DF codes by optimizing their output degree distribution based oil the side information assumption. In addition, a systematic Raptor design has been employed as a possible solution to the problem
Isn't Hybrid ARQ Sufficient?
In practical systems, reliable communication is often accomplished by coding
at different network layers. We question the necessity of this approach and
examine when it can be beneficial. Through conceptually simple probabilistic
models (based on coin tossing), we argue that multicast scenarios and protocol
restrictions may make concatenated multi-layer coding preferable to physical
layer coding alone, which is mostly not the case in point-to-point
communications.Comment: Paper presented at Allerton Conference 201
Random Linear Network Coding for 5G Mobile Video Delivery
An exponential increase in mobile video delivery will continue with the
demand for higher resolution, multi-view and large-scale multicast video
services. Novel fifth generation (5G) 3GPP New Radio (NR) standard will bring a
number of new opportunities for optimizing video delivery across both 5G core
and radio access networks. One of the promising approaches for video quality
adaptation, throughput enhancement and erasure protection is the use of
packet-level random linear network coding (RLNC). In this review paper, we
discuss the integration of RLNC into the 5G NR standard, building upon the
ideas and opportunities identified in 4G LTE. We explicitly identify and
discuss in detail novel 5G NR features that provide support for RLNC-based
video delivery in 5G, thus pointing out to the promising avenues for future
research.Comment: Invited paper for Special Issue "Network and Rateless Coding for
Video Streaming" - MDPI Informatio
Rateless Space-Time Block Codes for 5G Wireless Communication Systems
This chapter presents a rateless space-time block code (RSTBC) for massive multiple-input multiple-output (MIMO) wireless communication systems. We discuss the principles of rateless coding compared to the fixed-rate channel codes. A literature review of rateless codes (RCs) is also addressed. Furthermore, the chapter illustrates the basis of RSTBC deployments in massive MIMO transmissions over lossy wireless channels. In such channels, data may be lost or are not decodable at the receiver end due to a variety of factors such as channel losses or pilot contamination. Massive MIMO is a breakthrough wireless transmission technique proposed for future wireless standards due to its spectrum and energy efficiencies. We show that RSTBC guarantees the reliability of the system in such highly lossy channels. Moreover, pilot contamination (PC) constitutes a particularly significant impairment in reciprocity-based multi-cell systems. PC results from the non-orthogonality of the pilot sequences in different cells. In this chapter, RSTBC is also employed in the downlink transmission of a multi-cell massive MIMO system to mitigate the effects of signal-to-interference-and-noise ratio (SINR) degradation resulting from PC. We conclude that RSTBC can effectively mitigate such interference. Hence, RSTBC is a strong candidate for the upcoming 5G wireless communication systems
Development of rate-compatible structured LDPC CODEC algorithms and hardware IP
Issued as final reportSamsung Advanced Institute of Technolog
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