TY - JOUR
T1 - Joint user-channel assignment for efficient use of renewable energy in hybrid powered communication systems
AU - Ghorbel, Mahdi Ben
AU - Touzri, Taha
AU - Hamdaoui, Bechir
AU - Guizani, Mohsen
AU - Khalfi, Bassem
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - In this paper, we introduce a new green resource allocation problem using hybrid powering of the communication system from renewable and non-renewable sources. The objective is to efficiently allocate the power delivered from different micro-grids to satisfy the users' requirements. Minimizing a defined power cost function instead of the net power consumption aims to encourage the use of the available renewable power through collaboration between base stations within and outside the different micro-grids. The different degrees of freedom in the system, ranging from assignment of users to base stations, possibility of switching the unnecessary base stations to the sleep mode, and dynamic allocation of the available bandwidth, allow us to achieve important power cost savings. Although the formulated optimization problem is a mixed integer-real problem with a non-linear objective function, we propose an efficient two-step algorithm to jointly assign users to base stations and the shared bandwidth among users. The users-to-base stations assignment is inspired from the bin-packing approach while the bandwidth allocation is performed through the bulb-search approach. Simulation results confirm the important savings in non-renewable power consumption when using the proposed approach.
AB - In this paper, we introduce a new green resource allocation problem using hybrid powering of the communication system from renewable and non-renewable sources. The objective is to efficiently allocate the power delivered from different micro-grids to satisfy the users' requirements. Minimizing a defined power cost function instead of the net power consumption aims to encourage the use of the available renewable power through collaboration between base stations within and outside the different micro-grids. The different degrees of freedom in the system, ranging from assignment of users to base stations, possibility of switching the unnecessary base stations to the sleep mode, and dynamic allocation of the available bandwidth, allow us to achieve important power cost savings. Although the formulated optimization problem is a mixed integer-real problem with a non-linear objective function, we propose an efficient two-step algorithm to jointly assign users to base stations and the shared bandwidth among users. The users-to-base stations assignment is inspired from the bin-packing approach while the bandwidth allocation is performed through the bulb-search approach. Simulation results confirm the important savings in non-renewable power consumption when using the proposed approach.
KW - Efficient bandwidth allocation
KW - Green communications
KW - Power efficiency
KW - Smart grids
UR - http://www.scopus.com/inward/record.url?scp=84964801526&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2014.7417178
DO - 10.1109/GLOCOM.2014.7417178
M3 - Conference article
AN - SCOPUS:84964801526
SN - 2334-0983
JO - Proceedings - IEEE Global Communications Conference, GLOBECOM
JF - Proceedings - IEEE Global Communications Conference, GLOBECOM
M1 - 7417178
T2 - 58th IEEE Global Communications Conference, GLOBECOM 2015
Y2 - 6 December 2015 through 10 December 2015
ER -