TY - GEN
T1 - Distributed dynamic spectrum access with adaptive power allocation
T2 - 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
AU - Ben Ghorbel, Mahdi
AU - Hamdaoui, Bechir
AU - Hamdi, Rami
AU - Guizani, Mohsen
AU - Noroozoliaee, Mohammadjavad
PY - 2014
Y1 - 2014
N2 - This paper proposes energy and cross-layer aware resource allocation techniques that allow dynamic spectrum access users, by means of learning algorithms, to locate and exploit unused spectrum opportunities effectively. Specifically, we design private objective functions for spectrum users with multiple channel access and adaptive power allocation capabilities. We also propose a simple, two-phase heuristic for allocating spectrum and power resources among users. The proposed heuristic splits the spectrum and power allocation problem into two sub-optimal problems, and solve each of them separately. The spectrum allocation problem is solved, during the first phase, using learning whereas, the power allocation is formulated as an optimization problem and solved, during the second phase, by traditional optimization solvers. Simulation results show that energy and cross-layer awareness and multiple channel access capability improve the performance of the system in terms of the per-user average rewards received from accessing the dynamic spectrum access system.
AB - This paper proposes energy and cross-layer aware resource allocation techniques that allow dynamic spectrum access users, by means of learning algorithms, to locate and exploit unused spectrum opportunities effectively. Specifically, we design private objective functions for spectrum users with multiple channel access and adaptive power allocation capabilities. We also propose a simple, two-phase heuristic for allocating spectrum and power resources among users. The proposed heuristic splits the spectrum and power allocation problem into two sub-optimal problems, and solve each of them separately. The spectrum allocation problem is solved, during the first phase, using learning whereas, the power allocation is formulated as an optimization problem and solved, during the second phase, by traditional optimization solvers. Simulation results show that energy and cross-layer awareness and multiple channel access capability improve the performance of the system in terms of the per-user average rewards received from accessing the dynamic spectrum access system.
KW - Cross-layer resource allocation
KW - cognitive radio networks
KW - distributed resource sharing
KW - dynamic spectrum access
KW - private objective functions
UR - http://www.scopus.com/inward/record.url?scp=84904488817&partnerID=8YFLogxK
U2 - 10.1109/INFCOMW.2014.6849315
DO - 10.1109/INFCOMW.2014.6849315
M3 - Conference contribution
AN - SCOPUS:84904488817
SN - 9781479930883
T3 - Proceedings - IEEE INFOCOM
SP - 694
EP - 699
BT - 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 April 2014 through 2 May 2014
ER -