Physical-layer network coding: Tutorial, survey, and beyond ✩
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TLDR
It is proposed that PNC is not just for wireless networks; it can also be useful in optical networks, and an example is provided showing that the throughput of a passive optical network could potentially be raised by 100% with PNC.About:
This article is published in Physical Communication.The article was published on 2013-03-01 and is currently open access. It has received 297 citations till now. The article focuses on the topics: Linear network coding & Wireless network.read more
Citations
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Journal ArticleDOI
Compute-and-Forward: Harnessing Interference Through Structured Codes
Bobak Nazer,Michael Gastpar +1 more
TL;DR: In this article, the authors proposed a new strategy, compute-and-forward, that exploits interference to obtain significantly higher rates between users in a network by decoding linear functions of transmitted messages according to their observed channel coefficients rather than ignoring the interference as noise.
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Asynchronous Physical-Layer Network Coding
Lu Lu,Soung Chang Liew +1 more
TL;DR: A general framework for decoding at the receiver based on belief propagation is proposed and investigated and it is shown that for unchannel-coded PNC, the BP method can significantly reduce the asynchrony penalties compared with prior methods.
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Physical-Layer Network Coding: An Efficient Technique for Wireless Communications
TL;DR: The variants of channel-coded PNC-aided wireless communications are reviewed with the aim of inspiring future research activities in this area and put forth open research problems along with a few selected research directions under PNC -aided frameworks.
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Integer-Forcing MIMO Linear Receivers Based on Lattice Reduction
TL;DR: A method based on Hermite-Korkine-Zolotareff (HKZ) and Minkowski lattice basis reduction algorithms to obtain the integer coefficients for the IF receiver is proposed and shows that the proposed method provides a lower bound on the ergodic rate, and achieves the full receive diversity.
Successive compute-and-forward
TL;DR: The notion of successive interference cancellation is extended to the compute-and-forward setting and it is found that once a relay has decoded a linear combination, it can mix it with its channel output to create a new effective channel output.
References
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Book
Elements of information theory
Thomas M. Cover,Joy A. Thomas +1 more
TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
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The capacity of wireless networks
Piyush Gupta,P. R. Kumar +1 more
TL;DR: When n identical randomly located nodes, each capable of transmitting at W bits per second and using a fixed range, form a wireless network, the throughput /spl lambda/(n) obtainable by each node for a randomly chosen destination is /spl Theta/(W//spl radic/(nlogn)) bits persecond under a noninterference protocol.
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Network information flow
TL;DR: This work reveals that it is in general not optimal to regard the information to be multicast as a "fluid" which can simply be routed or replicated, and by employing coding at the nodes, which the work refers to as network coding, bandwidth can in general be saved.
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Linear network coding
TL;DR: This work forms this multicast problem and proves that linear coding suffices to achieve the optimum, which is the max-flow from the source to each receiving node.
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Iterative (turbo) soft interference cancellation and decoding for coded CDMA
Xiaodong Wang,H.V. Poor +1 more
TL;DR: Simulation results demonstrate that the proposed low complexity iterative receivers structure for interference suppression and decoding offers significant performance gain over the traditional noniterative receiver structure.