Title :
Lattice codes for many-to-one cognitive interference networks
Author :
Jingge Zhu ; Gastpar, Michael
Author_Institution :
Sch. of Comput. & Commun. Sci., EPFL, Lausanne, Switzerland
Abstract :
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.
Keywords :
cognitive radio; network coding; numerical analysis; radiofrequency interference; achievable rate region enlargement; cognitive many-to-one interference network; compute-and-forward coding scheme; lattice code; network coding scheme; numerical evaluation; Decoding; Encoding; Interference channels; Lattices; Receivers;
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIT.2013.6620623