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首页> 外文会议>IEEE International Military Communications Conference >COGNITIVE RADIO TESTBED: FURTHER DETAILS AND TESTING OF A DISTRIBUTED GENETIC ALGORITHM BASED COGNITIVE ENGINE FOR PROGRAMMABLE RADIOS
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COGNITIVE RADIO TESTBED: FURTHER DETAILS AND TESTING OF A DISTRIBUTED GENETIC ALGORITHM BASED COGNITIVE ENGINE FOR PROGRAMMABLE RADIOS

机译：认知无线电测试：用于可编程收音机的分布式遗传算法的分布式遗传算法的进一步细节和测试

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摘要

This paper provides details of a distributed genetic algorithm (GA) based cognitive radio engine model for disaster communications and its implementation in a cognitive radio test bed using programmable radios. Future applications include tactical and covert communications. The Cognitive System Monitor (CSM) module presented here permits cross layer cognition and adaptation of a programmable radio by classifying the observed channel, matching channel behavior with operational goals, and passing these goals to a Wireless System Genetic Algorithm (WSGA) adaptive controller module to evolve and optimize radio operation. The CSM module algorithm provides for parallel distributed operation and includes a learning classifier and meta-GA functions that work from a knowledge base (which may be distributed) in long term memory to synthesize matched channels and operational goals that are retained in short term memory. Experimental results show that the cognitive engine finds the best tradeoff between a host radio's operational parameters in changing wireless conditions, while the baseline adaptive controller only increases or decreases its data rate based on a threshold, often wasting usable bandwidth or excess power when it is not needed due its inability to learn.
机译：本文提供了一种基于分布式遗传算法（GA）的认知无线电引擎模型的细节，用于灾难通信和使用可编程无线电测试在认知无线电测试床中的实现。未来的应用包括战术和隐蔽的通信。这里呈现的认知系统监视器（CSM）模块通过对观察到的信道，以运行目标匹配频道行为以及将这些目标传递给无线系统遗传算法（WSGA）自适应控制器模块来允许跨层认知和适应可编程无线电演化和优化无线电操作。 CSM模块算法提供了并行分布式操作，并且包括从长期存储器中从知识库（可以分布）的学习分类器和Meta-GA功能，以合成保持在短期存储器中的匹配信道和操作目标。实验结果表明，认知引擎在改变无线条件下的主机无线电操作参数之间找到最佳权衡，而基线自适应控制器仅基于阈值增加或减少其数据速率，通常在不存在时浪费可用的带宽或多余的功率需要由于无法学习。

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