Outage probability based comparison of underlay and overlay spectrum sharing techniques

“…The access technology used in spectrum sharing can be overlay spectrum sharing or underlay spectrum sharing [70]. In underlay spectrum sharing, techniques that spread the transmitted signal over a large band of spectrum are used, so that PUs regard transmissions by CR nodes as noise and simultaneous uncoordinated spectrum usage is achieved.…”

Section: ) Classification Of Approachesmentioning

confidence: 99%

Using Cognitive Radio for Interference-Resistant Industrial Wireless Sensor Networks: An Overview

Chiwewe

Mbuya

Hancke

2015

IEEE Trans. Ind. Inf.

138

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Abstract-Industrial wireless sensor networks have to contend with environments that are usually harsh and time varying. Industrial wireless technology, such as WirelessHART and ISA 100.11a, also operates in a frequency spectrum utilised by many other wireless technologies, and with wireless applications rapidly growing it is possible that multiple heterogeneous wireless systems would need to operate in overlapping spatiotemporal regions. Interference such as noise or other wireless devices affects connectivity and reduces communication link quality. This negatively affects reliability and latency, which are core requirements of industrial communication. Building wireless networks that are resistant to noise in industrial environments and can coexist with competing wireless devices in an increasingly crowded frequency spectrum is challenging. To meet these challenges, we need to consider the benefits that approaches finding success in other application areas can offer industrial communication. Cognitive radio methods offer a potential solution to improve resistance of industrial wireless sensor networks to interference. Integrating cognitive radio principles into the lower layers of industrial wireless sensor networks can enable devices to detect and avoid interference and potentially opens the possibility of utilising free radio spectrum for additional communication channels. This improves resistance to noise and increases redundancy in terms of channels per network node or adding additional nodes. In this paper, we summarise cognitive radio methods relevant to industrial applications, covering cognitive radio architecture, spectrum access and interference management, spectrum sensing, dynamic spectrum access, game theory and cognitive radio network security.Index Terms-Cognitive radio, industrial wireless sensor networks, Internet of Things, spectrum management, spectrum sensing.

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“…But this should be done with care since if the cognitive radio increases the noise floor of the primary user above a particular level it will cause interference to it. In [23], the authors investigate the impact caused on primary users measured by the outage probability using overlay, underlay and interference avoidance underlay. The interference avoidance underlay scheme also spreads its power over the entire band but it notches out or nullifies the frequencies in which the cognitive radio senses primary user activity [23].…”

Section: Overlay and Underlay Networkmentioning

confidence: 99%

“…In [23], the authors investigate the impact caused on primary users measured by the outage probability using overlay, underlay and interference avoidance underlay. The interference avoidance underlay scheme also spreads its power over the entire band but it notches out or nullifies the frequencies in which the cognitive radio senses primary user activity [23]. In the analysis the authors of [23] found out that, interference avoidance schemes introduce less interference to the primary users and in the event of imperfect sensing, interference avoidance underlay scheme performs better than the overlay scheme.…”

Section: Overlay and Underlay Networkmentioning

confidence: 99%

Predictive Channel Access in Cognitive Radio Networks Based on Variable Order Markov Models

Devanarayana

Alfa

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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The concept of Cognitive radio enables the unlicensed users to share the spectrum with licensed users, on the condition that the licensed users have preemptive priority. The use of the channel by unlicensed users should not result in more than acceptable interference level to the licensed users, if interference occurs. The sense and react strategy by unlicensed users sometimes does not lead to acceptable level of interference while maintaining an acceptable data transfer rate for the unlicensed users.Proactive channel access has been proposed for the purpose of reducing the interference to primary users and to reduce the idle channel search delay for the secondary users. There are many methods used in the literature to model the channel state fluctuations. Based on these models the future channel states are predicted.In this thesis we introduce a predictive channel usage scheme which is capable of reducing the interference caused by the unlicensed users. Furthermore our scheme is capable of increasing the data rates the unlicensed users experience through the reduction of the idle channel identification delay. In our scheme no assumptions are made about the distribution of licensed user channel usage. We learn the traffic characteristics of the channels using a learning scheme called Probabilistic Suffix Tree algorithm.iii

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Outage probability based comparison of underlay and overlay spectrum sharing techniques

Cited by 120 publications

References 16 publications

A survey on spectrum management in cognitive radio networks

A survey on spectrum management in cognitive radio networks

Using Cognitive Radio for Interference-Resistant Industrial Wireless Sensor Networks: An Overview

Predictive Channel Access in Cognitive Radio Networks Based on Variable Order Markov Models

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