The cdma2000 System for Mobile Communications: 3G Wireless Evolution
The cdma2000 System for Mobile Communications: 3G Wireless Evolution
Chicago spectrum occupancy measurements & analysis and a long-term studies proposal
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Fundamental design tradeoffs in cognitive radio systems
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
In-band spectrum sensing in cognitive radio networks: energy detection or feature detection?
Proceedings of the 14th ACM international conference on Mobile computing and networking
Optimal cooperative spectrum sensing in cognitive sensor networks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Dynamic spectrum access in heterogeneous networks: HSDPA and WiMAX
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Mining spectrum usage data: a large-scale spectrum measurement study
Proceedings of the 15th annual international conference on Mobile computing and networking
Mining and modeling large scale cell phone data: invited talk
FOMC '11 Proceedings of the 7th ACM ACM SIGACT/SIGMOBILE International Workshop on Foundations of Mobile Computing
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Sensing mechanisms that estimate the occupancy of wireless spectrum are crucial to the success of approaches based on Dynamic Spectrum Access. In this paper, we present key insights into this problem by empirically investigating the design of sensing mechanisms applied to check the availability of excess capacity in CDMA voice networks. We focus on power-based sensing mechanisms since they are arguably the easiest and the most cost-effective. Our insights are developed using a unique dataset consisting of sensed power measurements in the band of a CDMA network operator as well as "ground-truth" information about primary users based on operator data. We find that although power at a single sensor is too noisy to help us accurately estimate unused capacity, there are well-defined signatures of call arrival and termination events. Using these signatures, we show that we can derive lower bound estimates of unused capacity that are both useful (non-zero) and conservative (never exceed the true value). We also use a combination of measurement data and analysis to deduce that multiple sensors are likely to be quite effective in eliminating the inaccuracies of single-sensor estimates.