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Published in: Wireless Networks 1/2020

26-10-2019

Resource allocation on secrecy energy efficiency for C-RAN with artificial noise

Authors: Lingquan Meng, Qingran Wang, Zhengxia Ji, Mengyun Nie, Baofeng Ji, Chunguo Li, Kang Song

Published in: Wireless Networks | Issue 1/2020

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Abstract

In this paper, we devote to maximize the secrecy energy efficiency (SEE) for a cloud radio access network where exists an eavesdropper wiretapping information from remote radio head. We first establish the system model and then formulate the power optimization problem to maximize the SEE of the system subject to the fronthaul capacity and transmit power constraints. To address this nonconvex problem, we first convert the fractional objective function into a subtractive form and two algorithms are then proposed to solve it. Simulation results indicate that the proposed the iterative optimization algorithms can obtain higher SEE and present the merit of AN in enhancing the system performance when compared with conventional methods.

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Metadata
Title
Resource allocation on secrecy energy efficiency for C-RAN with artificial noise
Authors
Lingquan Meng
Qingran Wang
Zhengxia Ji
Mengyun Nie
Baofeng Ji
Chunguo Li
Kang Song
Publication date
26-10-2019
Publisher
Springer US
Published in
Wireless Networks / Issue 1/2020
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-019-02160-x

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