Title :
Resource Allocation via Linear Programming for Fractional Cooperation
Author :
Farsad, Nariman ; Eckford, Andrew W.
Author_Institution :
Dept. of Comput. Sci. & Eng., York Univ., Toronto, ON, Canada
fDate :
5/1/2012 12:00:00 AM
Abstract :
In this letter, resource allocation is considered for large multi-source, multi-relay networks employing fractional cooperation, in which each potential relay only allocates a fraction of its resources to relaying. Using a Gaussian approximation, it is shown that the optimization can be posed as a linear program, where the relays use a demodulate-and-forward (DemF) strategy, and where the transmissions are protected by low-density parity-check (LDPC) codes. This is useful since existing optimization schemes for this problem are nonconvex.
Keywords :
Gaussian processes; concave programming; cooperative communication; linear programming; parity check codes; DemF strategy; Gaussian approximation; LDPC codes; demodulate-and-forward strategy; fractional cooperation; linear programming; low-density parity-check codes; multisource multirelay networks; nonconvex optimization; resource allocation; Bit error rate; Decoding; Parity check codes; Relays; Signal to noise ratio; Silicon; Vectors; Relay networks; cooperative communication; fractional cooperation;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2012.031212.101702