Summary: A wireless network can utilize its complete resources to serve users without sharing and offer services like enhancing spectral efficiency, and providing an unprecedented reliable performance without interference among users. Previous wireless communication technologies could not offer the full utilization of a network’s resources and overcome the challenge of forgoing scheduling. Therefore, to address these requirements and proclaim that a wireless network can utilize its full capabilities to serve every user in a network without sharing a shred of its resource, we propose a novel design known as PU-MIMO-ST (Precoded Universal MIMO Superposition Transmission) to provide usage of a network’s complete resources and capabilities to every user without any interference and sharing at all. This framework involves two geographically distributed antennas that serve two user equipments (UEs) concurrently with superimposed user data signals. The antennas termed antenna points (APs) form a link to a central processing unit (CPU) via a backhaul, and the UEs receive full cooperation from the network because the number of APs equals the number of UEs. Thus, the proposed design achieves the optimal usage of networks resources. The results obtained from the computer simulation point out the effectiveness of PU-MIMO-ST compared with other similar works in terms of reliability, throughput, reduced complexity on the reception side, and saving of power. Keywords: MIMO, multi-user MIMO, massive MIMO, network MIMO, distributed MIMO, distributed antenna system, multi-cell MIMO, DIDO, cell-free massive MIMO, pCell, 6G and Beyond.
Contributions of the Proposed PU-MIMO-ST Scheme:
a) The proposed work directly serves each user with the whole capacity of the network that includes bandwidth, several antennas, spectrum, etc., without any interference at all.
b) The number of antenna points (APs) is equal to the number of UEs, this results in dedicating the capacity of the network to every UE simultaneously.
c) The SE is also scaled up by utilizing a new way of superimposing the user data that has never been done before in CF-MMIMO systems.
d) Specially designed diagonal matrices are also utilized (for precoding and super-positioning of auxiliary signals) that focus on simplifying the complexity and reducing latency.