Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 748-756 |
| Journal | Engineering Applications of Artificial Intelligence |
| Volume | 24 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2011 |
| MoE publication type | A1 Journal article-refereed |
Fingerprint
Keywords
- Cognitive radio
- OFDMA resource allocation
- Heuristics
- Harmony search
- Differential evolution
Cite this
}
Iterative power and subcarrier allocation in rate-constrained orthogonal multicarrier downlink systems based on hybrid harmony search heuristics. / Del Ser, Javier (Corresponding Author); Bilbao, Mirren Nekane; Gil-López, Sergio; Matinmikko, Marja; Salcedo-Sanz, Sancho.
In: Engineering Applications of Artificial Intelligence, Vol. 24, No. 5, 2011, p. 748-756.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Iterative power and subcarrier allocation in rate-constrained orthogonal multicarrier downlink systems based on hybrid harmony search heuristics
AU - Del Ser, Javier
AU - Bilbao, Mirren Nekane
AU - Gil-López, Sergio
AU - Matinmikko, Marja
AU - Salcedo-Sanz, Sancho
PY - 2011
Y1 - 2011
N2 - 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.
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.
KW - Cognitive radio
KW - OFDMA resource allocation
KW - Heuristics
KW - Harmony search
KW - Differential evolution
U2 - 10.1016/j.engappai.2011.02.005
DO - 10.1016/j.engappai.2011.02.005
M3 - Article
VL - 24
SP - 748
EP - 756
JO - Engineering Applications of Artificial Intelligence
JF - Engineering Applications of Artificial Intelligence
SN - 0952-1976
IS - 5
ER -