Optimizing the Sum Rate and SER of Integrated Sensing and Communication Systems

We explore the waveform design problem of a multi-input multi-output (MIMO) integrated sensing and communication (ISAC) system, which minimizes the weighted sum of downlink multi-user interference (MUI) energy and directional beampattern dissimilarity under the total power constraint. To solve the optimization problem, we adopt the alternating direction method of multipliers (ADMM). The ADMM algorithm solves this optimization problem by decomposing the original optimization problem into smaller and easier-to-solve subproblems. Numerical results show that the proposed scheme is superior to the low-complexity algorithm in average sum rate performance and the symbol error rate (SER) performance.