Advanced Coding and Stochastic Signal Processing in Dense Communication Networks
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Network Science".
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 13000
Special Issue Editor
Interests: coding and information theory; stochastic signal processing; iterative and cooperative algorithms on graphs; estimation theory; physical layer network coding
Special Issue Information
Dear Colleagues,
Advanced coding and stochastic signal processing are key enabling techniques for reliable communications in dense, highly interfering wireless communication networks. The dense networks are defined as multi-node/user wireless network scenarios where mutual signal interaction is a predominant limiting factor. This situation requires that the coding and processing fully exploits the knowledge of the interaction structure and form, together with the network topology, and uses it proactively in the distributed processing algorithms on all network nodes. Frequently, these communication networks are used as a part of some control or sensing network data-processing algorithm or physical device/machinery control loop.
This Special Issue focusses on advances in the following areas:
- Coding and processing for interference-limited dense wireless networks;
- Network coding, physical-layer network coding, and relaying technique;
- Channel and network state estimation and sensing for multi-node dense networks;
- Distributed and cooperative algorithms on graphs;
- Machine learning approaches for dense network coding and processing;
- Network coding aided by active and smart meta-surfaces;
- Low-latency and ultra-reliable communication;
- Coding and processing for Non-Orthogonal Multiple Access channel;
- Coding and processing for weakly defined channel, network and node state information;
- Joint design of coding/processing and control and/or data-sensing network algorithms over an unreliable dense network.
Prof. Dr. Jan Sykora
Guest Editor
Manuscript Submission Information
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Keywords
- Network coding
- Physical layer network coding
- Channel and network state estimation
- Sensing for multi-node dense networks
- Distributed and cooperative algorithms on graphs
- Machine learning approaches for dense network coding and processing
- Non-Orthogonal Multiple Access channel
- Weakly-defined channel, network and node state information
- Data sensing network algorithms