Fundamental Limits of Communications in Interference Networks-Part II: Information Flow in Degraded Networks
Reza K. Farsani

TL;DR
This paper characterizes the sum-rate capacity of degraded interference networks, demonstrating the optimality of successive decoding and message subset transmission, and extends these results to derive tighter outer bounds for general networks.
Contribution
It provides a full characterization of sum-rate capacity for degraded networks, introduces algorithms for message subset selection, and derives tighter outer bounds for arbitrary interference networks.
Findings
Successive decoding is sum-rate optimal in degraded networks.
Transmitting only a subset of messages suffices to achieve sum-rate capacity.
Outer bounds are tighter than existing cut-set bounds for many network scenarios.
Abstract
In this second part of our multi-part papers, the information flow in degraded interference networks is studied. A full characterization of the sum-rate capacity for the degraded networks with any possible configuration is established. It is shown that a successive decoding scheme is sum-rate optimal for these networks. Also, it is proved that the transmission of only a certain subset of messages is sufficient to achieve the sum-rate capacity in such networks. Algorithms are presented to determine this subset of messages explicitly. According to these algorithms, the optimal strategy to achieve the sum-rate capacity in degraded networks is that the transmitters try to send information for the stronger receivers and, if possible, avoid sending the messages with respect to the weaker receivers. The algorithms are easily understood using our graphical illustrations for the achievability…
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced MIMO Systems Optimization · Wireless Communication Security Techniques
