For integrated sensing and communications, an intriguing question is whether information-bearing channel-coded signals can be reused for sensing – specifically ranging. This question forces the hitherto non-overlappi...
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This paper investigates link-by-link channel-coded PNC (Physical layer Network coding), in which a critical process at the relay is to transform the superimposed channel-coded packets received from the two end nodes (...
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This paper investigates link-by-link channel-coded PNC (Physical layer Network coding), in which a critical process at the relay is to transform the superimposed channel-coded packets received from the two end nodes (plus noise), Y-3 = X-1 + X-2+W-3, to the network-coded combination of the source packets, S-1 circle plus S-2. This is in contrast to the traditional multiple-access problem, in which the goal is to obtain both S-1 and S-2 explicitly at the relay node. Trying to obtain S-1 and S-2 explicitly is an overkill if we are only interested in S-1 circle plus S-2. In this paper, we refer to the transformation Y-3 -> S-1 circle plus S-2 as the channel-decoding-Network-coding process (CNC) in that it involves both channel decoding and network coding operations. This paper shows that if we adopt the Repeat Accumulate (RA) channel code at the two end nodes, then there is a compatible decoder at the relay that can perform the transformation Y-3 -> S-1 circle plus S-2 efficiently. Specifically, we redesign the belief propagation decoding algorithm of the RA code for traditional point-to-point channel to suit the need of the PNC multiple-access channel. Simulation results show that our new scheme outperforms the previously proposed schemes significantly in terms of BER without added complexity.
Demanded by high-performance wireless (WirelessHP) networks for industrial control applications, channel coding should be used and optimized. However, the adopted coding schemes in modern wireless communication standa...
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Demanded by high-performance wireless (WirelessHP) networks for industrial control applications, channel coding should be used and optimized. However, the adopted coding schemes in modern wireless communication standards are not sufficient for WirelessHP applications, in terms of both low latency and high reliability. Starting from the essential characteristics of WirelessHP regarding channel coding, this paper gives a detailed analysis of currently used short packet coding schemes in industrial wireless sensor networks, including seven coding schemes and their possible variants. The metrics employed for evaluation are bit-error rate, packet error rate, and throughput. To find suitable coding schemes from a large number of options, we propose four principles to filter the most promising coding schemes. Based on overall comparison from the perspective of practical implementation, challenges of the available coding schemes are analyzed, and directions are recommended for future research. Some reflections on how to construct specially designed coding schemes for short packets to meet the high reliability and low-latency constraints of WirelessHP are also provided.
AbstractThe deployment of channel coding and interleaving to enhance the bit‐error performance of a satellite mobile radio channel is addressed for speech and data transmissions. Different convolutional codes (CC) us...
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AbstractThe deployment of channel coding and interleaving to enhance the bit‐error performance of a satellite mobile radio channel is addressed for speech and data transmissions. Different convolutional codes (CC) using Viterbi decoding with soft decision are examined with inter‐block interleaving. Reed‐Solomon (RS) codes with Berlekamp‐Massey hard decision decoding or soft decision trellis decoding combined with block interleaving are also investigated. A concatenated arrangement employing RS and CC coding as the outer and inner coders, respectively, is used for transmissions via minimum shift keying (MSK) over Gaussian and Rayleigh fading channels. For an interblock interleaving period of 2880 bits, a concatenated arrangement of an RS(48,36). over the Galois field GF(256) and punctured PCC(3,1,7) yielding an overall coding rate of 1/2, provides a coding gain of 42dB for a BER of 10−6, and an uncorrectable error detection probability
To improve re-use of time/frequency slots in a cellular radio system, it is desirable for the average interference levels seen by all users to be made approximately equal. We provide constructions based on orthogonal ...
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To improve re-use of time/frequency slots in a cellular radio system, it is desirable for the average interference levels seen by all users to be made approximately equal. We provide constructions based on orthogonal latin squares that guarantee different sets of users will interfere in successive slots. When signal to interference ratios are independent from successive symbols, channel codes can provide a large diversity gain which is far in excess of the gain against additive noise. Consequently, coding with interleaving fits together very naturally with this construction. We illustrate how to achieve large performance improvement using convolutional codes with low decoding delay in a slow hopped system.
Recently, Muramatsu proposed source coding algorithms that use the randomness of a past sequence. The technique of his source coding algorithms is one method of constructing codes from the technique of random coding. ...
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Recently, Muramatsu proposed source coding algorithms that use the randomness of a past sequence. The technique of his source coding algorithms is one method of constructing codes from the technique of random coding. By using his technique, we propose a channel coding algorithm with random numbers which can be observed by both the encoder and the decoder where the random numbers are independent of the messages to be transmitted. Then the proposed coding algorithm can transmit messages over a discrete memoryless channel up to the channel capacity with an arbitrarily small decoding error rate and arbitrarily small bits of random numbers per message transmission asymptotically.
Stochastic encoders for channel coding and lossy source coding are introduced with a rate close to the fundamental limits, where the only restriction is that the channel input alphabet and the reproduction alphabet of...
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Stochastic encoders for channel coding and lossy source coding are introduced with a rate close to the fundamental limits, where the only restriction is that the channel input alphabet and the reproduction alphabet of the lossy source code are finite. Random numbers, which satisfy a condition specified by a function and its value, are used to construct stochastic encoders. The proof of the theorems is based on the hash property of an ensemble of functions, where the results are extended to general channels/sources and alternative formulas are introduced for channel capacity and the rate-distortion region. Since an ensemble of sparse matrices has a hash property, we can construct a code by using sparse matrices.
Edge computing extends the service resources of cloud computing to the edge of the network, providing less latency and higher bandwidth utilization. The relay edge computing wireless network (RECWN) with intelligent e...
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Edge computing extends the service resources of cloud computing to the edge of the network, providing less latency and higher bandwidth utilization. The relay edge computing wireless network (RECWN) with intelligent edge device can effectively solve the problem of wireless signal transmission distance and attenuation. However, the relay node's forwarding brings greater risks to the leakage of private information. In this article, we propose a homomorphic encryption and non-orthogonal multiple access (NOMA) based channel coding scheme to address the problem of stealing private information from users by incompletely trusted relay node or potential malicious nodes. Specifically, the homomorphic encryption algorithm is adopted to protect the privacy of users' private information. Furthermore, the code domain NOMA and LDPC algorithm are introduced to compensate for the problem of drastic drop in communication performance caused by poor sub-channel conditions, thereby improving the efficiency of data transmission, and guaranteeing the users' QoS requirements and fairness. The simulation results demonstrate that the proposed channel coding scheme has better performance than the existing approaches in terms of privacy preservation and data transmission efficiency.
We introduce a novel chaotic channel code with error-correcting capabilities. This channel code takes advantage of the natural redundancy contained in the perturbations applied to a chaotic system, in order to encode ...
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We introduce a novel chaotic channel code with error-correcting capabilities. This channel code takes advantage of the natural redundancy contained in the perturbations applied to a chaotic system, in order to encode a desired message in the symbolic dynamics of the chaotic waveform. (C) 2002 Elsevier Science B.V. All rights reserved.
Two 8-state rate 5/6 2 x 8PSK TCM codes are designed for very small-aperture-terminal (VSAT) Gaussian and fading channels (GTC and FTC systems), and eventually a system with optimum performance over the mobile-satelli...
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Two 8-state rate 5/6 2 x 8PSK TCM codes are designed for very small-aperture-terminal (VSAT) Gaussian and fading channels (GTC and FTC systems), and eventually a system with optimum performance over the mobile-satellite (MSAT) fading channel (OFT system) is obtained. The operation of these coded systems is compared with uncoded systems over Gaussian and shadowed Rician fading channels by computer simulation. For small values of bit-error probability P-b, the upper bounds on P-b are analytically calculated by pair-state diagram. Finally, the OFT system is considered as inner code and after interleaving, is concatenated with an RS(31, 25) outer code. The simulation results show that this concatenated coding system has about 13 dB coding gain at P-b=3 x 10(-4) over an uncoded system with the same effective information rate (QPSK modulation) on an MSAT channel.
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