IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference 2008
DOI: 10.1109/glocom.2008.ecp.933
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QoS Routing in Wireless Mesh Networks with Cognitive Radios

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Cited by 35 publications
(13 citation statements)
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“…For example, the author in Ref. [112] investigates a QoS routing in wireless cognitive mesh networks, containing routing selection, channel allocation and scheduling, and it also presents a distributed routing protocol, which could choose routing and request allocation resources for connection to satisfy the end to end bandwidth requirements. In Ref.…”
Section: Cognitive Routing Research Contentsmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, the author in Ref. [112] investigates a QoS routing in wireless cognitive mesh networks, containing routing selection, channel allocation and scheduling, and it also presents a distributed routing protocol, which could choose routing and request allocation resources for connection to satisfy the end to end bandwidth requirements. In Ref.…”
Section: Cognitive Routing Research Contentsmentioning
confidence: 99%
“…For example, the study in Refs. [112] and [116] comprehensively consider network throughput and end to end performance.…”
Section: Cognitive Routing Research Contentsmentioning
confidence: 99%
“…To derive the interference-impact ratio [9], the influence of a link , ij  working at channel m on the potential neighboring links is investigated. pt is independent among all usable channels [9].…”
Section: B Link-channel Interference-impact Ratiomentioning
confidence: 99%
“…Based on different assumptions of the spectrum-knowledge availability (i.e., full spectrum knowledge and local spectrum knowledge), a number of spectrum-aware routing schemes have been proposed for the multi-hop CRNs [1]. These works usually adopt the existing network layer protocols (e.g., AODV [2] and DSR [3]) and address the DSA characteristics by their own cross-layer performance metrics (e.g., channel switching delay, interference to the PU) and path discovery/maintenance algorithms [4], [5].…”
Section: Introductionmentioning
confidence: 99%