
TL;DR
This paper investigates the tradeoff between sensing duration and data transmission time in cognitive radio systems, proposing variable sensing schemes that optimize throughput by balancing sensing accuracy and access strategies.
Contribution
It introduces variable sensing duration schemes that optimize sensing time for maximum throughput, outperforming conventional fixed sensing and non-sensing approaches.
Findings
Optimized sensing durations improve secondary throughput.
Proposed schemes outperform conventional fixed sensing methods.
Certain misdetection and false alarm probabilities favor minimal sensing durations.
Abstract
A longer sensing time improves the sensing performance; however, with a fixed frame size, the longer sensing time will reduce the allowable data transmission time of the secondary user (SU). In this paper, we try to address the tradeoff between sensing the primary channel for seconds of the time slot proceeded by randomly accessing it and randomly accessing primary channel without sensing to avoid wasting seconds in sensing. The SU senses primary channel to exploit the periods of silence, if the primary user (PU) is declared to be idle the SU randomly accesses the channel with some access probability . In addition to randomly accesses the channel if the PU is sensed to be idle, it possibly accesses it if the channel is declared to be busy with some access probability . This is because the probability of false alarm and misdetection cause significant secondary…
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Taxonomy
TopicsDistributed Sensor Networks and Detection Algorithms · Wireless Networks and Protocols · Energy Efficient Wireless Sensor Networks
