# Optimization for MIMO Integrated Sensing and Communications

**Authors:** Lie-Liang Yang  
**arXiv:** [2403.14495](https://arxiv.org/abs/2403.14495)  
**Date:** 2024-03-21  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2403.14495v1/

## Key points

- Fundamentals of MIMO communications and sensing are examined
- Different signaling waveforms are necessary for communication and sensing capacities
- Optimization of integrated sensing and communications (ISAC) requires a trade-off between communication and sensing performance
- Design and resource optimization strategies for general MIMO ISAC systems are discussed
- Design of ISAC in mmWave communications is explored, establishing the principle of sensing in these systems
- Optimization alternatives for ISAC design in mmWave systems are reviewed to enhance efficiency and effectiveness

## Summary

In the book chapter "Optimization for MIMO Integrated Sensing and Communications" by Lie-Liang Yang, the fundamentals of MIMO communications and sensing are thoroughly examined. The analysis reveals that different signaling waveforms are necessary to achieve the respective capacities of communications and sensing. Therefore, optimizing integrated sensing and communications (ISAC) requires striking a trade-off between communication and sensing performance. The chapter also delves into design and resource optimization strategies for general MIMO ISAC systems, shedding light on existing schemes. It further discusses the design of ISAC in mmWave communications, establishing the principle of sensing in these systems. Various optimization alternatives for ISAC design in mmWave systems are meticulously reviewed, providing valuable insights into enhancing the efficiency and effectiveness of integrated sensing and communication technologies in modern wireless communication systems.