2014/01/25 by Sanjay Vishwakarma, Vishwakarma, Sanjay, A. Chockalingam +1
Computer Science · Engineering · Mathematics · #Artificial intelligence #Artificial noise #Channel (broadcasting) #Computer network #Computer science #Computer security #Constraint (computer-aided design) #Cooperative Communication and Network Coding #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Information Theory (cs.IT) #Information-theoretic security #Mathematics #Noise (video) #Power (physics) #Secrecy #Transmitter #Wireless Communication Security Techniques #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1401.6499
published in arXiv (Cornell University) (Cornell University)
arxiv created 2014/01/25 · openalex publication_date 2014/01/25 · arxiv updated 2014/01/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
In this paper, we consider transmitter optimization in multiple-input single-output (MISO) broadcast channel with common and secret messages. The secret message is intended for K users and it is transmitted with perfect secrecy with respect to J eavesdroppers which are also assumed to be legitimate users in the network. The common message is transmitted at a fixed rate R0 and it is intended for all K users and J eavesdroppers. The source operates under a total power constraint. It also injects artificial noise to improve the secrecy rate. We obtain the optimum covariance matrices associated with the common message, secret message, and artificial noise, which maximize the achievable secrecy rate and simultaneously meet the fixed rate R0 for the common message.