Research On Path Selection Algorithm For Wireless Multi-hop Relay Cellular Network

With the rapid development of wireless communication technology in recent years, thethird generation mobile communication system has been applied already, and the fourthgeneration mobile communication system is gradually becoming the focus in both industryand academia. The fourth generation mobile communication system integrates the multiplekinds of communication system. It will be consisted of a variety of access networks andsupport the seamless communication with a variety of business. In such communicationsystem framework, the multi-hop relay cellular network with the unique flexibility andscalability will become an important part of the communication system framework. Multi-hoprelay cellular network is integration of cellular network and ad-hoc network, and introducesthe ad-hoc communication mode in cellular network. Multi-hop relay cellular network allowsthe mobile stations to communicate with each other by multi-hop relay directly, and evenconstruct local subnet. The topology of multi-hop relay cellular network is complex becauseof relay station, and the network access method for mobile subscriber station is changed.Mobile subscriber station doesn’t only communicate with base station directly, but alsocommunicates with base station through multi-hop relay station. There are differenttransmission path coexisted in network. Therefore, the path selection problem must be solvedwhile these several communication modes can meet the mobile user’s demand. This paperfocuses on path selection algorithm research for multi-hop relay cellular network with fixedrelay, the main content are as following several sides,1, This paper proposes multiple optimization path selection algorithm based on the analysisof multi-hop relay cellular network path selection algorithm research, which can optimizenetwork performance and let mobile users get better experience.2, This paper firstly establishes the map between the QoE and QoS parameters to buildQoE evaluation level objective function from mobile user’s benefit. Secondly, build networkchannel capacity objective function from optimizing network performance, so as to model thepath selection as multiple objective optimization problem. At last, the Nash theorem system incooperative game theory is used to solve the solution of the MOOP to select the besttransmission path.3, The simulation result expresses the proposed algorithm in this paper can guarantee betterQoE, lower average packet delay and higher system throughput, etc.