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Maximizing Cooperative Sensing Research in Dynamic Spectrum Access

The paper explores the significance of cooperative sensing for DSA applications, emphasizing the need for innovative solutions such as databases and Coase-like models. It delves into signal classification challenges and emphasizes the importance of sensing and radio domain information. The study also focuses on assessing other networks, information sharing, and novel applications, highlighting the complexity of cognitive radio interactions and the analytical framework provided by game theory.

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Maximizing Cooperative Sensing Research in Dynamic Spectrum Access

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  1. We need to refocus sensing research • DSA was major motivator • Suboptimal to cooperation with PU for vast majority DSA apps • Database, CPC, or Coase-like solutions • Signal classification less valuable when a leopard can change its spots • Sensing is important • Still need radio domain information (time-sensitive) • More value added: • Assessing another network’s capabilities, estimating their observations, and doing BDA • Information sharing and organization • Novel applications

  2. No CR is an Island(Why Game Theory?) • CR don’t just react, they interact • Self coexistence • Inter-network coexistence • Instability • And they don’t have to play nice either • In practice it’s not a 1-on-1 game • Game theory provides analytical structure • Meta-games?

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