Lattice codes for many-to-one cognitive interference networks

In this work we consider the cognitive many-to-one interference network. We first extend existing coding schemes from the two-user case to this network scenario. Then we present a novel coding scheme using compute-and-forward and show it can enlarge the achievable rate region considerably for a wide range of parameters. Numerical evaluations are given to compare the performance of different schemes. Specializing the results to symmetric settings, for a range of parameters, our achievable rate region is shown to be within a constant gap from capacity, regardless of the number of cognitive users.


Published in:
2013 IEEE International Symposium on Information Theory, 2234-2238
Presented at:
2013 IEEE International Symposium on Information Theory (ISIT), Istanbul, Turkey, 7-12 07 2013
Year:
2013
Publisher:
IEEE
Laboratories:




 Record created 2013-11-14, last modified 2018-03-17


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