Title
Edge Cache-Assisted Secure Low-Latency Millimeter-Wave Transmission
Abstract
In this article, we consider an edge cache-assisted millimeter-wave cloud radio access network (C-RAN). Each remote radio head (RRH) in the C-RAN has a local cache, which can prefetch and store the files requested by the actuators. Multiple RRHs form a cluster to cooperatively serve the actuators, which acquire their required files either from the local caches or from the central processor via multicast fronthaul links. For such a scenario, we formulate a beamforming design problem to minimize the secure transmission delay under transmit power constraint of each RRH. Due to the difficulty of directly solving the formulated problem, we divide it into two independent ones: 1) minimizing the fronthaul transmission delay by jointly optimizing the transmit and receive beamforming and 2) minimizing the maximum access transmission delay by jointly designing cooperative beamforming among RRHs. An alternatively iterative algorithm is proposed to solve the first optimization problem. For the latter, we first design the analog beamforming based on the channel state information of the actuators. Then, with the aid of successive convex approximation and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S$ </tex-math></inline-formula> -procedure techniques, a semidefinite program (SDP) is formulated, and an iterative algorithm is proposed through SDP relaxation. Finally, the simulation results are provided to verify the performance of the proposed schemes.
Year
DOI
Venue
2020
10.1109/JIOT.2019.2957351
IEEE Internet of Things Journal
Keywords
DocType
Volume
Array signal processing,Delays,Actuators,Wireless communication,Communication system security,Radio frequency,Internet of Things
Journal
7
Issue
ISSN
Citations 
3
2327-4662
1
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Wanming Hao117722.63
Ming Zeng217017.38
Gangcan Sun310.34
Pei Xiao445756.00