Cross-Technology Interference: Detection, Avoidance, and Coexistence Mechanisms in the ISM Bands
A large number of heterogeneous wireless networks share the unlicensed spectrum designated as the ISM (Industry, Scientific, and Medicine) radio band. These networks do not adhere to a common medium access rule and differ in their specifications considerably. As a result, when concurrently active, they cause cross-technology interference (CTI) on each other. The effect of this interference is not reciprocal, the networks using high transmission power and advanced transmission schemes often causing disproportionate disruptions to those with modest communication and computation resources. CTI corrupts packets, incurs packet retransmission cost, introduces end-to-end latency and jitter, and make networks unpredictable. The purpose of this paper is to closely examine its impact on low-power networks which are based on the IEEE 802.15.4 standard. It discusses latest developments on CTI detection, coexistence and avoidance mechanisms as well on messaging schemes which attempt to enable heterogeneous networks directly communicate with one another to coordinate packet transmission and channel assignment.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Multi-Label Wireless Interference Identification with Convolutional Neural Networks
The steadily growing use of license-free frequency bands require reliable coexistence management and therefore proper wireless interference identification (WII). In this work, we propose a WII approach based upon a deep …
General ClassificationManagementEmerging NGSO Constellations: Spectral Coexistence with GSO Satellite Communication Systems
Global communications have undergone a paradigm shift with the rapid expansion of low-earth orbit (LEO) satellite constellations, offering a new space era of reduced latency and ubiquitous, high-speed broadband internet …
ManagementInterference Prediction in Wireless Networks: Stochastic Geometry meets Recursive Filtering
This article proposes and evaluates a technique to predict the level of interference in wireless networks. We design a recursive predictor that estimates future interference values by filtering measured interference at a…
ManagementSchedulingReal-time Interference Identification via Supervised Learning: Embedding Coexistence Awareness in IoT Devices
Energy sampling-based interference detection and identification (IDI) methods collide with the limitations of commercial off-the-shelf (COTS) IoT hardware. Moreover, long sensing times, complexity and inability to track …
Radio Access Technology Characterisation Through Object Detection
\ac{RAT} classification and monitoring are essential for efficient coexistence of different communication systems in shared spectrum. Shared spectrum, including operation in license-exempt bands, is envisioned in the \ac…
General ClassificationObjectobject-detectionObject Detection