As described in this article, Motorola submitted a new prototype for testing by the FCC for secondary use in the TV bands. They plan on applying two approaches to achieving non-interference. For high power devices, geolocation with a database lookup will be used. For low power devices, spectrum sensing will be used (the approach previously prototyped by Microsoft and Phillips).
Personally, I think geolocation will have to be the approach used to provide a high probability of non-interference.
Today is the first of three days of presentations of cognitive radio research at the SDR Forum technical conference (which has a significant focus on cognitive radio – approximately 1/4 of all papers and all keynotes and panel discussions are on cognitive radio. Probably only a matter of time before its the SDR/CR Forum ;)).
Today’s lineup: (Al normally collects presentations and posts them in an SDR drop box; I’ll post a link when it comes available. I’ll also see if I can get permission from the authors to link presentations as the conference proceeds for those not at the conference.)
K. Enda, R. Kohno (Yokohama) , A Study on the Estimation of Traffic Quantity and MAC Protocol in Radio Wave Environmental Monitoring”
H. Sharma, P. Balamuralidhar, “A Context Interpretation Framework for Cognitive Network Devices” (Tata)
[ed- The use of ontological reasoning for decision making is a pet peeve of mine because I think it’s an unneccessary resource hog. I first saw this documented in Chapt 13 of Fette’s Cognitive Radio Technology where Table 13.1 noted that the complexity to reason in OWL was unbounded as the number of facts in the reasoning database grew. The authors of this paper saw similar effects where drawing a single inference from a fact book consisting of 39 concepts and 29 properties on a Pentium IV took 100 ms.)
M. Kokar, L. Lechowicz. “Composition, Equivalence, and Interoperability: An Example” (Northeastern) (moved to Session 3.4)
Y. Nakao, K. Watanabe, T. Sato, R. Kohno, “A Study on Coexistence of WLAN and WPAN Using a PAN coordinator with an Array Antenna” (Yokohama)
S. Thilakawardana, K. Moessner, “Use of Wavelet Techniques in Spectrum Holes Detection in Opportunistic Radio”
G. Cafaro, N. Correal, D. Taubenheim, “A 100 MHz – 2.5 GHz CMOS Transceiver in an Experimental Cognitive Radio System”
F. Ge, C. Bostian, “A Wide-band Spectrum Sensing Approach with Agiliy and Low SNR Sensibility” (VT)
P. Amini, E. Azarnasab, S. Akoum, X. Mao, H. Rao, B. Farhang-Boroujeny, “Implementation of a Cognitive Radio Modem” (Utah)
S. Chantaraskul, D. Thilakawardana, K. Moessner, “Genetic Algorithm Approach for the Decision-making Framework in Opportunistic Radio” (Surrey)
K. Kashiki, T. Fujimoto, M. Nhara, “Development of SDR Based Equipment with Channel Monitoring Function for Cognitive Radio”
The winners of the 2007 SDR Form Smart Radio Challenge were just announced at the SDR Forum.
Best paper award: Utah ($1000 scholarship)
Best design: Virginia Tech, MPRG
Winner of problem 1: Virginia Tech, CWT ($2000 cash for “scholarships”)
Winner of problem 2: Penn State ($2000 cash for “scholarships”)
Winner of problem 3: KTH (Absolut) ($2000 cash for “scholarships”)
Grand Prize Winner winner: Virginia Tech CWT ($4000 cash for “scholarships”)
Participating teams (teams had to get past a proposal stage just to compete) were: Utah, SUPELEC (France), Royal Institute of Technology (Stockholm), Universiti Putra Malaysia, Penn State, Clemson, Virginia Tech CWT and Virginia Tech MPRG.
The problems and specific participants were as follows.
Problem 1: Clemson, Utah, VT CWT, VT MPRG
Develop a smart radio system that will automatically find available spectrum within a pre-defined band and transmit data over that band with a pre-defined QoS.
Problem 2 Penn State, SUPELEC
Develop a smart radio terminal that can automatically provide interoperability between radios with different modulations, voice, and network protocols, and which knows how to forward messages to the proper network – be it commercial or civil.
Problem 3: KTH (Absolut), Malaysia
Develop a smart radio system that can, using available spectrum, accurately detect the location of many vehicles within the city and assess the velocity along common roadways. The system will then provide user specific route guidance from starting point to ending point which will minimize total fuel consumption.. The system must be future proof, to allow new features and capabilities to be added over an expected 10-year life span of the vehicle without requiring a visit to the dealer.
Turned off comments – an insane amount of spam was directed at this particular post.