Fading and Shadowing in Wireless Systems

Shankar, P.M.

doi:10.1007/978-1-4614-0367-8

Cited by 140 publications

(135 citation statements)

References 220 publications

(317 reference statements)

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“…In order to mitigate difficulty to derive close form of some metric performance measure, using the moment matching method, it was argued that a gamma shadowing is an excellent match to the lognormal shadowing seen in wireless systems [20], so Gamma distribution used to model the average power random variations given as follows…”

Section: 2mentioning

confidence: 99%

Image Transmission using M-QAM OFDM System over Composite Fading Channel

Tuli¹,

Kumar²,

Sharma³

2014

IOSRJECE

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Section: 2mentioning

confidence: 99%

Image Transmission using M-QAM OFDM System over Composite Fading Channel

Tuli¹,

Kumar²,

Sharma³

2014

IOSRJECE

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“…Multipath fading is captured by several distributions like Rayleigh, Weibull, Nakagami-m and Hoyt. Hoyt distribution is commonly used to model the short-term fading characteristics of wireless communication systems with more severe fading conditions [2], [3]. Closed-form expressions for probability distribution function (PDF), moment generating function (MGF) and high-order moments of Hoyt distribution were obtained in [1], [4], and the expression for cumulative distribution function (CDF) was presented in [5].…”

Section: Introductionmentioning

confidence: 99%

Micro-Diversity Analysis of Error Probability and Channel Capacity over Hoyt-Gamma Fading

Kumar¹,

Soni²,

Jain³

2017

RADIOENGINEERING

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“…The small scale fading results in two manifestations mechanism namely time-spreading of signal and time-variation with respect to propagating channel. The multipath fading channel characterization depicted in Figure 1.The paper focuses on study of the channel characterization based on the physical phenomenon such as multipath propagation, type of terrains, and Doppler shift due to motion of the mobile [17]. The paper further aims in developing a radio channel model and examining the impact of various parameters on the behavior of the channel under the varying environmental state of affairs over which the wireless communication network operate.…”

Section: Introduction Background and Motivationmentioning

confidence: 99%

A Performance Evaluation of Multi-User Time-Variant Multipath Channel Model Operating at 2400MHz and 5300MHz for Various Power Spectrum

Ramakrishna¹,

Priyatamkumar²

2017

IJET

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--There has been a significant advancement in the field of wireless communication networks. The main aim of the development is to provide a higher data rates even under complex channel environments. This has necessitated in modeling the propagation channel under complex environmental conditions. The paper focuses on developing a channel model and scrutinizes the effect of various channel impairments under adverse environments in which mobile networks operate. The physical environmental phenomena considered are types of terrains, Doppler shift, multipath fading and propagation. A tapped delay line based channel line model has been implemented and analyzed and the performance of the channel was studied for time variant input. In the results of the simulation it was observed that there is no significant influence of carrier frequency and the number of taps needed in TDL comes to be around 8. Considering the environments with respect to the mobility it is observed that Jakes Doppler Spectrum is best suitable for intense mobility urban environmental conditions. Whereas the Gaussian Doppler spectrum is observed to be best suitable for low mobility urban environments and for hilly terrain under low and high mobility.Keywords -Complex channel environments, Channel model, Doppler shift, Tapped Delay Line (TDL) , Jakes Doppler Spectrum,Gaussian Doppler spectrum. I. INTRODUCTION BACKGROUND AND MOTIVATIONOne of the prime significant factors that affect the radio wave propagation through wireless channels is multipath fading and the shadowing. The nature of the wireless signal are due to numerous phenomena such as line of sight path linking the transceiver antennas, reflection, refraction and diffraction, the relative motion between the transceivers, the attenuation of the signal as it travels through the medium and finally the noise induced in the propagating signal. In order to obtain the reliable commutation over a wireless communication system, propagation channel plays a very vital role in accurately recovering the transmitted signal at the receiver end as most of the above mentioned factors are main contributors that affect the propagation channel. Thus this has paved in flawless characterization and modeling of propagation channel under complex time-varying environments. The multipath fading is due to the arrival of signals with different amplitudes and phase at the receiver side. The broad categorization of such a fading signal is Large Scale Fading and Small Scale Fading. The representation of the path loss due to motion over a large surface area is coined as Large Scale Fading. The result of small changes due to the spatial separation between transceivers will creates a rapid fluctuations in signal phase and amplitude is termed as Small Scale Fading. The small scale fading results in two manifestations mechanism namely time-spreading of signal and time-variation with respect to propagating channel. The multipath fading channel characterization depicted in Figure 1.The paper focuses on study of the channel ...

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Fading and Shadowing in Wireless Systems

Cited by 140 publications

References 220 publications

Image Transmission using M-QAM OFDM System over Composite Fading Channel

Image Transmission using M-QAM OFDM System over Composite Fading Channel

Micro-Diversity Analysis of Error Probability and Channel Capacity over Hoyt-Gamma Fading

A Performance Evaluation of Multi-User Time-Variant Multipath Channel Model Operating at 2400MHz and 5300MHz for Various Power Spectrum

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