Channel-Adaptive Sensing Strategy for Cognitive Radio Ad Hoc Networks
Yuan Lu, Alexandra Duel-Hallen

TL;DR
This paper introduces a channel-aware sensing strategy for cognitive radio ad hoc networks that adapts to fading channel conditions, significantly improving throughput and robustness over traditional methods.
Contribution
It proposes a novel CSI-adaptive sensing approach at MAC and physical layers, enhancing spectrum utilization and network throughput in CR networks.
Findings
Significant throughput gains demonstrated in practical scenarios.
Robustness to CSI mismatch, sensing errors, and spatial correlation.
Outperforms conventional adaptive transmission strategies.
Abstract
In Cognitive Radio (CR) ad hoc networks, secondary users (SU) attempt to utilize valuable spectral resources without causing significant interference to licensed primary users (PU). While there is a large body of research on spectrum opportunity detection, exploitation, and adaptive transmission in CR, most existing approaches focus only on avoiding PU activity when making sensing decisions. Since the myopic sensing strategy results in congestion and poor throughput, several collision-avoidance sensing approaches were investigated in the literature. However, they provide limited improvement. A channel-aware myopic sensing strategy that adapts the reward to the fading channel state information (CSI) of the SU link is proposed. This CSI varies over the CR spectrum and from one SU pair to another due to multipath and shadow fading, thus randomizing sensing decisions and increasing the…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Advanced MIMO Systems Optimization · Full-Duplex Wireless Communications
