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This paper tackles the problem of the simultaneous interference among themultiple users in the downlink of a wireless multiantenna system. In order toexploit the multiuser interference and transform it into useful power at thereceiver side, symbol-level precoding is utilized through joint exploitation ofthe data from each individual user and the channel state information. Thispaper introduces a complexity reduction scheme that exploits the constellationssymmetry to reduce the number of possible calculations and the number ofconstraints in the symbol-level optimization problem. This paper also proposesa new transmission technique that jointly optimizes the transmit symbol-levelprecoding and the constellation rotation of the data stream for each user. Thepurpose is to increase the probability of having constructive interference, andthus better performance. We focus on improving the energy efficiency byreducing the required power to satisfy certain quality of service constraintsthrough solving a symbol-level precoding problem and finding the optimal phaseby which each user constellation should be rotated. This problem is non-convex,therefore, we propose an efficient branch-and-bound algorithm combined withsemidefinite relaxation to solve the problem and find an efficient solution.Numerical results are presented in a comparative fashion to show theeffectiveness of the proposed technique, which outperforms the state-of-the-artsymbol-level precoding schemes in terms of energy efficiency, and powerconsumption.

Joint Constellation Rotation and Symbol-level Precoding Optimization in the Downlink of Multiuser MISO Channels