The Non-uniform Constellation Optimization Design of MQAM Modulation Based on Lion Swarm Optimization

Aiming at the problem that the communication system error rate cannot reach the optimal when using the traditional uniform constellation QAM modulation, this paper proposes the non-uniform constellation MQAM modulation based on lion swarm optimization. By comparing the constellation images and error rate before and after optimization of 16QAM, 64QAM, 256QAM and 1024QAM, verify the feasibility and superiority of the lion swarm optimization in the non-uniform modulation. The algorithm takes the bit error rate as the fitness function, and outputs the constellation diagram and iteration curve through two layers of iteration. Compared with uniformly modulated constellations. The non-uniformly modulated constellations optimized by lion swarm optimization show a phenomenon of density in the middle and dispersion around the periphery, and this phenomenon becomes more obvious with the increase of the modulation order, which is similar to the 1D-NUCs proposed by ATSC3.0. The bit error rates of 16QAM, 64QAM, 256QAM and 1024QAM are all reduced to different degrees by comparing the bit error rates before and after optimization.