Research Of D2D Based Radio Spectrum Resource Allocation And Conflict Analyse

With the rapid growth of mobile terminals, the currently available radio spectrum resources are becoming scarcely, improving efficiency of spectrum utilization has become the focus of the current research field of wireless networks. Benefit from Device-to-Device(D2D) communication technology, such that reusing the licensed spectrum resources becomes possible, and D2 D communication and cellular communication can share the same cellular spectrum resources. Therefore, how to make spectrum allocation better and eliminate the interference effectively which brings by sharing spectrum resources, has become an important research subject of D2 D based wireless cellular networks.When D2 D communication is assigned dedicated spectrum resources, there is only interference between D2 D users. Existing researches on D2 D communication interference management mainly focused on the resource allocation optimization algorithms and the interference cancellation between different static D2 D user pairs. However, in the practical communication environment, the mobile terminals may generate new interference due to the terminal mobility during the communication, and the effectiveness of the original static interference management scheme may not be able to be guaranteed. Therefore, we analyzed a spectrum allocation and interference cancellation model in a single cellular network and proposed a low coupling spectrum sensing sequence based D2 D communication interference cancellation algorithm. Simulation results show that the algorithm can better reduce the number of spectrum collisions of D2 D users due to interference occurs, and can effectively reduce the channel switching frequency due to the collisions at the same time.In addition, existing researches on the spectrum resources non-orthogonal sharing between D2 D communication and the cellular network are mainly modeled and analyzed on the scenario that the cellular users are at full capacity, there are no consideration of the small traffic load network scenario that may exists some idle channels, and also lack analysis of the impact of original interference balance after adding new cellular users into system. For the system model which has idle channel resources, and allowing multiple D2 D users to use the same cellular multiplexed uplink resource simultaneously, we proposed a resource allocation optimization and switching scheme with neighbor cognition in D2 D communication. In order to maximize the overall system user capacity, D2 D communication resource allocation is completed under the premise of guarantee the communication priority of cellular users, D2 D users can maximize reusability of uplink channels which are occupied by cellular users, and also can communicate through using idle channels resources. What’s more, the effectiveness of our proposed algorithm was verified after several groups of comparative experiments.