Friday 31 January 2025
The quest for more efficient wireless communication has led scientists to explore a new approach that combines sensing and communication in one system. This innovative technology, known as near-field integrated sensing and communication (NF ISAC), uses the same beams used for communication to detect objects or targets.
Researchers have developed a flexible rate-splitting multiple access (FRSMA) scheme that leverages preconfigured beams to support additional target sensing. The FRSMA approach allows users to decode a common stream, which is shared among multiple users, and private streams, which are specific to each user. By selecting the right users to decode the common stream, the system can effectively manage interference and improve overall performance.
To optimize the FRSMA scheme, scientists have developed an iterative optimization algorithm that jointly optimizes power allocation, common rate allocation, and user selection. The algorithm is designed to minimize the Cramer-Rao bound (CRB), which measures the accuracy of target sensing.
In simulations, the FRSMA scheme outperformed traditional rate-splitting multiple access (RSMA) and space-division multiple access (SDMA) in terms of CRB. The FRSMA approach reduced the estimation error for distance and angle by approximately 100% and 20%, respectively.
The potential applications of NF ISAC are vast, from surveillance systems to smart homes. By combining sensing and communication in one system, researchers hope to create more efficient and effective wireless networks.
Cite this article: “Integrated Sensing and Communication Technology Enhances Wireless Performance”, The Science Archive, 2025.
Wireless Communication, Near-Field Integrated Sensing, Communication Systems, Rate-Splitting Multiple Access, Frsma, Target Sensing, Iterative Optimization Algorithm, Cramer-Rao Bound, Crb, Estimation Error, Nf Isac
