Dynamic optimization in future cellular networks
Article first published online: 3 AUG 2005
© 2005 Lucent Technologies Inc.
Bell Labs Technical Journal
Special Issue: Future Wireless Communications
Volume 10, Issue 2, pages 99–119, Summer 2005
How to Cite
Borst, S. C., Buvaneswari, A., Drabeck, L. M., Flanagan, M. J., Graybeal, J. M., Hampel, G. K., Haner, M., MacDonald, W. M., Polakos, P. A., Rittenhouse, G., Saniee, I., Weiss, A. and Whiting, P. A. (2005), Dynamic optimization in future cellular networks. Bell Labs Tech. J., 10: 99–119. doi: 10.1002/bltj.20096
- Issue published online: 3 AUG 2005
- Article first published online: 3 AUG 2005
- Manuscript Accepted: APR 2005
With multiple air-interface support capabilities and higher cell densities, future cellular networks will offer a diverse spectrum of user services. The resulting dynamics in traffic load and resource demand will challenge present control loop algorithms. In addition, frequent upgrades in the network infrastructure will substantially increase the network operation costs if done using current optimization methodology. This motivates the development of dynamic control algorithms that can automatically adjust the network to changes in both traffic and network conditions and autonomously adapt when new cells are added to the system. Bell Labs is pursuing efforts to realize such algorithms with research on near-term approaches that benefit present third-generation (3G) systems and the development of control features for future networks that perform dynamic parameter adjustment across protocol layers. In this paper, we describe the development of conceptual approaches, algorithms, modeling, simulation, and real-time measurements that provide the foundation for future dynamic network optimization techniques. © 2005 Lucent Technologies Inc.