Abstract
The concept of self-organisation in wireless networks is introduced. The paper proposes planning and deployment cost, capacity, coverage, flexibility and future potential as the criteria by which wireless topologies and resource management strategies should be validated. It discusses numerous techniques that can be considered as self-organising and evaluates the suitability of these techniques in both macro- and microcellular environments. A standard 4-carrier GSM base station is used as the reference cellular technology. It is demonstrated that, by combining suitable techniques, a potential future capacity increase of one order of magnitude (13 times) is estimated in a microcellular environment. Substantial capacity increments can also be achieved in macrocellular networks. When the cost of both planning and deployment is considered, intelligent relaying together with environment adaptation are shown to perform well and could reduce the cost of future networks to a tenth of their current level
Translated title of the contribution | Self-organisation in Future Mobile Communication |
---|---|
Original language | English |
Article number | 3 |
Pages (from-to) | 133 - 147 |
Journal | Electronics and Communication Engineering Journal |
Volume | 12 |
Issue number | 3 |
Publication status | Published - Jun 2000 |
Bibliographical note
Rose publication type: Journal articleSponsorship: The work reported in this paper has been undertaken as a part of the BT Virtual University Research Initiative (VURI) project on mobility. The authors gratefully acknowledge the support from BT Labs,
Marllesham, Ipswich, and the other member universities: Birmingham University and Oxford University. They would also like to thank Dr. Mike Filton of Toshiba Research Europe UK. for his help on the evaluation of the technologies. The work on intelligent relaying was partly funded by the Virtual Centre of Excellence in Mobile and Personal Communications (Mobile VCE)
Keywords
- channel capacity
- costing
- microcellular radio
- network topology