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Item – Theses Canada
Page Content
Item – Theses Canada
OCLC number
1032996964
Link(s) to full text
LAC copy
Author
Hao, Liu.
Title
Energy-efficient power allocation and wireless backhaul design in heterogeneous small cell networks.
Degree
(Master of Applied Science - MASc)--University of British Columbia, 2016.
Publisher
Vancouver : University of British Columbia, 2016.
Description
1 online resource
Notes
Includes bibliographical references.
Http://creativecommons.org/licenses/by/4.0.
Attribution 4.0 International.
Abstract
The widespread applications of wireless services and dense devices access have triggered huge energy consumption. Due to the environmental and financial considerations, energy-efficient design in wireless networks has become an inevitable trend. Since the macrocell cannot satisfy the increasing data requirements of users, heterogeneous small cell network is one of the promising techniques to provide wireless service. However, backhaul is the bottle neck in the deployment of heterogeneous small cell networks. To address the challenges of backhaul design and energy efficiency, we study the energyefficient power allocation and wireless backhaul bandwidth allocation in orthogonal frequency division multiple access heterogeneous small cell networks. Different from the existing resource allocation schemes that maximize the throughput, the studied scheme maximizes energy efficiency by allocating both transmit power of each small cell base station to each user and unified bandwidth for backhauling, according to the channel state information and the circuit power consumption. The problem is formulated as a non-convex nonlinear programming problem and then it is decomposed into two convex subproblems. A near optimal iterative resource allocation algorithm is designed to solve the resource allocation problem. A suboptimal low-complexity approach is also developed by exploring the inherent structure and property of the energy-efficient design. Simulation results demonstrate the effectiveness of the proposed algorithms when compared with the existing schemes.
Other link(s)
hdl.handle.net
circle.library.ubc.ca
Date modified:
2022-09-01