Sequential Sensing and Transmission for Real-Time Traffic in Cognitive Networks
Abstract
This paper proposes a sequential sensing and transmission algorithm for real-time data in time-slotted multi-band cognitive networks. The proposed algorithm includes the backlog in a queue and the delay constraint of real-time data to select an appropriate band to send data such that more real-time data can be transmitted before being dropped. Simulation results show that the proposed algorithm reduces frames loss ratio and increases effective real-time throughput.
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