Communication decisions in multi-agent cooperation: model and experiments
Proceedings of the fifth international conference on Autonomous agents
Antennas and Propagation for Wireless Communication Systems
Antennas and Propagation for Wireless Communication Systems
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Cooperative negotiation for soft real-time distributed resource allocation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Degree of Local Cooperation and Its Implication on Global Utility
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
P-CPICH Power and Antenna Tilt Optimization in UMTS Networks
AICT-SAPIR-ELETE '05 Proceedings of the Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop
Local negotiation in cellular networks: from theory to practice
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
Defining 4G technology from the users perspective
IEEE Network: The Magazine of Global Internetworking
Collaborative Load-Balancing in Storage Networks Using Agent Negotiation
CIA '08 Proceedings of the 12th international workshop on Cooperative Information Agents XII
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This paper describes a novel programmatic approach to efficiently distribute resources in a dynamic cellular network, using local negotiations. Our proposed mechanism is reactive and facilitates parallel self-adaptation efforts, leading to dynamics that improve overall network performance. The local nature of the negotiations being performed as part of the adaptation process enables frequent changes in the network's parameters with a negligible coordination overhead. The results of our experiments suggest rapid adjustment to changes and overall improvement over time in the number of users served by the network. We evaluate our algorithm based on the service level index, measured by the number of covered handsets. Nevertheless, the proposed algorithm supports any set of parameters and any combination of performance measures supplied by service providers.