Two Undergraduate Student Publishes Research Paper

A research paper titled 'Unified Channel Assignment for Unicast and Broadcast Traffic in Cognitive Radio Networks' as a result of a Final Year Project of two Electronic Engineers Adil Kamal Mir and Ahmed Akram, has been accepted at the 12th IEEE International Workshop on Wireless Local Networks (to be held in conjunction with the 37th IEEE International Conference on Local computer Networks). The conference is to be held in Clearwater, Florida, USA, on the 22nd of October 2012.

The project was part of a HEC funded project on 'Efficient Routing in Multi-Radio Dynamic-Spectrum-Acess Wireless Mesh Networks' that is currently in progress at the Cognet Lab.Mr. Ejaz Ahmed (PhD. Scholar), Dr. Junaid Qadir (Advisor) and Dr. Adeel Baig (Co-Advisor) are the third, fourth and fifth authors of the paper respectively. 

Abstract

The rising density of wireless devices, combined with the availability of a plethora of wireless web applications, has overcrowded the radio frequency spectrum. Majority of the present wireless radio spectrum is already licensed; however, studies have shown that the licensed spectrum is significantly underutilized. Cognitive Radio Networks (CRNs) are envisioned to utilize the radio spectrum more efficiently. CRNs may be required to handle both unicast and broadcast traffic, which makes the task of channel assignment in CRNs more challenging, as communication mode required for each type of traffic is different. Unicast traffic may suffer due to interference if the same channel is assigned to and used by neighboring nodes; on the other hand for broadcast traffic if a larger set of neighbors share a common channel, any particular node may exploit wireless broadcast advantage to communicate with a maximum number of neighbors in a single transmission. Existing channel assignment schemes either favor unicast or broadcast traffic only. In this paper a Unified Channel Assignment (UCA) algorithm is proposed which assigns channels according to their respective interference and connectivity parameters depending on the proportions of unicast and broadcast traffic in the network.

The research paper has obtained very good reviews appreciating the novelty of the work proposed within the emerging domain of Cognitive Radio Networks.

The IEEE Conference on Local Computer Networks (LCN) is class A (tear 2) conference in the area of 'System Technology' within Computer Science, and along with its various workshops including IEEE Workshop on Wireless Local Networks (WLN) is a very prestigious and competitive platform having very low acceptance rates. More details regrading LCN'12 and WLN'12 are available at http://www.ieeelcn.org/ and http://research.cs.queensu.ca/wln12/ respectively. 

 

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