Study And Design Of Low Complexity Massive MIMO Signal Detection Technique

An emerging trend in large scale multiple-input multiple-output(MIMO)system enables better reliability and spectral efficient than conventional(small scale)MIMO system.To meet higer demand of internet users over wireless communication in the era of fifth-generation(5G),we need to increase user capacity and better effeiency which can fulfill the exponential growth of wireless internet devices.Therefore,the main purpose is to equip the hundreds of base station(BS)and user antennas connected simultaneously over the same frequency band.But in practice,a massive MIMO system faces many challenges:one of the major challenge is signal detection at the receiver side due to a large number of antennas.The linear detection(i.e.zero force and linear minimum mean square(LMMSE))are considered to be near optimal performance for signal detection but these are not feasible for a large number of antenna system.The computational complexity of linear detection techniques increases by increasing the number of antennas due to higher order matrix inversion operations.To overcome larger matrix inversion operation,the iterative based signal detection techniques used for MIMO system but still there is need to improve system performance and practical implementation of large scale MIMO system.In this thesis,a M-MIMO signal technique is developed to avoid large scale matrix inversion and practically feasible for a very large number of antenna systems which reduces computational complexity.A new proposed low computational complexity and higher signal detection accuracy is based on Jacobi and Richardson method.Normally it is difficult to calculate perfect initial solution for conventional Richardson iteration method.In this work,the initial solution is antenna dependent which is more efficient and performs better than existing zero initial solution and approximated eigenvalues are used to calculate relaxation parameters which increases convergence rate.Proposed method shows outstanding performance at lower BS to user antenna ratio(BUAR).The system performance is compared by symbol error rate(SER)at different BUAR.It demonstrates that the system accuracy increases by increasing number of iterations and for smaller BUAR the SNR increases but proposed method shows better performance which is near to LMMSE.