Research On Access Control And Resource Management Technologies In Cross-Media Collaborative Networks

The next generation wireless networks aim to achieve the Internet of Things(IoT)connectivity for everything,which is crucial for developing reliable and wide-ranging cross-media communication technologies to connect the sky and the ocean.In recent years,the joint network of underwater acoustic communication(UAC)and wireless communication based on the Internet of Underwater Things(IoUT)has attracted widespread attention in the industry.However,due to the channel complexity caused by the marine and air environment,the inherent medium differences in cross-media communication make direct communication difficult.In addition,due to the low transmission efficiency of underwater networks,resource management becomes an important research problem when the underwater network nodes are dense.To address these problems and challenges,this thesis studies the single-link power allocation for cross-media communication in IoUT and the multi-link spectrum sharing matching problem in the device-to-device(D2D)network of underwater devices.It proposes an optimal power allocation scheme for single-link UAC/RF cross-media communication and a multi-link one-to-one bilateral matching scheme in D2D networks,and conducts network optimization based on theoretical analysis.The research work of this thesis is as follows:Firstly,this thesis establishes a system model based on the UAC/radio frequency(RF)cross-media bidirectional relay and conducts theoretical analysis of interruption performance through channel fading coefficient modeling,ultimately proposing the optimal power allocation scheme for minimum interruption probability.The study proves the effectiveness of the optimal power allocation algorithm and verifies that it can effectively reduce the interruption probability of the system compared to the average power allocation strategy.Furthermore,this thesis explores multi-user power allocation in the multi-user UAC/RF cross-media D2D system under the framework of the joint cellular network in IoUT,and selects appropriate power through access control to ensure successful transmission.The proposed optimal matching method can help cellular users(CUs)and D2D pairs find matching objects,achieve spectrum sharing,and improve system throughput.The study shows that the optimal matching system throughput is higher than the average throughput of the random matching system under different network sizes.Particularly,when the number of D2D pairs is equal to the number of CUs,the system throughput robustly increases with the increase of equal numbers of D2D pairs and CUs.Finally,this thesis studies the dense D2D matching in hybrid UAC/RF transmission and uses the bilateral matching algorithm to maximize the sum rate of D2D pairs.Based on the preference table of the two types of users,D2D pairs and CUs,it ranks the priority of matching objects and finally realizes a stable matching scheme.The study shows that under different levels of underwater network density,the bilateral matching scheme is better than the random matching scheme and has good system performance.In summary,this thesis conducts in-depth research on the access control and wireless resource management technologies of UAC/RF cross-media collaborative networks and proposes a series of technologies and methods that can optimize network performance.These have good reference value for system design.