ProTOMAC: Proactive Transmit Opportunity Detection at the MAC Layer for Cognitive Radios

Traditional Cognitive Radio Networks aim to utilize the radio spectrum white space. We present a radically different approach which exploits the excess Signal-to-Noise ratios at which the primary network nodes operate. This paper introduces ProTOMAC (Proactive Transmit Opportunity Detection at MAC Layer), the first spectrum access paradigm that leverages the gray space present at the MAC layer via a novel conceptual extension of the Interference Temperature (IT) approach. The ProTOMAC architecture is based on detecting changes in the primary network packet statistics. Specifically, we develop novel techniques based on iteratively updated information theoretic divergence measures along with rapid and accurate kernel density estimators. These enable the secondary network to operate subject to an interference constraint that ensures a given primary network QOS. ProTOMAC presents a generalized scheme for coexistence of dissimilar Packet Based Networks. We provide an efficient implementation of ProTOMAC using commercial off-the-shelf equipment. The coexistence efficacy of ProTOMAC is validated on an IEEE 802.11g WLAN via establishing a 500 kbps secondary link with a range of 3 meters with an early interference detection time of 240-600 ms. For the first time, identification and exploitation of hitherto unutilized transmission opportunities in Packet Based Networks has been made possible.

[1]  Ana I. Pérez-Neira,et al.  Fuzzy-based Spectrum Handoff in Cognitive Radio Networks , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).

[2]  Vaduvur Bharghavan,et al.  Robust rate adaptation for 802.11 wireless networks , 2006, MobiCom '06.

[3]  R. A. Leibler,et al.  On Information and Sufficiency , 1951 .

[4]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[5]  Nikhil Kundargi,et al.  A nonparametric sequential kolmogorov-smirnov test for transmit opportunity detection at the MAC layer , 2009, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications.

[6]  Rajarathnam Chandramouli,et al.  Dynamic Spectrum Access with QoS and Interference Temperature Constraints , 2007, IEEE Transactions on Mobile Computing.

[7]  Isabelle Guérin Lassous,et al.  Bandwidth Estimation for IEEE 802.11-Based Ad Hoc Networks , 2008, IEEE Transactions on Mobile Computing.

[8]  Xiaodong Wang,et al.  Robust Detection of MAC Layer Denial-of-Service Attacks in CSMA/CA Wireless Networks , 2008, IEEE Transactions on Information Forensics and Security.

[9]  Ananthram Swami,et al.  A Decision-Theoretic Framework for Opportunistic Spectrum Access , 2007, IEEE Wireless Communications.

[10]  Michael E. Theologou,et al.  Enhanced estimation of configuration capabilities in cognitive radio , 2008, IEEE Communications Magazine.

[11]  Brian M. Sadler,et al.  A Survey of Dynamic Spectrum Access , 2007, IEEE Signal Processing Magazine.

[12]  Bu. Park,et al.  Rejoinder to ``Practical performance of several data driven bandwidth selectors" , 1992 .