Quality of Service-driven Channel Selection for Cognitive Radio Networks (VENI-CR)Themes: Signal processing for communication
The fundamental component of CR disaster relief network is the channel selection mechanism. Based on metrics like channel time-domain statistics (e.g. mean availability time), CR devices select the radio resource that satisfies Quality of Service (QoS) requirements such as message delivery rate. While physical layer metrics used for QoSbased channel selection are well studied, use of time-domain metrics in channel selection is an open scientific problem in CR. As the collection of data on channel utilization must be done sporadically/irregularly to minimize delay, incautious estimation might in-turn hinder the operation of CR network.
In disaster relief networks, data flows have strict QoS requirements, also expressed in terms of the maximum allowed delay or minimum throughput. I postulate that channel selection has to be adapted to these QoS goals and depend on confidence levels on estimated traffic parameters. The key idea is to exploit the information on the estimated distribution of licensed user traffic in channel selection process. Features like variance or skewness of the estimated traffic distribution would help in quantifying data flow QoS disruption probability by instantaneous licensed user appearance. Primary innovations include (i) investigating fundamental limits of licensed traffic estimation accuracy, given time and physical layer constraints; and (ii) devising core methods of channel selection based on distributed parameter estimation considering QoS requirements.
|Starting date:||January 2013|
|Closing date:||December 2015|
|Funding:||250 kE; related to group 250 kE|
|Partners:||TU Delft, Fac. EEMCS (ES and CAS groups)|
|Users:||NXP Semiconductors; TI-WMC; Dutch Ministry of Defense; National Dutch Police Corps; Agentschap Telecom; KPN; Cisco Systems; Microsoft Research.|