Research On Technology Of Joint Channel And Network Coding Based On Complex Field

As the modern wireless mobile communication technology develops rapidly, as terminal users, we can enjoy a wide variety of different forms of information and communication services. But the wireless resources of information and communication are not inexhaustible, then as scientific research workers we will have to take a variety of ways to meet people's huge use demand. Among the various technologies to improve wireless communication resources, relay technology has played a remarkable role.The development and widely application of network coding also further improve the wireless spectral efficiency of communication network system.All these new technology has greatly improved and enhanced the performance of communication system.As the significant performance loss brought from the complexity and variability of general radio communication channel, traditional network coding requests a relatively low channel error rate to ensure the validity and reliability of the communication system. Thus the scheme of joint network coding and channel coding can greatly improve the performance of wireless communication system. In our research, joint channel and complex field network coding is one of such new technology.In this paper, we proposed a new scheme of jointly designed and optimized channel coding and complex field network coding. Of course,we also make some in-depth theoretical study and simulation analysis. Our main research work and innovation of this study include:First, for the major problem in Galois field network coding affected by the limited number of users, this paper designed a joint channel coding complex field network coding scheme. We study the performance of this new method when combined with convolution codes, Turbo codes and LDPC codes. Second, based on the traditional multi-user detection methods and maximum likelihood detection algorithm, we designed a belief propagation algorithm based on complex field (BP) for network.decode, which can strengthened the network detection ability and reduced the detection complexity of complex field network coding. Thus it can be more easily applied to actual communication.Third, channel coding techniques and complex field network coding was studied separately and independently in the past, instead in our subject we combine them together and introduced an iterative decoding mechanism between them. Fourth, with the help of the user clustering strategy and relay selection strategy, we make it possible for the application of complex field network coding extend from small. scale network to large scale intensive networks.Therefore, the new scheme taking the channel coding technology and complex field network coding technology into consideration, can make the most of channel coding gain, network coding gain and diversity gain.. And also further improve the performance of the wireless communication system and extend the application scenarios of CFNC from small scale to large scale network. Simulation results show that our new scheme can achieve better performance, and meet the development needs of the future communications.