Performance of Signal-to-Noise Ratio Estimator with Adaptive Modulation

Lye, Scott Carr Ken; Arifianto, Mohammad Sigit; Yew, Hoe Tung; Liau, Chung Fan; Teo, Kenneth Tze Kin

doi:10.1109/ams.2012.40

Cited by 23 publications

(4 citation statements)

References 13 publications

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“…It can pair with adaptive modulation and coding schemes to overcome the uncertainties in time-varying conditions. Other applications of SNR information include: information in tactical applications, jamming analysis, and electronic surveillance system [15].…”

Section: Performance Of M-ary Psk With Coding Adaptationmentioning

confidence: 99%

Analysis and performance measurement of adaptive modulation and coding

Lye

Tan

Siew

et al. 2012

2012 IEEE International Conference on Control System, Computing and Engineering

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Wireless spectrum is considered a limited and valuable communications resource as it influences productivity, security and our daily lives. The usage of the wireless spectrum has been given much research focus due to its limited capacity. There is currently a large amount of white spaces and spectrum holes left unused. Therefore, researchers are motivated to invent methods to utilize the spectrum more efficiently and opportunistically. Adaptive modulation and coding (AMC) is a method which adapts its transmitting parameters according to the channel state and it is used in various modern wireless communications to maximize spectrum efficiency and minimize error rate. One of the driving strengths of AMC is the Signal-to-Noise Ratio (SNR) estimation and feedback channel for adaptation. Sudden timevarying channel degrading effects sometimes require the transmission link to react appropriately so it can minimize the Bit Error Rate (BER). Thus, the objective of this paper introduces an AMC scheme which utilizes a simple moments based SNR estimator and punctured convolutional coding for spectral and quality improvement for the wireless channel.

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Section: Performance Of M-ary Psk With Coding Adaptationmentioning

confidence: 99%

Analysis and performance measurement of adaptive modulation and coding

Lye

Tan

Siew

et al. 2012

2012 IEEE International Conference on Control System, Computing and Engineering

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“…The overall performance of satellite communication network is generally presented in terms of carrier power above the noise level. The carrier to noise ratio (C/N) of any radio frequency (RF) signal and the bit energy to noise density (Eb/No) for digital system are important performance parameters to consider for optimal data rate [10]. Studies have shown that link availability above the threshold is critical for quality of service in terms carrier power above the system noise level [11].…”

Section: Introductionmentioning

confidence: 99%

Rain attenuation in broadband satellite service and worst month analysis

Abubakar

Din

Lam

et al. 2019

IJEECS

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<span>Satellite link design, link margin and services at lower bands of satellite spectrum has been facing the challenges of meeting the demands for higher bandwidth requirements. Satellite operators and service providers are been compelled to migrate to the use of higher frequencies above 10 GHz. These higher frequencies were discovered to be vulnerable to atmospheric degradation creating the challenge of service availability especially for tropical rain zones with higher rainfall intensities and longer rain event durations. This study strive to evaluate the profile of rainfall and the monthly and annual variability to improve the design parameters of satellite propagation. Two yeas rainfall measurement campaign was conducted in Abuja at Nigcomsat-1R ground station with a view to understanding the characteristics of Abuja rain. The location of the site is on lat. 9.06o N and lon. 7.48o E. Tipping bucket rain gauge was used for point rain rate and 1.8 m VSAT antenna was installed to monitor the rain induced attenuation on satellite broadband signal. The results shows a huge variability between month to month as well as annual average between 2016 and 2017. The performance of broadband satellite service was found to largely to depend on the quality of the carrier power above the system noise rather than bandwidth capacity or the receive signal level while higher attenuations are associated with higher rain intensities and the slant path effects.</span>

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“…In [ 12 ], the authors suggested preamble-aided channel quality estimation (i.e., DA-SNR) as a metric for channel adaptation to improve the link quality under dynamic interference of WSN. In [ 13 ], the authors explored the scheme by evaluation DA-SNR to select the modulation order for the transmitter; and Hanzo and Torabi et al [ 14 , 15 ] optimized the switching levels of DA-SNR to improve the throughput performance. However, DA-SNR-AM research mostly focuses on DA-SNR estimation and switching level optimization for certain special channels, such as additive white Gaussian noise (AWGN) and Rayleigh fading channels, which cannot provide the general model for NLOS propagation scenario in a realistic WSN.…”

Section: Introductionmentioning

confidence: 99%

A Novel Adaptive Modulation Based on Nondata-Aided Error Vector Magnitude in Non-Line-Of-Sight Condition of Wireless Sensor Network

Yang

Zeng

Mao

et al. 2018

Sensors

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The high demand for multimedia applications in environmental monitoring, invasion detection, and disaster aid has led to the rise of wireless sensor network (WSN). With the increase of reliability and diversity of information streams, the higher requirements on throughput and quality of service (QoS) have been put forward in data transmission between two sensor nodes. However, lower spectral efficiency becomes a bottleneck in non-line-of-sight (NLOS) transmission of WSN. This paper proposes a novel nondata-aided error vector magnitude based adaptive modulation (NDA-EVM-AM) to solve the problem. NDA-EVM is considered as a new metric to evaluate the quality of NLOS link for adaptive modulation in WSN. By modeling the NLOS scenario as the η−μ fading channel, a closed-form expression for the NDA-EVM of multilevel quadrature amplitude modulation (MQAM) signals over the η−μ fading channel is derived, and the relationship between SER and NDA-EVM is also formulated. Based on these results, NDA-EVM state machine is designed for adaptation strategy. The algorithmic complexity of NDA-EVM-AM is analyzed and the outage capacity of NDA-EVM-AM in an NLOS scenario is also given. The performances of NDA-EVM-AM are compared by simulation, and the results show that NDA-EVM-AM is an effective technique to be used in the NLOS scenarios of WSN. This technique can accurately reflect the channel variations and efficiently adjust modulation order to better match the channel conditions, hence, obtaining better performance in average spectral efficiency.

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Performance of Signal-to-Noise Ratio Estimator with Adaptive Modulation

Cited by 23 publications

References 13 publications

Analysis and performance measurement of adaptive modulation and coding

Analysis and performance measurement of adaptive modulation and coding

Rain attenuation in broadband satellite service and worst month analysis

A Novel Adaptive Modulation Based on Nondata-Aided Error Vector Magnitude in Non-Line-Of-Sight Condition of Wireless Sensor Network

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