New simple form for PDF and MGF of Rician fading distribution

Wongtrairat, Wannaree; Supnithi, Pornchai

doi:10.1109/ispacs.2011.6146087

Cited by 5 publications

(1 citation statement)

References 8 publications

(7 reference statements)

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“…The authors in [4] have analyzed a single input single output Orthogonal Frequency Division Multiplexing (OFDM) system in the combined effect of normalized Carrier Frequency Offset (CFO), phase noise and timing jitter in both Rayleigh and Rician fading channels. The authors in [5] have given the novel simple expressions for the pdf and the Moment Generating Function (MGF) of Rician fading. In all, the above researchers have only considered the static situation that the receiver and transmitter are fixed.…”

Section: Introductionmentioning

confidence: 99%

Effect of Mobile Wireless on Outage and BER Performances Over Rician Fading Channel

Yao

Wang

et al. 2020

IEEE Access

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Many researchers have analyzed the outage probability of wireless static networks over the Rician fading channel in recent years. However, few researchers consider the mobile wireless network models over the Rician fading channel environment. Due to the dynamic changing topologies of the mobile wireless networks, the methods used in the static wireless networks cannot be directly used in the mobile wireless networks. In this paper, we study the received power and the outage probability over Rician fading channel under the mobile wireless network scenarios. We analyze the Probability Density Function (pdf) of the received power and also give out a calculation formula of the outage probability of the Rician fading channel. Besides, we have considered the Random Way-Point (RWP) model and path loss exponent of onedimensional(1-D), two-dimensional(2-D) and three-dimensional(3-D) development of nodes. We compare with the influences of the system parameters on the outage probability as well as the influences of the parameters of path loss. We also use the Bit Error Ratio (BER) to evaluate this fading channel. The simulation results indicate that the outage probability is much better when compared with η − µ fading channel for the same signal in this paper. Besides, the performance of the outage probability is different for different dimension modes. Especially, the 1-D model has the best outage probability when compared with 2-D and 3-D situations. The simulation results also indicate that the maximum value of the pdf in a given range for the received power is different under the different dimensions. That is to say, for the 1-D, the range of peak value is from 5 to 10, while for the 2-D and 3D, this range is changed from 10 to 20. INDEX TERMS Mobile wireless networks, Rician fading channel, random way-point (RWP), probability density function (pdf), outage probability.

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Section: Introductionmentioning

confidence: 99%

Effect of Mobile Wireless on Outage and BER Performances Over Rician Fading Channel

Yao

Wang

et al. 2020

IEEE Access

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Spectrum sensing challenges & their solutions in cognitive radio based vehicular networks

Hossain

Noor

Azzuhri

et al. 2021

Int J Communication

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Summary Vehicular ad hoc network (VANET) has been established to mitigate road collisions and traffic congestion and provide infotainment facilities to users. Allocated channels to VANET, which is the DSRC (Dedicated Short‐Range Communication), are not adequate for the full implementation of VANET. Cognitive radio (CR) can be used to alleviate this issue. CR is a programmable and intelligent radio system capable of reaching various frequency ranges. CR needs to conduct spectrum sensing to get these bands. A vehicle fitted with a CR can sense the licensed spectrum to locate the vacant spectrum (which is not used by any licensed user) when the DSRC is wholly occupied. Compared to other CR networks, VANET faces specific additional difficulties related to spectrum sensing, such as periodic topological shifts due to high‐speed mobility, multipath fading and shadowing issues, and heterogeneous quality of service (QoS) specifications. This paper explains these problems in depth. All the problems and issues were explored from the perspective of the CR focused on VANET. Probable ideas and directions to overcome these problems have also been presented. We have provided a conceptual framework for spectrum sensing. The framework resolves a variety of issues and concerns that are discussed in the paper. It gives much better results than conventional sensing techniques.

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