JOURNAL ARTICLE

Joint Routing and Radio Resource Management in Multihop Cellular Networks Using Particle Swarm Optimization

Mohamed SaadSanaa A. Muhaureq

Year: 2011 Journal:   Intelligent Automation & Soft Computing Vol: 17 (1)Pages: 61-70   Publisher: Taylor & Francis

Abstract

Abstract Given a multihop cellular network with fixed relays, this paper considers the problem of jointly selecting (possibly multiple) routing paths for each communication session and allocating transmit powers and bandwidth across all network links, such that the total network utility (i.e., social welfare) is maximized. This paper focuses on quality of service (QoS-) sensitive applications that are captured by sigmoidal-like utility functions. The non-concavity of the user utility functions, the complex relation between routing decisions and network resource allocation, and the dependence of link capacities on all interfering powers render the problem non-convex, and extremely difficult to solve. However, we present ameta-heuristic based on particle Swann optimization that solves the problem successfully, efficiently and globally.

Keywords:
Computer science Particle swarm optimization Joint (building) Computer network Routing (electronic design automation) Distributed computing Algorithm

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Citation History

Topics

Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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