Low-Complexity Adaptive Transmission for Cognitive Radios in Dynamic Spectrum Access Networks

Pursley, M.B.; Royster, Thomas C.

doi:10.1109/jsac.2008.080108

Cited by 62 publications

(24 citation statements)

References 16 publications

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“…Adaptive protocols have been developed that can ascertain the best combination of modulation, coding scheme and the transmission power for a new spectrum band by taking into account changes in signal attenuation [68].…”

Section: ) Reconfigurationmentioning

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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Section: ) Reconfigurationmentioning

confidence: 99%

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

Chiwewe

Mbuya

Hancke

2015

IEEE Trans. Ind. Inf.

138

View full text Add to dashboard Cite

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“…Similarly, investigation into LA in a dynamic spectrum access application for cognitive radios has also been presented [39]. LA in Land Mobile Satellite systems have also been proposed and analyzed [7,8].…”

Section: Prior Workmentioning

confidence: 99%

“…EVM was used as a decision statistic for QPSK and 16-QAM modes in a link adaptive system proposed [39]. Additionally, the EVM SNR-estimation approach can be more easily implemented in hardware in comparison to a traditional SNR estimator [58,59].…”

Section: Error Vector Magnitudementioning

confidence: 99%

Link adaptation for mitigating Earth-to-Space propagation effects on the NASA SCaN testbed

Kilcoyne

Rowe

Headley

et al. 2016

2016 IEEE Aerospace Conference

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In Earth-to-Space communications, well-known propagation effects such as path loss and atmospheric loss can lead to fluctuations in the strength of the communications link between a satellite and its ground station. Additionally, a less-often considered effect of shadowing due to the geometry of the satellite and its solar panels can also lead to link degradation. As a result of these anticipated channel impairments, NASA communication links have been traditionally designed to handle the worst-case impact of these effects through high link margins and static, lower rate, modulation formats. This thesis first characterizes the propagation environment experienced by a software-defined radio on the NASA SCaN Testbed through a full link-budget analysis. Then, the following chapters propose, design, and model a link adaptation algorithm to provide an improved trade-off between data rate and link margin through varying the modulation format as the received signal-to-noise operate at the most robust transmitting configuration, ensuring a low error-rate. However, with this worst-case method, the trade-off manifests in the very constrained data rate-although the data is transmitted with minimal errors, the throughput also remains low. This thesis first outlines the propagation environment experienced by a communications signal originating in Cleveland, OH and traveling to a software-defined radio on the NASA SCaN Testbed. Then, a link adaptation algorithm is designed and simulated to provide an improved trade-off between data rate and bit error rate. This flexibility between transmitting configurations allows for communications to be more efficient, as the transmitter can adapt as the signal strength improves.

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“…3, No. 3;August 2010ISSN 1913-8989 E-ISSN 1913 8 F x is a viable channel. A CTS packet will be sent to Src with the new frequency F x , requested data rate R x and power P x .…”

Section: _5mentioning

confidence: 99%

“…To minimize the interference problem, schemes utilizing power control or adaptive modulation and coding (AMC) schemes (Ma, Zheng, Zhang, Shao & Fujise, 2006;Pursley & Royster, 2008) were proposed. Increasing transmission power, lowering the data rate and using a more robust modulation can improve signal quality (SINR) at the receiver, reduce the probability of error (BER) and provide better throughput in the presence of noise.…”

Section: Introductionmentioning

confidence: 99%

Supporting Differentiated Service in Cognitive Radio Wireless Mesh Networks

How¹

2010

CIS

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The MAC layer protocols utilizing enhanced distributed channel access (EDCA) in the recently published IEEE 802.11-2007 are able to provide differentiated QoS for different traffic types in wireless networks through varying the Arbitration Inter-Frame Spaces (AIFS) and contention window sizes. However, the performance of high priority traffic can be seriously degraded in the presence of strong noise over the wireless channels. The noise problem is further aggravated in wireless mesh networks when packets traverse multiple-hops from source to destination. The noise problem can be mitigated by distributing network traffic across multiple vacant channels to reduce the node density per transmission channel. Although multiple non-overlapped channels exist in the 2.4GHz and 5GHz spectrum, most IEEE 802.11-based multi-hop ad hoc networks today use only a single channel at anytime. As a result, these networks cannot fully exploit the aggregate bandwidth available in the radio spectrum provisioned by the standards. In this paper, we propose the Power-Controlled Rate-Adaptive MAC (CPCRA) protocol for single transceiver based Cognitive Radio Networks (CRNs) which combines adaptive modulation and coding with dynamic spectrum access. Simulation results demonstrate that CPCRA can achieve better performance in terms of lower delay and higher throughput.

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Low-Complexity Adaptive Transmission for Cognitive Radios in Dynamic Spectrum Access Networks

Cited by 62 publications

References 16 publications

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

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

Link adaptation for mitigating Earth-to-Space propagation effects on the NASA SCaN testbed

Supporting Differentiated Service in Cognitive Radio Wireless Mesh Networks

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