Binary is good: A binary inference framework for primary user separation in cognitive radio networks

Nguyen, Huy and Zheng, Rong and Han, Zhu (2010) Binary is good: A binary inference framework for primary user separation in cognitive radio networks. In: 5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications.

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Abstract

Primary users (PU) separation concerns with the issues of distinguishing and characterizing primary users in cognitive radio (CR) networks. We argue the need for PU separation in the context of collaborative spectrum sensing and monitor selection. In this paper, we model the observations of monitors

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 08:57
Last Modified: 18 Apr 2026 03:22
URI: http://eprints.eai.eu/id/eprint/2533

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