A behavioral-based multi-agent optimization algorithm for system level radio design |
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Authors: | Delia Rodríguez de Llera González Ana Rusu Mohammed Ismail |
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Affiliation: | (1) Royal Institute of Technology (KTH/ICT/ECS), Stockholm, Sweden;(2) Firstpass Technologies, Dublin, OH, USA |
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Abstract: | This paper introduces a multi-agent behavioral-based optimization algorithm for system level radio design. Making multi-standard
wireless communication receivers that meet their specs while keeping the requirements of the individual blocks as relaxed
as possible is the goal of this algorithm. In order to achieve this goal a “divide and conquer” approach is proposed. Different
agents focus on different objectives that are pursued in parallel. Agents adopt different behaviors depending on the status
of the environment and their interaction with other agents. Agents are cooperative by default as they try to meet their spec
without making changes that affect other agents. However, more aggressive behaviors that lead to global changes can be adopted
when needed. The interaction between these simple entities yields an emergent behavior able to deal smoothly with the complexity
of the problem at hand. |
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Keywords: | |
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