In this article, we study an industrial Internet of Things (IIoT) network with a sink/gateway that is capable of decoding multiple transmissions via successive interference cancellation (SIC), and energy harvesting devices tasked with providing complete targets coverage of targets. In particular, we study a novel question: how to schedule the sensing and transmission of these devices to ensure complete target coverage over time? We outline a mixed integer linear program (MILP) and two heuristic solutions that jointly optimize the active time and transmit power of devices. Our simulation results show that the complete targets coverage lifetime of our heuristic solutions is within 80% of the optimal complete targets coverage lifetime, as computed by MILP.
This paper investigates the performance of uplink massive multiple-input multiple-output (MIMO) systems with low-resolution analog-to-digital converters (ADCs) operating over Rician fading channels. We study zero-forcing (ZF) group successive interference cancellation (GSIC) receivers, which cover the ZF and ZF-SIC receivers as two special cases. The spectrum efficiency (SE) is analyzed for general power allocation under both perfect and imperfect channel state information (CSI). We further derive the optimal power allocation for a given quality-of-service (QoS) for the GSIC receivers. Based on random matrix theory, the corresponding asymptotic approximations of the signal-to-interference-plus-noise-ratio (SINR) for the system and the power allocation are derived for both perfect and imperfect CSI. The derived approximations are verified and shown highly accurate, providing fast characterization of the performance and near-optimal resource allocation for different system parameters. Th
Indoor coverage is a challenge for telcos or system integrators: whether small or medium sites, the work of RF design, device tuning, antenna installation, cable laying, and various passive components must be set in the right correctly to be easily positioned for future maintenance, resulting in continued project maintenance.