Energy efficient power allocation strategy for 5G carrier aggregation scenario

Energy efficient power allocation strategy for 5G carrier aggregation scenario

Abstract Carrier aggregation (CA) is considered to be a potential technology in next generation wireless communications. While boosting system throughput, CA has also put forward challenges to the resource allocation problems. In this paper, we firstly construct the energy efficiency optimization pr...

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Bibliographic Details
Main Authors: Weidong Gao, Lin Ma, Gang Chuai
Format: Article
Language:English
Published: SpringerOpen 2017-08-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Carrier aggregation
Power allocation
Binary search
Strictly quasi concave
Optimization
Online Access:http://link.springer.com/article/10.1186/s13638-017-0924-1
Description
Summary:Abstract Carrier aggregation (CA) is considered to be a potential technology in next generation wireless communications. While boosting system throughput, CA has also put forward challenges to the resource allocation problems. In this paper, we firstly construct the energy efficiency optimization problem and prove that the function is strictly quasi concave. Then we propose a binary search-based power allocation algorithm to solve the strictly quasi concave optimization problem. Simulation results show that the proposed algorithm can greatly improve the system energy efficiency while keeping low computation complexity.
ISSN:1687-1499

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