Research And Implementation Of Physical Uplink Control Channel In Access Network Of 5G

Along with the rapid development of mobile communication technology and the rapid popularization of intelligent terminals,the fifth generation mobile communication(5G)system came into being.The physical uplink control channel(PUCCH)is carrying uplink control information(UCI),which plays an important role in the system to transmit and receive data correctly,so it is very important to research PUCCH of 5G.This thesis mainly researches PUCCH of 5G system,and focuses on the development of algorithm of PUCCH receiver.The main works and innovations are as follows:1.This thesis proposes a blind detection algorithm based on cross-correlation for the case of mapping UCI to sequence shift value.The simulation results show that the proposed algorithm can effectively get UCI,on the other hand,the performance gain of signal noise ratio(SNR)is about 2～2.5d B while using double symbols than using single symbol.2.The channel estimation algorithm of PUCCH receiver is researched by this thesis.This thesis proposes a low complexity LMMSE channel estimation algorithm.This algorithm transforms the inverse matrix problem into the solution problem of linear equations of the cauchy matrix,thus avoiding the inverse matrix problem.Compared with LMMSE algorithm based on singular value decomposition(SVD),the proposed low complexity LMMSE algorithm has about 1d B performance gain in bit error rate(BER)performance,which is almost the same as traditional LMMSE algorithm.At the aspect of computational complexity,the complexity of traditional LMMSE algorithm is reduced from three orders to two orders,which is beneficial to the project.3.This thesis proposes multi-users channel estimation algorithm for pucch format4.The algorithm designs a special signal matrix based on orthogonal characteristics of demodulation reference signals(DMRS)between different users,then four solutions are proposed based on the signal matrix combined with traditional single-user channel estimation and interpolation algorithms.The simulation results show that the proposed multi-users channel estimation algorithms can get UCI correctly.In the proposed algorithms,the linear interpolation channel estimation based on least square(LS)algorithm has the lowest complexity,and has been applied to the project.4.The realization scheme of digital signal processor(DSP)chip is given for PUCCH link.This thesis focuses on the implementation of blind detection algorithm and channel estimation.On the other hand,the BER in DSP implementation is compared with MATLAB simulation and the application value of proposed scheme in project implementation is verified from three aspects: algorithm performance,memory occupancy and time occupancy.