Extending Cognitive Radios with New Perspectives

Suzan Bayhan; Jussi Kangasharju

doi:10.1109/ICUFN.2014.6876813

Extending Cognitive Radios with New Perspectives

Suzan Bayhan, Jussi Kangasharju

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

Over a decade-long research on Cognitive Radio (CR) has provided many solutions to its fundamental challenges such as spectrum sensing and resource allocation. However, most of these solutions are particularly designed either for networks which have a supporting infrastructure (i.e., cognitive base stations) or for ad hoc networks with persistent connectivity. In this paper, we focus on less-investigated cases and highlight their potential for realisation of CR paradigm to a broader domain beyond the extensively researched centralised networks or well-connected decentralised networks. In particular, we analyze the potential of applying delay-tolerant networking paradigm for CRNs and outline how social network analysis and social properties can be exploited in the design of CRN solutions.

Original language	English
Title of host publication	The Sixth International Conference on Ubiquitous and Future Networks (ICUFN)
Number of pages	6
Publisher	IEEE
Publication date	8 Jul 2014
Pages	363-368
ISBN (Print)	978-1-4799-3494-2
DOIs	https://doi.org/10.1109/ICUFN.2014.6876813
Publication status	Published - 8 Jul 2014
MoE publication type	A4 Article in conference proceedings
Event	International Conference on Ubiquitous and Future Networks - Shanghai, China Duration: 8 Jul 2014 → 11 Jul 2014 Conference number: 6 (ICUFN 2014)

Fields of Science

113 Computer and information sciences
cognitive radio
social network analysis
opportunistic networks

Access to Document

10.1109/ICUFN.2014.6876813

Cite this

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title = "Extending Cognitive Radios with New Perspectives",

abstract = "Over a decade-long research on Cognitive Radio (CR) has provided many solutions to its fundamental challenges such as spectrum sensing and resource allocation. However, most of these solutions are particularly designed either for networks which have a supporting infrastructure (i.e., cognitive base stations) or for ad hoc networks with persistent connectivity. In this paper, we focus on less-investigated cases and highlight their potential for realisation of CR paradigm to a broader domain beyond the extensively researched centralised networks or well-connected decentralised networks. In particular, we analyze the potential of applying delay-tolerant networking paradigm for CRNs and outline how social network analysis and social properties can be exploited in the design of CRN solutions.",

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N2 - Over a decade-long research on Cognitive Radio (CR) has provided many solutions to its fundamental challenges such as spectrum sensing and resource allocation. However, most of these solutions are particularly designed either for networks which have a supporting infrastructure (i.e., cognitive base stations) or for ad hoc networks with persistent connectivity. In this paper, we focus on less-investigated cases and highlight their potential for realisation of CR paradigm to a broader domain beyond the extensively researched centralised networks or well-connected decentralised networks. In particular, we analyze the potential of applying delay-tolerant networking paradigm for CRNs and outline how social network analysis and social properties can be exploited in the design of CRN solutions.

AB - Over a decade-long research on Cognitive Radio (CR) has provided many solutions to its fundamental challenges such as spectrum sensing and resource allocation. However, most of these solutions are particularly designed either for networks which have a supporting infrastructure (i.e., cognitive base stations) or for ad hoc networks with persistent connectivity. In this paper, we focus on less-investigated cases and highlight their potential for realisation of CR paradigm to a broader domain beyond the extensively researched centralised networks or well-connected decentralised networks. In particular, we analyze the potential of applying delay-tolerant networking paradigm for CRNs and outline how social network analysis and social properties can be exploited in the design of CRN solutions.

KW - 113 Computer and information sciences

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KW - social network analysis

KW - opportunistic networks

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DO - 10.1109/ICUFN.2014.6876813

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BT - The Sixth International Conference on Ubiquitous and Future Networks (ICUFN)

PB - IEEE

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