Combined phase-difference and amplitude-comparison technique for Wi-Fi direction-finding with high angular sensitivity and ambiguity mitigation in a wide field of view

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104711 - 104711

Published: March 1, 2025

Language: Английский

Heterogeneous cyber-physical network coexistence through interference contribution rate and uplink power control algorithm (ICR-UPCA) in 6G edge cells

Internet of Things, Journal Year: 2023, Volume and Issue: 25, P. 101031 - 101031

Published: Dec. 23, 2023

Optimizing power control for interference mitigation at the network cell edge is pivotal in enhancing capacity within a heterogeneous cyber-physical infrastructure, such as smart cities, manufacturing, healthcare, energy grids, transportation, and agriculture, among others. In this paper, we consider intricate dynamics of Internet Things (IoT) 5/6G users, with particular focus on Interference Contribution Rate (ICR), where macro femtocells are critical infrastructures. Existing approaches has drawbacks computational complexity, overhead, co-channel interference, However, to fully address challenges from coexistence diverse hierarchies, preserving Quality Service femtocell users prioritized. The paper concurrently enhances handoff mechanism network. A two-tier (HetNet) utilized initially assess contribution user equipment (UE) levels during its active state while quantifying it ICR. Game theory used formulate cohesive model (MUE) (FUE). ICR-based uplink reference signal received quality (RSRQ)-based algorithms deployed regulate enhance Signal-to-Interference-Noise Ratio (SINR) MUE edge. This achieved through coordinated transmit adjustments by both types. Results indicate 6.67% channel loss (interference tolerance) FUE, leading 12.5% improvement, translating approximately 4 Mbps 1 enhancements, respectively. FUE can effectively coordinate minimal accepting compromises quality. approach facilitates improved data access rates ensuring preservation FUE. We show that successfully mitigated network, fostering enhanced lower complexity.

Language: Английский

A Hybrid Particle Swarm Optimization and Simulated Annealing with Load Balancing Mechanism for Resource Allocation in Fog-Cloud Environments

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 172439 - 172450

Published: Jan. 1, 2024

Language: Английский