Optimal LAS rceiver in massive MIMO system

This paper is aimed at solving the intrinsic problem named partial minimum solution of LAS detection algorithm in massive MIMO system under the circumstance of channel state information is known in transmitting terminal, and presents a modified detection algorithm based likelihood ascend search(LAS). On the basic of conventional LAS detection algorithm, this modified detection algorithm searches the neighbor vector of current solution vector at random as original solution vector in the next iteration. Besides, this modified detection algorithm adopts the rule of dynamic iteration time to control the time of iteration in the signal detection of Massive MIMO system. Both of theory deduction and simulation result indicate that the modified detection algorithm based on LAS overcomes the problem of partial minimum solution so that the performance of BER is improved, meanwhile, the complexity of computation is reduced to raise the operating efficiency.