Application of Asynchronous Weak Commitment Search in Autonomous Quality of Service Provision in Cognitive Radio Networks

TL;DR

This paper introduces a distributed AI-based approach using asynchronous weak commitment search for autonomous QoS provisioning in cognitive radio networks, demonstrating fast convergence suitable for real-time applications.

Contribution

It applies asynchronous weak commitment search to distributed QoS management in cognitive radio networks, enabling autonomous and efficient resource allocation.

Findings

Fast convergence to optimal solutions in simulations

Applicable to real-time and decentralized systems

Potential for use in IoT and LTE-SONs

Abstract

This article presents a distributed solution to autonomous quality of service provision in cognitive radio networks. Specifically, cognitive STDMA and CDMA communication networks are studied. Based on asynchronous weak commitment search the task of QoS provision is distributed among different network nodes. Simulation results verify this scheme converges very fast to optimal solution, which makes it suitable for practical real time systems. This application of artificial intelligence in wireless and mobile communications can be used in home automation and networking, and vehicular technology. The generalizations and extensions of this approach can be used in Long Term Evolution Self Organizing Networks (LTE-SONs). In addition, it can pave the way for decentralized and autonomous QoS provision in capillary networks that reach end nodes at Internet of Things, where central management is either unavailable or not efficient.