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Prof. Srinath

"(a) Project Objectives and Deliverables: At IIIT-B, we are working on Distributed Algorithms for Spectrum Assignment for White Space Devices. Spectrum assignment for devices in white-space spectrum is challenging as, white-space spectrum has temporal and spatial variations and is most often fragmented. We have created an autonomous agent model for spectrum assignment of white space devices at a given location. Each white space device (WSD) acts autonomously out of self-interest, choosing a strategy from its bag of strategies. It obtains a payoff based on its choice and choices made by all other agents. WSDs interact with each other using a central shared memory located at a “Master” device. Based on payoffs received by different strategies, WSDs evolve their strategic profile over time. This has the effect of “demographic changes” in the population. The system is said to have reached a state of equilibrium (or, in a state of evolutionary best-response) when the demographic profile stabilizes. The system is trained on different load profiles to compute their respective evolutionary best responses.

(b) Milestones and Outcomes accomplished so far: (include publications, patent applications, software, prototypes, events and any other relevant outcome)

  • Micro-site of the IIIT-B simulation engine for spectrum allocation based on Google geolocation database across India
  • Chaitali Diwan, Srinath Srinivasa, Bala Murali Krishna. Autonomous Spectrum Assignment of White Space Devices. Proceedings of the 12th EAI International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM 2017), Lisbon, Portugal. September 2017.

(c) Please specify difficulties if any, in achieving the project objectives: Due to Coordination challenges between institutions, the spectrum allocation application tool developed in IIIT-B is largely unintegrated with the rest of the system. "