Executive Summary : | This project focuses on improving the freshness of channel state information (CsI) in wireless networks for massive connectivity with high data rates and low latency. CsI errors are common due to estimation processes and the time-varying nature of channels, making it stale at the time of usage. The Age of CsIT (AoCsIT) is characterized by the time elapsed from the estimation time of the latest available CsIT. The project aims to improve AoCsIT for massive multiple input multiple output (MMIMO) transmission, which is a key enabling technology for 5G and beyond wireless networks. CsIT at MMIMO base stations can be obtained through channel reciprocity in time division duplex (TDD) mode or feedback from the receiver in frequency division duplex (FDD) mode. The aim is to devise intermittent CsIT update algorithms to reduce signalling overhead while maintaining AoCsIT in both TDD and FDD modes of MMIMO networks. The project incorporates recent advancements in cell free MMIMO and reflecting intelligent surfaces (RIs) to maintain AoCsIT. It also proposes utilizing spatial correlation and a-priori information, such as visual/satellite images, to improve the freshness in CsIT for all active network users. The developed algorithms will be implemented on a MIMO testbed built using universal software radio peripheral (UsRP) devices to demonstrate their practical viability. |