Distributed Algorithms for Robust Self-deployment and Load Balancing in Autonomous Wireless Access Networks
- 1 January 2006
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4, 1927-1932
- https://doi.org/10.1109/icc.2006.255002
Abstract
The deployment and configuration of wireless access networks represents an increasing cost factor. This problem is addressed with the novel concept of a self-deploying network, which is able to autonomously identify the need of changes in position and configuration of wireless access nodes and adapt the network to its environment. Distributed algorithms for selfdeployment and load balancing are proposed that improve both, network performance and convergence speed over previous work. It is shown that self-deploying networks using the proposed algorithms are able to significantly outperform statically deployed networks in environments with dynamic user demand and provide robustness against failing nodes.Keywords
This publication has 10 references indexed in Scilit:
- Efficient modelling of channel maps with correlated shadow fading in mobile radio systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Autonomous Self-deployment of Wireless Access Networks in an Airport EnvironmentPublished by Springer Nature ,2006
- Self-deployment, Self-configuration:Critical Future Paradigms for Wireless Access NetworksPublished by Springer Nature ,2005
- The downlink orthogonality factors influence on WCDMA system performancePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Evolutionary multiobjective optimization for base station transmitter placement with frequency assignmentIEEE Transactions on Evolutionary Computation, 2003
- Demand-based radio network planning of cellular mobile communication systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Planning effective cellular mobile radio networksIEEE Transactions on Vehicular Technology, 2002
- An automated UMTS site selection toolPublished by Institution of Engineering and Technology (IET) ,2002
- Optimum positioning of base stations for cellular radio networksWireless Networks, 2000
- Swarm IntelligencePublished by Oxford University Press (OUP) ,1999