Group Detection And Decoding For Interference Channel And Its Application

TD-LTE and FDD-LTE have already turned into the standards of wireless communications for 4G. And they are in the commercial stage currently. However, we not only pursue the improvement of transmission rate, but also turn our attention to enhanced coverage. Under the premise of ensuring communication quality, we should achieve the covering without blind area. How to eliminate interference is a problem need to be addressed quickly, especially under the interference channels.The main research in this thesis is what can the receiver does under the interference channels to mitigate interference and improve the performance of wireless communications. Based on the traditional methods of suppression interference, this thesis focuses on the analysis and research of the GDD. At the same time, we also investigate its principle and capability. Compared with the traditional methods such as MMSE and ZF and so on, the distinctive is that the GDD can make use of the whole or fractional information of the interference, instead of considering the interference as background noise.In this thesis, we consider that all transmitters execute channel coding, interweave and modulate respectively, then superposition the symbols and send them out. The target receiver must extract the target data from the received signal. In view of this, we should deal with some interference before obtaining the target data. So we ought to know two things before detecting the signal. One thing is that the target receiver should know what the interference are processed and what the interference are regarded as background noise. The other thing is that the target receiver should know what data should detect jointly in each processing stage. Therefore, the problems we solve are:(1) Determine the maximum decodable user group in a given transmission rate. Thereby the target receiver can process the data in this group.(2) How to grouping the users can acquire the minimum outage probability.(3) Determine the appropriate group and the size of group that can guarantee the target receiver gets good performance.(4) The transmission rate is also discussed in this thesis. Only certain transmission rate is met, can receiver achieve the prospective BER.(5) This thesis uses the quantization table of rate when we select the mode of modulation. So the quantization table based on the feedback rate is introduced and simulated briefly.(6) We can attain a grouping scheme after solve the problems mentioned above. Next we should process this group. This thesis discussed some linear methods between groups, such as ZF equalization, MMSE equalization and maximum SINR equalization. Two main methods are used within the group, for instance, joint ML detection and LMMSE detection based on iteration.(7) Some specific applications of GDD are also presented simply at the end of this thesis.