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Cellular communication networks are plagued with redundant capacity, whichresults in low utilization and cost-effectiveness of network capitalinvestments. The redundant capacity can be exploited to deliver secondarytraffic that is ultra-elastic and delay-tolerant. In this paper, we propose ananalytical framework to study the capacity-delay tradeoff of elastic/secondarytraffic in large scale cellular networks with spectrum aggregation. Ourframework integrates stochastic geometry and queueing theory models and givesanalytical insights into the capacity-delay performance in the interferencelimited regime. Closed-form results are obtained to characterize the mean delayand delay distribution as functions of per user throughput capacity. Theimpacts of spectrum aggregation, user and base station (BS) densities, trafficsession payload, and primary traffic dynamics on the capacity-delay tradeoffrelationship are investigated. The fundamental capacity limit is derived andits scaling behavior is revealed. Our analysis shows the feasibility ofproviding secondary communication services over cellular networks andhighlights some critical design issues.

Capacity and Delay Tradeoff of Secondary Cellular Networks with Spectrum Aggregation