Applying emergent self-organizing behavior for the coordination of 4G networks using complexity metrics
✍ Scribed by Lester T. W. Ho; Louis G. Samuel; Jonathan M. Pitts
- Publisher
- Institute of Electrical and Electronics Engineers
- Year
- 2003
- Tongue
- English
- Weight
- 331 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1089-7089
No coin nor oath required. For personal study only.
✦ Synopsis
Future fourth-generation (4G) wireless networks are expected to have an ad hoc, dynamic structure with cheap, ubiquitous, low-powered nodes that are autoconfigurable and flexible. Controlling such a network means coping with uncertainty, not only of traffic demand, but also in the network structure. Because of this, a new approach to the control and coordination of 4G networks will be needed, one that replaces centralized with highly decentralized control. One promising approach is to view networks as self-organizing systems comprising simple interacting nodes that rely on emergent behavior to provide network-wide coordination. However, such networks are often difficult to predict or manipulate, due to their distributed nature. This paper describes the use of an entropy-based complexity metric to investigate and manipulate the behavior of such self-organizing systems in mobile networks. We introduce a self-organizing algorithm for cell dimensioning, and apply the complexity metric to extract information on network-wide behavior. We then introduce a framework for using the metric to manipulate emergent self-organizing behavior in 4G networks.