Optimal Resource Allocation for GAA Users in Spectrum Access System Using Q-Learning Algorithm

Abbass, Waseem; Hussain, Riaz; Frnda, Jaroslav; Khan, Irfan Latif; Javed, Muhammad Awais; Malik, Shahzad A.

doi:10.1109/access.2022.3180753

Cited by 3 publications

(1 citation statement)

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“…Gao et al evaluate all three approaches using a suite of propagation models and GIS map data of Virginia Beach and San Diego [2], [3], showing that all three approaches are indeed effective at reducing potential interference. In contrast to WINNFORM, Abbass et al explore the application of Q-learning for spectrum allocation in CBRS [16]. Specifically, the authors investigate opening up idle access priority access license (PAL) channels to general authorized access (GAA) users.…”

Section: A Citizens Broadband Radio Servicementioning

confidence: 99%

BoTM: Basestation-on-the-move, a Radio Access Network Management Primitive

Gottipati

Merwe

2021

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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FlexRDZ is an online, autonomous manager for radio dynamic zones (RDZ) that seeks to enable the safe operation of RDZs through real-time control of deployed test transmitters. FlexRDZ leverages Hierarchical Task Networks and digital twin modeling to plan and resolve RDZ violations in near real-time. We prototype FlexRDZ with GTPyhop and the Terrain Integrated Rough Earth Model (TIREM). We deploy and evaluate FlexRDZ within a simulated version of the Salt Lake City POWDER testbed, a potential urban RDZ environment. Our simulations show that FlexRDZ enables up to a 20 dBm reduction in mobile interference and a significant reduction in the total power of leaked transmissions while preserving the overall communication capabilities and uptime of test transmitters. To our knowledge, FlexRDZ is the first autonomous system for RDZ management.

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Section: A Citizens Broadband Radio Servicementioning

confidence: 99%