Abstract
Cognitive radio research has developed dynamic radio spectrum management to enhance spectrum efficiency, e.g., as secondary users in unused TV bands. The location and user context of the mobile wireless user that regulatory bodies and lawmakers view as significant to spectrum interference policies have not been addressed as thoroughly. In addition, quality of service (QoS) provides a starting point but does not guarantee quality of experience (QoE) that depends on quality of information (QoI) which is a function of place, time, and user state in a social setting (e.g., commuting, shopping, or in need of medical assistance). This paper considers the evolution of cognitive radio architecture (CRA) from dynamic spectrum access (DSA) to QoE via an interdisciplinary perspective. Machine perception in visual, acoustic, speech, and text domains can cue the automatic detection of user state in stereotypical situations, enabling cognitive nodes and networks to select from among radio bands and modes more appropriately, thus enabling cognitive wireless networks (CWNs) to deliver higher QoE within technical policy constraints, in a way that makes cost-effective use of embedded and distributed computational intelligence. The control of networks of such cognitive radios requires advances in policy language architectures, so this paper introduces cognitive linguistics for policy languages.
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Notes
The development of the SDR Forum’s SCA was sponsored in 1996 by DARPA and the US Air Force towards an industry standard open architecture for SPEAKeasy II evolving to the Joint Tactical Radio System (JTRS) in 1997; as of May 2008, the JTRS program configuration-managed the DoD configuration of the SDR Forum’s SCA.
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This paper is based in part on the author’s text book, Cognitive Radio Architecture (Wiley 2006) with permission
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Mitola, J. Cognitive radio architecture evolution: annals of telecommunications. Ann. Telecommun. 64, 419–441 (2009). https://doi.org/10.1007/s12243-009-0101-6
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DOI: https://doi.org/10.1007/s12243-009-0101-6