Research Of Dynamic Resource Management And Allocation Algorithm In Cognitive Radio Networks

With the rapid development of signal process and integrated circuit technologies, wireless communication has obtained unprecedented progress,but now,the wireless communication is facing a new challenge,the scarcity of radio spectrum.The concept of Cognitive Radio(CR) which proposed by J.Mitola open up a new road for us to walk away from this dilemma in theory.As a new radio design idea,it emphasizes the radio's intelligent and efficiency resource utilization.While the efficacious resource utilization depend on a good resource management system and efficiency resource allocation algorithm.Relay on the NSF project which named 'The topology management,MAC mechanisim and adaptive resource allocation of Cog-MESH network', this paper focus on the research of Cognitive Radio Network(CRN) resource allocation algorithms.(1)Summarized the basic principles of cognitive radio and the crucial technologies. The fundamental difference between CRN and traditional wireless network is the special spectrum resource sharing models, include Interference Temperature based sharing, spectrum sensing based dynamic access sharing,trading and consult based access sharing.Outline the sticking points of designing CRN resource allocation algorithm and taxonomy and according to the different math modeling methods,we give the define of the CRN resource allocation.(2)Research the application of non-cooperative game theory in CRN resource allocation.We introduce some basic contents about Game theory,include the equilibrium, Pareto optimal,the methods of supplicate solution and some special game models. Then,we analysis the feasibility of using Game theory to study CRN resource allocation and summarize the research architecture of this method.We elaborate the basic principles of some classical non-cooperative game-based resource allocation algorithms and analysis their characters,such as NPG,NPGP,shadowing price based Super game mode and Potential game based model.At last,we proposed a non-cooperative game-based distribution power control algorithm and use the simulation to prove it works well.(3)Researching the CRN joint resource allocation algorithm.Consider the cluster- based distribution multi-hop CRN,we firstly describe the signification of studing the cluster-based cognitive radio network:the available channels for cognitive radio user are space diversity and time variably which need the network's cooperation but compare to multi-hop distribution cooperation,the cluster-based cooperation is much better. Then,we introduce some classical CRN joint resource allocation algorithm and analysis the characters and problems of these algorithms.At last,we proposed a joint resource allocation algorithm,because the optimization model which build is NP-hard,can't be solved in valid time,so we just find the feasibility solutions.The simulation result indicated that the solution of the algorithm depend on the amount of relay traffic. Especially, when most of the traffic need to be relay, for self-jamming and mutual interference restrictions at the cluster-head, there will be no solution of the algorithm.