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End-to-end delay is an important metric for network performance. This paper studis the end-to-end delay in a two-hop Cognitive Machine-to-Machine (CM2M) network, where a pair of primary users (PUs) coexist with a secondary (SR) network with many two-hop line M2M communication links. The occupancy of the licensed channel by PUs is modelled as a continuous-time two-state (busy and idle) Markov process...
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