Mutual Information Based Resource Allocation in Relay Networks
Konferenz: SCC'10 - 8th International ITG Conference on Source and Channel Coding
18.01.2010 - 21.01.2010 in Siegen, Germany
Seiten: 6Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Khan, Aimal; Kühn, Volker (University of Rostock, Institute of Communications Engineering)
In this paper, we present a novel technique of resource allocation based on information combining for decode-and-forward with soft decision and hard decision. The mathematical formulation for the serial information concatenation will be derived and used in conjunction with parallel information combining to allocate power and relays. For an ideal code power gain and the minimum number of required relays for specific setups are approximated. In contrast to conventional power optimization where the mutual information is maximized, in this work, the minimum sum power is allocated which suffice to allow the destination to successfully decode under individual relay power constraints. Finally, to confirm the validity of this technique, the technique is also applied to a real code.