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
Routing Metric for Interference and Channel Diversity in Multi-Radio Wireless Mesh Networks
ADHOC-NOW '09 Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks
Cognitive mobile virtual network operator: investment and pricing with supply uncertainty
INFOCOM'10 Proceedings of the 29th conference on Information communications
A dynamic spectrum access scheme for unlicensed systems coexisting with primary OFDMA systems
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Efficient QoS support for secondary users in cognitive radio systems
IEEE Wireless Communications
Cell zooming for cost-efficient green cellular networks
IEEE Communications Magazine
Greedy versus dynamic channel aggregation strategy in CRNs: Markov models and performance evaluation
NETWORKING'11 Proceedings of the IFIP TC 6th international conference on Networking
Pricing of spectrum reservation under overbooking
Electronic Commerce Research and Applications
Available and Waiting Times for Cognitive Radios
Wireless Personal Communications: An International Journal
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Dynamic spectrum access approaches, which propose to opportunistically use underutilized portions of licensed wireless spectrum such as cellular bands, are increasingly being seen as a way to alleviate spectrum scarcity. However, before DSA approaches can be enabled, it is important that we understand the dynamics of spectrum usage in licensed bands. Our focus in this article is the cellular band. Using a unique dataset collected inside a cellular network operator, we analyze the usage in cellular bands and discuss the implications of our results on enabling DSA in these bands. One of the key aspects of our dataset is its scale -- it consists of data collected over three weeks at hundreds of base stations. We dissect this data along different dimensions to characterize if and when spectrum is available, develop models of primary usage, and understand the implications of these results on DSA techniques such as sensing.