Communication decisions in multi-agent cooperation: model and experiments
Proceedings of the fifth international conference on Autonomous agents
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
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
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
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This paper describes a novel negotiation protocol for cellular networks, which intelligently improves the performance of the network. Our proposed reactive mechanism enables the dynamic adaptation of the base stations to continuous changes in service demands, thereby improving the overall network performance. This mechanism is important when a frequent global optimization is infeasible or substantially costly. The proposed local negotiation mechanism is incorporated into a simulated network based on cutting-edge industry technologies. Experimental results suggest a rapid adjustment to changes in bandwidth demand and over-all improvement in the number of served users over time. Although we tested our algorithm based on the service level, which is measured as the number of covered handsets, our algorithm supports negotiation for any set of parameters, aiming to optimize network's performance according to any measure of performance specified by the service provider.