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Spectrum Utilization The goals of this project: (1) Development of algorithms for the distributed detection of incumbents/trespassers in any frequency.

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Presentation on theme: "Spectrum Utilization The goals of this project: (1) Development of algorithms for the distributed detection of incumbents/trespassers in any frequency."— Presentation transcript:

1 Spectrum Utilization The goals of this project: (1) Development of algorithms for the distributed detection of incumbents/trespassers in any frequency band of interest; (2) Determination of the correct response to detected incumbents (3) Testing of our algorithms on the 802.11b network in the eStadium testbed in Ross Ade Stadium at Purdue University. Abstract

2 Software and Simulation Tools Throughput measurement: iperf Linux drivers for Atheros cards –Flexibility in terms of accessing code –Cisco AP: telnet connection to set channels Several APs: –Optimizing System: UDP –Incumbent System: Generate UDP traffic on our channel –Other APs around

3 Dynamic Channel Allocation – Simple Initial Algorithm Scan channels – Received Signal Strength (RSS) EWMA filter on channel j: RSS j =  RSS j k-1 +(1-  ) RSS j k Weight RSS on channel i from neighboring channels j Find the channel with minimum interference power Communicate with AP to switch to that channel

4 Centralized versus Distributed Spectrum Sensing Centralized ProcessingDistributed Processing

5 Taxonomy of Spectrum Sensing Techniques for CR Transmitter Detection Matched Filter Detection Energy Detection Cyclostationary Feature Detection Interference Based Detection Cooperative Detection

6 Initial Theoretical Work on Distributed Spectrum Sensing – Matched Filter Consider a system of N radios, each employing matched filter technique for spectrum sensing. Hypothesis at each radio: X k is the received signal, s k is signal that is to be detected, h is the channel gain for the received signal and n k is N (0,  2 ) Receivers use Neyman-Pearson Criteria for the hypothesis testing problem

7 Performance of Detection Systems – Matched Filter Non-collaborative and collaborative scheme under the AWGN channel model Collaborative scheme: –Final decision is based on k out of N rule: k = 1 refers to OR decision fusion rule k = N corresponds to AND fusion rule k = N/2 corresponds to MAJORITY fusion rule

8 Experimental results from measurement tests System Setup -Two distances 50 and 250 feet -At each distance RTS/CTS was on for both and off for both systems -At each RTS/CTS setting the packets lengths were 10, 20 and 1470 bytes -For each packet length iperf was ran. The incumbent system was ran before and after the switching channel system ran. Experimental Description

9 Effect of Packet Length and RTS/CTS on Throughput at a distance of 50 feet

10 Effect of Distance on Throughput with packet length of 1470 Bytes


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