A Communication Framework with Unified Efficiency and Secrecy

Abstract

Future wireless networks are confronted with the pressure to meet the requirements of network efficiency and communication secrecy, which require a new communication framework to unify and jointly optimize efficiency and secrecy. The challenges are to extend the current communication architecture and reveal the relationship of efficiency and secrecy, so that unification and joint optimization can be achieved. Artificial Intelligence (AI) is a powerful tool to solve these problems. In this article, a unified efficiency and secrecy communication framework (UESCF) is proposed to provide the theoretical bases for the applications of AI technology in wireless networks. Under the proposed framework, AI technologies are applied to generate the network common knowledge and communication private knowledge, with the purpose of improving efficiency and secrecy. The goal of this article is to establish the UESCF for future wireless networks and offer an overview to illuminate the potential applications of AI in the proposed framework. 2002-2012 IEEE.