Robust Layered Transmission in Secure MISO Multiuser Unicast Cognitive Radio Systems
Derrick Wing Kwan Ng, Mohammad Shaqfeh, Robert Schober, and Hussein, Alnuweiri

TL;DR
This paper presents a robust resource allocation algorithm for secure layered video transmission in cognitive radio networks, ensuring secrecy and power efficiency despite channel uncertainties and interference constraints.
Contribution
It introduces a novel optimization framework leveraging layered transmission and artificial noise, solved via SDP relaxation for global optimality, enhancing security and power savings.
Findings
Significant power savings over traditional schemes.
Robustness against channel state information imperfections.
Effective secrecy in layered video transmission.
Abstract
This paper studies robust resource allocation algorithm design for a multiuser multiple-input single-output (MISO) cognitive radio (CR) downlink communication network. We focus on a secondary system which provides unicast secure wireless layered video information to multiple single-antenna secondary receivers. The resource allocation algorithm design is formulated as a non-convex optimization problem for minimization of the total transmit power at the secondary transmitter. The proposed framework takes into account a quality of service (QoS) requirement regarding video communication secrecy in the secondary system, the imperfection of the channel state information (CSI) of potential eavesdroppers (primary receivers) at the secondary transmitter, and a limit for the maximum tolerable received interference power at the primary receivers. Thereby, the proposed problem formulation exploits…
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