CF-mMIMO Aided Dynamic Networks: Transforming Communication Landscape
摘要
The next wireless generation promises to metamorphose human-machine interaction and connectivity. The relevance of the sixth generation (6G) lies in the extension of connectivity, the resolution of security and privacy concerns, and the reduction of latency by integrating artificial intelligence (AI). Cell-free massive multiple-input-multiple-output (CF-mMIMO) is a pioneering technology of 6G that helps address the unprecedented challenges of next-generation wireless communication. Cell-Free (CF) architecture envisions each user communicating with all access points (APs) in a network with effective coordination at the core for improved spectral (SE) and energy efficiency (EE). Currently, unmanned aerial vehicles (UAVs) have also garnered significant attention in the field of communication due to their numerous advantages. This paper analyzes the performance of a dynamic UAV-aided CF-mMIMO network in a downlink (DL) scenario. The UAVs are used as aerial access points (AAPs), and their behavior is modeled using the Random Way Point (RWP) mobility model. We analyze a system with terrestrial access points (TAPs) and aerial access points (AAPs), which serve user equipment (U) simultaneously without cellular boundaries. Due to the increased number of serving stations, inter-cell interference (ICI) is further enhanced. A comparative analysis depicts a trade-off between SE and EE for a dynamic network.