Research On Key Technologies Of Radio Resource Management In Heterogeneous Wireless Converged Networks

Jointly motivated by service requirement and technical innovation, the evolution in diverse radio access technologies makes a heterogeneous networks situation now; however, any single radio access technology can not meet the all service requirement by users, and this motivates the diverse wireless networks moving towards the trend of efficient cooperation and convergence. Cooperation and convergence are emerging as two prominent characteristics in the evolution of future wireless communication system. Due to the differences in resource form and scheme of management and control, cooperation and convergence in heterogeneous networks are not simple summation, but effcient integration and utilization of heterogeneous network resource. Therefore, radio resource management is the key technology to realize the orderly organization and efficient utilization in heterogeneous wireless convergent networks.On the one hand, with a significant increase in user periphery wireless networks and terminals, and huge demand in network resource by convergent service, it is imperative that the cooperation among heterogeneous wireless networks and teminals to serve user with cooperatively providing service. In this case, how to effectively guarantte quality of service for the service in the cooperation of heterogeneous networks and terminals is the most important problem. On the other hand, considering the energy consumption of basestation in wireless access network occupying most part of the whole network, and overlapping deployment by diverse wireless networks and "Tide Effect" in user service request, there are enormous potentials of cooperative energy saving in heterogeneous wireless networks. Therefore, facing with the complex heterogeneous wireless environment, it is imperative to propose an efficient radio resource management scheme and algorithm for heterogeneous networks to solve the technical challenge of dynamic control and management in heterogeneous convergent wireless networks.To solve the problems above effectively, this dissertation focuses on the topic of radio resource management in heterogeneous convergent networks and does research on it. The dissertation is based on wireless control framework and functional element design in heterogeneous convergent networks, and starts from the cooperation of networks and terminals, discusses the radio resource mangement mechanism and algorithm in respect of cooperation in system, terminals and networks layers to attain the complete radio resource management architecture. The dissertation content and contribution are described as follows:Considering the requirements of cooperative transmission of networks and terminal in heterogeneous networks, this dissertation discusses resource control architecture in heterogeneous convergent network. In order to achieve the continues evolution of network architecture, the discussed resource control architecture in heterogeneous convergent networks is based on interworking architecture of heterogeneous networks, expands the element functions in existing newtorks and supports the cooperative concurrent transmission between heterogeneous networks and terminal users. The architecture introduces a cognitive plane, which supports network context information interaction, besides control plane and data plane in the traditional networks. The cognitive plane gets the context information from service domain, user domain, terminal domain and network domain to support the joint management and control in the manner of cross-domain and cross-layer among service, resource and link layers.Multi-radio access in heterogeneous networks can break through the restrictions of traditional single-radio access. In the scenario of multi-network cooperative transmission in parallel, the diverse capability of radio access networks would affect the transmission of multi-mode terminals data transmission in networks. In terms of uplink scenario in heterogeneous wireless networks multi-radio access, this dissertation proposes an algorithm for joint power and bandwidth allocation in heterogeneous networks. The algorithm can effectively solve the resource allocation problem of cooperative transmission in heterogeneous networks; moreover it can maximize the system capacity of heterogeneous networks while satisfying the QoS requirement of delay-contraint type serivce and best-effort type service. Comparing with the exsiting algorithm, the simulation results show that the proposed algorithm in this dissertation can not only significantly increase the system capacity of the heterogeneous networks, but also satisfy the user sevice QoS requirement in heterogeneous networks.Cooperative wireless access in heterogeneous wireless networks can effectively expand the coverage and improve the utilization in network resource, and how to allocate resource and encourage user terminals to participate the cooperative wireless access needs to be considered. Considering user terminals cooperative wireless access in hetergeneous networks scenario, this dissertation analyzes the utility and cost model in relay node with providing the cooperative wireless access service and client node with requesting the cooperative wireless access service in-depth. This dissertation proposes a Stackelberg game theoretic pricing based bandwidth allocation model, and it effectively improves the profit of relay node and resource utilization of heterogeneous networks. Comparing with the existing algorithm through the simulation, the proposed algorithm can allocate access bandwidth differetiately considering resource demand by different users, and encourages the relay nodes to providing cooperative wireless access for other user terminals.Due to the intensive overlapping coverage in heterogeneous networks and human activity patterns, the wireless network user service requirements fluctuate in time domain and space domain. According to the service load laws, the cooperative sleep scheduling can effectively conserve the energy consumption and improve the resource utilization in wireless networks. Considering the energy consumption problem in heterogeneous networks, this dissertation combines the feature of intensive overlapping coverage and user service requirement laws in heterogeneous networks. This dissertation firstly analyzes the time domain distribution rule of user requirement, then proposes a user service request load in heterogeneous networks based cooperative sleeping power-saving scheduling algorithm, which is based on the base station energy consumption model. The simulation results demostrate that cooperative sleeping power-saving scheduling algorithm can effectively dispatch the work mode of base station in terms of service requirement load law. Comparing with the tradational work mode and the benchmark algorithm, the proposed algorithm can effectively improve the network resource utilization and reduce the network system energy consumption significantly.A summary is given at the end to the whole dissertation, where the heterogeneous wireless convergent networks research related directions are also pointed out.