Abstract: Computing-in-memory (CIM) is an emerging technique to solve the memory-wall bottleneck. It can reduce data movement between memory and processor, and have significant power reduction in neural network accelerators, especially in edge devices. Communication system is facing the power issue and heat dissipation problem while implementaing the DSP algorithm with ASIC. It will have a great impact if CIM technique can be applied in communication systems to improve the energy efficiency. The talk will discuss computing-in-memory technique for communication systems. Some DSP modules (such as FIR, MIMO and FECs) will be re-organized and mapped onto computing-in-memory units as examples.