Proactive cognitive networks with predictable demand
In this paper we characterize the proactive diversity gain of a cognitive network with predictable primary and secondary requests. Network performance is analyzed under two proposed proactive service policies that preserve higher priority for the primary user. The first policy preserves the primary diversity bound as if there is no secondary user in the network, whereas the second policy boosts the secondary diversity with guaranteed higher primary diversity. For each policy, we derive diversity gain bounds for primary and secondary users. We show that the predictability of secondary requests can remarkably boost quality of service (QoS) of the secondary user compared to the previous literature when secondary requests are nonpredictable. We provide numerical simulations to validate our analytical findings and demonstrate performance merits.
|Conference||84th IEEE Vehicular Technology Conference, VTC Fall 2016|
Ahmed, R. (Rana), Tadrous, J. (John), El-Keyi, A. (Amr), & Nafie, M. (Mohamed). (2017). Proactive cognitive networks with predictable demand. In IEEE Vehicular Technology Conference. doi:10.1109/VTCFall.2016.7881178