Resource Allocation Strategy Of Wireless Powered Communication Networks Based On Duopoly Game Model

In wireless communication networks,energy-saving and secure communication are essential.Combining with the wireless powered communication networks(WPCN),sufficient energy can be provided for the continuous operation of the devices in these networks.Whereas,in an increasingly complex communication environment,the information security and privacy of legitimate user are threatened.The use of physical layer security can realize secure communication without incurring additional overhead for protecting the security key.Among them,cooperative jamming(CJ)technology is used to solve the problem of limited confidentiality achieved by the difference in mutual information between legitimate users and eavesdroppers.But,the cooperative jammer needs to consume a lot of energy to interfere with eavesdroppers.Intelligent reflecting surface(IRS)can suppress eavesdroppers without consuming power,which not only improves energy efficiency but also realizes communication security.However,most of the research on resource optimization technology in WPCN foucus on ensuring communication security.They ignore the dynamic constraints and game relationships between devices in reality.This paper proposes a multi-leader single-follower(MLSF)duopoly game Stackelberg model to describe the dynamic interaction between multiple devices in our proposed system.The resource allocation optimization strategy of using independent cooperative jammers in WPCN to improve the security rate of legitimate users is studied.And on the basis of the previous study,IRS is introduced to assist independent cooperative jammers to jointly improve communication security.The specific research contents are as follows:1.Cooperative jamming aided secure wireless powered communication networks:A game theoretical formulationAiming at the problem of limited jamming resources of independent cooperative jammer,the resource allocation model based on Stackelberg game in WPCN with eavesdroppers is studied.An optimization framework for maximizing the utilization of system resources is established.By using the Stackelberg game model and the algorithm of maximizing the utility functions,the optimal resource allocation strategy is realized.It achieves a confidentiality rate superior to the benchmark model and saving system resources,simultaneausly.The simulation results verify that the proposed game model can reach the best Stackelberg equilibrium point.The secrecy rate is better than that of the benchmark scheme.At the same time,it also saves the interference energy that the cooperative jammer needs to transmit.In addition,the simulation results also verify the correctness of the global optimal closed-form solutions.2.Resource allocation strategy of wireless charging network under IRS enhanced cooperative interference mechanismIn view of the limited energy of the aforementioned cooperative jammer,IRS is introduced to assist the cooperative jammer in WPCN.In this case,we studied a system model that improves energy efficiency and realizes communication security,simultaneausly.The resource consumption of CJ is reduced.Resource allocation strategy based on Stackelberg game model is established.By using alternate optimization,non-convex optimization,semi-definite relaxation technology and convex optimization theory,the best resource allocation strategy is derived.Through the introduction of IRS,a better secrecy rate than the previous two benchmark schemes has been achieved.The simulation results show that in the WPCN with IRS,the confidentiality rate of legitimate user has been improved.The effectiveness of the optimization algorithm proposed in this paper is verified.And it is demonstrated that,the power allocation ratio allocated to eavesdroppers has energy-saving effect..