Affiliation:
1. KPR Institute of Engineering and Technology, India
2. VSB Engineering College, India
3. Thiagarajar College of Engineering, India
Abstract
The framework should work under both function cooperation and function convergence models, support cloud-network-terminal cooperation and convergence, and bring the basic radio capabilities of cooperative sensing, cooperative machine learning, and deterministic transmission with higher reliability and data rate. Integration of sensing and communication (ISAC) offers two advantages over dedicated sensing and communication functionalities: 1) gain in integration to more effectively use crowded resources and 2) gain in coordination to balance dual-functional performance. ISAC has lately been proposed for a variety of new applications such as automotive networks, environmental monitoring, remote sensing, IoT, smart cities, and indoor services such as human activity and gesture detection, all of which benefit from these two benefits. More crucially, ISAC has lately been highlighted as a key enabler for B5G/6G and next-generation Wi-Fi systems. The goal of this study is to figure out how sensing and communication can work together to give 6G new capabilities and services.
Reference11 articles.
1. Gaussian processes for learning-based indoor localization;A.Bekkali;IEEE Int. Conf. on Signal Processing, Communications and Computing (ICSPCC)
2. Radar Waveform Optimization for Joint Radar Communications Performance
3. A Survey on Detection, Tracking and Identification in Radio Frequency-Based Device-Free Localization
4. Koziol, M. (2019). Terahertz Waves Could Push 5G to 6G. Available: https://spectrum.ieee.org/tech-talk/telecom/wireless/at-the-6th-annual-brooklyn-5g-summit-some-eyes-are-on-6g
5. IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System