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

Abstract

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.

Performance Analysis of Wirelessly Powered Cognitive Radio Network with Statistical CSI and Random Mobility

“…The analytical results for the ergodic channel capacity for generalized fading distribution were presented in [41], and the effects of mobility were evaluated in [42] for the k-µ generalized fading model (including Nakagami-m and Rician fading distribution as special cases); in both papers, the movement of the mobile receiver was described using the RWP model. Another mobile wireless network with Rician fading distribution was discussed in [43], and closed-form expressions for the outage probability in an interference-limited environment with a Rician fading channel were derived. In [44], the impact of mobility on a generalized α-µ fading distribution was analyzed.…”

Evaluating the Mobility Impact on the Performance of Heterogeneous Wireless Networks Over η – μ Fading Channels

“…In a recent work [43], the authors considered a unity noise power for modeling the OP. In this work, considering a unity noise power, we formulated a closed-loop expression for the CDF as follows.…”

“…Here, B (•) [45] (42) and the definition of a beta function, K 1 in (41) can be reduced to the simplified version expressed in (43) and refer to Appendix C for details.…”

“…To adapt to advanced interference and mobility management techniques, next-generation networks were required in [42]. In a recent work [43], the researchers derived a novel-form expression for modeling the fading characteristic using a Rician fading channel. In the work, the dynamic and mobility characteristics of wireless networks are not modeled in their derivation.…”

Comparison of bit error rate (BER) in multipath phenomena Rayleigh and Rician using QPSK modulation in Multiple Input Multiple Output (MIMO) systems

“…Based on the Gamma distribution approximation of MMSE receiver output (Hama and Ochiai 2019) by applying the Rician and Rayleig multipath phenomena, using MIMO technology individually, where different types of modulations are included. For example, (Li et al 2020) determines that using Rician if the parameter K representing the Line of Sight (LOS) power ratio is smaller the BER also decreases.…”