Performance analysis of energy detection over hyper‐Rayleigh fading channels
Eleftherios Chatziantoniou, Ben Allen, Vladan Velisavljević
Abstract
Open-access reader
Eleftherios Chatziantoniou, Ben Allen, Vladan Velisavljević
Abstract
Open-access reader
This study investigates the performance of energy detection (ED)‐based spectrum sensing over two‐wave with diffused power (TWDP) fading channels, which have been found to provide accurate characterisation for a variety of fading conditions. A closed‐form expression for the average detection probability of ED‐based spectrum sensing over TWDP fading channels is derived. This expression is then used to describe the behaviour of ED‐based spectrum sensing for a variety of channels that include Rayleigh, Rician and hyper‐Rayleigh fading models. Such fading scenarios present a reliable behavioural model of machine‐to‐machine wireless nodes operating in confined structures such as in‐vehicular environments.
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This study investigates the performance of energy detection (ED)‐based spectrum sensing over two‐wave with diffused power (TWDP) fading channels, which have been found to provide accurate characterisation for a variety of fading conditions. A closed‐form expression for the average detection probability of ED‐based spectrum sensing over TWDP fading channels is derived. This expression is then used to describe the behaviour of ED‐based spectrum sensing for a variety of channels that include Rayleigh, Rician and hyper‐Rayleigh fading models. Such fading scenarios present a reliable behavioural model of machine‐to‐machine wireless nodes operating in confined structures such as in‐vehicular environments.
Key concepts: Rician fading, Fading, Rayleigh fading, Fading distribution, Channel state information, Computer science, Wireless, Energy (signal processing)