TY - GEN
T1 - Optimal design for power beacon assisted wireless communication networks with integrated services
AU - Li, Bin
AU - Liu, Haiju
AU - Fei, Zesong
N1 - Publisher Copyright:
Copyright © 2017 EAI.
PY - 2017
Y1 - 2017
N2 - In this paper, we consider the optimal design for a wireless-powered communication system, where an energy constrained transmitter harvests energy from a dedicated power beacon (PB). From the service integration perspective, two sorts of service messages are combined and served simultaneously, i.e., a multicast message intended for both receivers and a confidential message intended for receiver 1 but needing to be kept perfectly secret from receiver 2. Our design objective is to maximize the achievable secrecy rate region by jointly optimizing the transmit covariance matrices for the multicast message and confidential message, as well as the transfer time ratio recorded at the transmitter, subject to the multicast service and the transmit power constraints. The formulated secrecy rate region maximization (SRRM) problem is a non-convex vector maximization problem. To address it, we reformulate the SRRM problem into a scalar optimization problem. Furthermore, we propose a two-layer optimal algorithm to find all the Pareto optimal points. Numerical results are finally provided to demonstrate the effectiveness of our proposed scheme in improving the secrecy rate region.
AB - In this paper, we consider the optimal design for a wireless-powered communication system, where an energy constrained transmitter harvests energy from a dedicated power beacon (PB). From the service integration perspective, two sorts of service messages are combined and served simultaneously, i.e., a multicast message intended for both receivers and a confidential message intended for receiver 1 but needing to be kept perfectly secret from receiver 2. Our design objective is to maximize the achievable secrecy rate region by jointly optimizing the transmit covariance matrices for the multicast message and confidential message, as well as the transfer time ratio recorded at the transmitter, subject to the multicast service and the transmit power constraints. The formulated secrecy rate region maximization (SRRM) problem is a non-convex vector maximization problem. To address it, we reformulate the SRRM problem into a scalar optimization problem. Furthermore, we propose a two-layer optimal algorithm to find all the Pareto optimal points. Numerical results are finally provided to demonstrate the effectiveness of our proposed scheme in improving the secrecy rate region.
KW - Confidential message
KW - Multicast message
KW - Physical-layer service integration
KW - Secrecy capacity region
KW - Wireless energy transfer
UR - http://www.scopus.com/inward/record.url?scp=85052552843&partnerID=8YFLogxK
U2 - 10.475/eai.13-7-2017.2270076
DO - 10.475/eai.13-7-2017.2270076
M3 - Conference contribution
AN - SCOPUS:85052552843
SN - 9781631901560
T3 - International Conference on Mobile Multimedia Communications (MobiMedia)
SP - 47
EP - 52
BT - MOBIMEDIA 2017 - 10th EAI International Conference on Mobile Multimedia Communications
A2 - Chen, Lei
A2 - Liu, Yanbing
A2 - Chen, Qianbin
A2 - Wu, Dapeng
A2 - Ansari, Nirwan
A2 - Wu, Dalei
A2 - Wang, Honggang
PB - ICST
T2 - 10th EAI International Conference on Mobile Multimedia Communications, MOBIMEDIA 2017
Y2 - 13 July 2017 through 14 July 2017
ER -