Research On Key Technologies Of Hybrid Network In 5G

With the explosion increasing of global mobile data traffic.The hybrid network becomes the key technology in the next generation mobile communication system,including the hybrid network model consist of cellular network and device to device network;as well as the heterogeneous network model consist of a macro cell and several micro cell.Compare with the tradition cellular network,hybrid network is capable of improving the coverage of network,and the performance of throughput.However,the resource allocation problem in hybrid network is still a challenge.This paper study the resource allocation problem under the hybrid network scene.In the first of this paper,we introduce the research status of hybrid network and computation offloading technology,energy harvesting technology.Then we propose a fair-guaranteed spectrum allocation algorithm of hybrid network.This algorithm insures the communication demand of both base station side and user side.Then in order to tackle the limit calculate ability of hybrid network,this paper combines the heterogeneous network with the computation offloading technology: to be specific,we propose a novel hybrid network model by employing the computation offloading technology.The resource allocation problem in this model is proven as a NP-hard problem,so this paper proposes a suboptimal algorithm based on the convex optimization to solve the resource allocation problem.It is shown that the proposed algorithm can improve the system's delay performance.Moreover,with the purpose of break the bottleneck of limited energy performance of hybrid network,this paper proposes a novel hybrid network model with energy harvesting technology.In this model,we consider both base station and user's communication demand to ensure the satisfaction degree of both side for the first time.And the resource allocation of this model is also a NP-hard problem.we still propose a suboptimal algorithm based on convex optimization to solve this problem.The algorithm can effectively improve throughput performance of system and satisfaction degree of both side.Finally,we apply both computation offloading technology and energy harvesting technology into a point-to-point communication system.An iterative method is applied to solve the energy allocation problem,our simulation results shown that this model can improve the data processing performance.The last chapter summarizes the whole work of this paper,and introduces the possible research directions in the future.