Title :
Computing sum of sources over an arbitrary multiple access channel
Author :
Padakandla, Arun ; Pradhan, S. Sandeep
Author_Institution :
Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
The problem of computing sum of sources over a multiple access channel (MAC) is considered. Building on the technique of linear computation coding (LCC) proposed by Nazer and Gastpar [1], we employ the ensemble of nested coset codes to derive a new set of sufficient conditions for computing sum of sources over an arbitrary MAC. The optimality of nested coset codes [2] enables this technique outperform LCC even for linear MAC with a structural match. Examples of non-additive MAC for which the technique proposed herein outperforms separation and systematic based computation are also presented. Finally, this technique is enhanced by incorporating separation based strategy, leading to a new set of sufficient conditions for computing sum over a MAC.
Keywords :
combined source-channel coding; linear codes; multi-access systems; telecommunication channels; LCC; arbitrary multiple access channel; linear MAC; linear computation coding; nested coset code ensemble; nonadditive MAC; separation based strategy; structural match; systematic based computation; Decoding; Linear codes; Source coding; Upper bound; Vectors;
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIT.2013.6620605