Regret Minimization for Primary/Secondary Access to Satellite Resources With Cognitive Interference - 2018


There are different varieties of uncertainty in satellite Communications, including cognitive interferers, channel conditions, packet traffic, and spectrum occupancy of users across channels. Similarly, delay (like propagation delay observed over satellite links) increases spectrum uncertainty and makes spectrum sensing and spectrum access two difficult tasks. To address such challenges, this Project presents a regret minimization resolution for primary user (PU) and secondary user (SU) spectrum access to satellite resources in the presence of cognitive interferers. This strong game theoretic answer supports hierarchical spectrum sharing and dynamic spectrum access over multiple channels. Users choose channels for knowledge transmission and perform power control to optimize individual utility functions that are random thanks to different forms of uncertainty. The proposed game engine primarily based on regret minimization framework provides a coffee-complexity and quick solution compared with ancient game solutions based on expected utility maximization. Detailed numerical results evaluate throughput and delay of PUs and SUs in the presence of cognitive interferers and compare the strong game theory-enabled approach with 2 benchmark schemes (with and without data on channel availability). To support controllable and repeatable test and analysis with real radios, an emulation testbed is made with software-defined radios connected with a network channel emulator that generates channel, mobility, and interference effects for satellite Communications. GNU Radio modules are developed for cognitive network functionalities and run on USRP N210 radios that represent SU, PU, interferer, and satellite nodes. Emulation tests validate the effectiveness of the proposed solution beneath real radio effects.

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