Show simple item record

AuthorTouzri, Taha
AuthorGhorbel, Mahdi Ben
AuthorHamdaoui,Bechir
AuthorGuizani, Mohsen
AuthorKhalfi, Bassem
Available date2021-09-01T10:03:37Z
Publication Date2016
Publication NameIEEE Transactions on Wireless Communications
ResourceScopus
URIhttp://dx.doi.org/10.1109/TWC.2016.2519908
URIhttp://hdl.handle.net/10576/22529
AbstractIn this paper, we introduce a new green resource allocation problem using hybrid powering of communication systems from renewable and nonrenewable sources. The objective is to efficiently allocate the power delivered from the different micro-grids to satisfy the network 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 the 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, dynamic power allocation, and dynamic allocation of the available bandwidth, allow us to achieve important power cost savings. Since the formulated optimization problem is a mixed integer-real problem with a nonlinear objective function, we propose to solve the problem using the branch and bound (B&B) approach, which allows to obtain the optimal or a suboptimal solution with a known distance to the optimal. The relaxed problem is shown to be a convex optimization which allows to obtain the lower bound. For practical applications with large number of users, we propose a heuristic solution based on decomposing the problem into two subproblems. The users-to-base stations assignment is solved using an algorithm inspired from the bin-packing approach while the bandwidth allocation is performed through the bulb-search approach. Simulation results confirm the important savings in the nonrenewable power consumption when using the proposed approach and the efficiency of the proposed disjointed algorithms. 2016 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectBandwidth
Base stations
Branch and bound method
Convex optimization
Cost functions
Degrees of freedom (mechanics)
Electric power transmission networks
Electric power utilization
Energy efficiency
Integer programming
Optimization
Problem solving
Dynamic power allocation
Dynamic spectrum allocations
Green communications
Nonlinear objective functions
Power efficiency
Renewable energies
Resource allocation problem
Smart grid
Smart power grids
TitleEfficient Usage of Renewable Energy in Communication Systems Using Dynamic Spectrum Allocation and Collaborative Hybrid Powering
TypeArticle
Pagination3327-3338
Issue Number5
Volume Number15
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record