A Wi-Fi offloading matching algorithm based on integrated sensing and communication
To address congestion and overload in integrated sensing and wireless communication networks caused by the surge of mobile data traffic,this paper proposes a Wi-Fi offloading matching algorithm based on integrated sensing and communication.Firstly,the utility function is defined by considering the system's communication throughput and perception mutual information based on information theory.Thus,the total utility of the system can be maximized while the users'quality of service(QoS)can be guaranteed.Secondly,a Wi-Fi channel allocation algorithm is established based on the graph theory.The channels are assigned to each Wi-Fi access point,and then the access selection problem of users is formulated as a many-to-one matching game model with externality.Finally,the simulation results show that the proposed offloading strategy can improve the overall utility of the system and alleviate data pressure at the base station.
heterogeneous networkWi-Fi offloadingmatching gamedual functional radar communication
万方数据
维普
