RT Journal Article
T1 Iterative power and subcarrier allocation in rate-constrained orthogonal multi-carrier downlink systems based on hybrid harmony search heuristics
A1 Del Ser, Javier
A1 Bilbao, Miren Nekane
A1 Gil-López, Sergio
A1 Matinmikko, Marja
A1 Salcedo-Sanz, Sancho
AB This paper presents a novel iterative hybrid algorithm for subcarrier and power allocation in a cognitive orthogonal frequency division multiple access (OFDMA) downlink. In the considered setup a primary base station forwards information to K distant receivers by using a single OFDM waveform, whereas a secondary base station subject to stringent per-user rate constraints interferes with the former by sending information from users to the same set of destinations. Power and user allocation at both base stations is jointly performed by the proposed algorithm to maximize the overall throughput of the setup while satisfying, at the same time, the imposed rate constraints. Our proposal, which stems from an hybridization of the harmony search (HS) and differential evolution (DE) algorithms along with a greedy local repair method, is shown through computer simulations over the extended vehicular A ITU channel model to be an effective and practical resource allocation procedure for cognitive OFDMA downlinks.
SN 0952-1976
YR 2011
FD 2011-08
LK https://hdl.handle.net/11556/3928
UL https://hdl.handle.net/11556/3928
LA eng
NO Del Ser , J , Bilbao , M N , Gil-López , S , Matinmikko , M & Salcedo-Sanz , S 2011 , ' Iterative power and subcarrier allocation in rate-constrained orthogonal multi-carrier downlink systems based on hybrid harmony search heuristics ' , Engineering Applications of Artificial Intelligence , vol. 24 , no. 5 , pp. 748-756 . https://doi.org/10.1016/j.engappai.2011.02.005
NO This work was supported in part by the Spanish Ministry of Science and Innovation through the CONSOLIDER-INGENIO 2010 (CSD200800010) and the Torres-Quevedo ( PTQ-09-01-00740, PTQ-06-01-0159 ) funding programs, as well as by the Academy of Finland through the SMAS project (decision number 134624).
DS TECNALIA Publications
RD 28 jul 2024