Optimization techniques for large scale multiantenna system and RIS enabled integrated sensing and communications
Modern 5G and emerging 6G wireless systems are characterized by massive connectivity with mobile devices, sensors, and actuators operating in a densely packed electromagnetic spectrum. Integrated Sensing and Communications (ISAC) systems are prime examples of complex systems subject to modeling deficits that call for creating awareness of the operational environment through sensing and learning, followed by optimization and adaptation of design variables using structured optimization and reinforcement learning. ISAC systems will be one of the genuinely new and transformative technologies considered in future 6G development that distinguish them from 5G systems.
In the research Optimization Techniques for Large Scale Multiantenna System and RIS enabled Integrated Sensing and Communications, Professor Visa Koivunen from Aalto University and Professor Sundeep Prabhakar Chepuri from the Indian Institute of Science (IISc) aim to develop reinforcement learning theory, methods, and algorithms for ISAC systems using multiantenna transceivers and Reconfigurable Intelligent Surfaces (RIS)s. RISs can modify the harsh propagation environment and establish reliable communication links and enable ISAC. According to Professor Koivunen, “the developed methods optimize the employed waveforms, the use of resources, and degrees of freedom in spatial, frequency, and time-domain, and find optimal precoding and decoding methods to manage interferences”.
The research is organized into two learning methods composed of RIS-assisted integrated sensing and communications, and reinforcement learning and online optimization for a large-scale multiantenna system that enables ISAC. The research team will also organize online seminars, lectures, and short courses for graduate students participating in the India-Finland collaborative research program.
Learning and Online Optimization Techniques for Large Scale Multiantenna System and RIS enabled Integrated Sensing and Communications is seed-funded as part of the India Pilot initiative from the Finnish Ministry of Education and Culture. Aalto is coordinating the India Pilot Network FICORE (Finnish Indian Consortia for Research and Education) which involves 38 higher education institutions from Finland and India.