scholarly journals The Rayleigh Birnbaum Saunders Distribution: A General Fading Model

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 389 ◽  
Author(s):  
Emilio Gómez-Déniz ◽  
Luis Gómez
Keyword(s):  
Closed Form ◽  
Lognormal Distribution ◽  
Fading Channel ◽  
Wireless Channels ◽  
Symmetric Distribution ◽  
Average Ber ◽  
New Distribution

A new compound non-symmetric distribution for modeling arbitrary fading-shadowing wireless channels is introduced and studied here. This distribution has some advantages in front of other well-known non-symmetric fading distributions such as the Rayleigh–lognormal distribution and the K distribution especially in the tails. We give closed-form expressions for the average BER of DPSK and MSK when the new distribution is used. Applications to compare how the new distribution works in comparisons with the Rayleigh–lognormal, K distributions and others recently proposed in the literature of fading channel are also provided.

Average BER and Noisy Reference Loss of Partially Coherent PSK Demodulation Over Shadowed Multipath Fading Channel

2018 ◽  
Vol 67 (8) ◽  
pp. 7831-7835 ◽  
Author(s):  
Jelena A. Anastasov ◽  
Zvezdan M. Marjanovic ◽  
Dejan N. Milic ◽  
Goran T. Djordjevic
Keyword(s):  
Fading Channel ◽  
Multipath Fading ◽  
Multipath Fading Channel ◽  
Partially Coherent ◽  
Average Ber

Modelling Rayleigh Fading Channel in Underwater Wireless Communication Networks using Stochastic Network Calculus

2017 ◽  
Vol 84 (1-2) ◽  
pp. 29 ◽  
Author(s):  
M. R. Christhu Raj ◽  
Rajeev Sukumaran
Keyword(s):  
Communication Networks ◽  
Fading Channel ◽  
Wireless Channels ◽  
Network Performance ◽  
Wireless Channel ◽  
Network Calculus ◽  
Stochastic Network ◽  
Underwater Acoustic ◽  
Simulation Performance ◽  
Stochastic Network Calculus

A fundamental issue in underwater acoustic wireless channels is in analyzing the backlog and delay bounds that directly impacts the Quality of Service (QoS) performance in networks. Modern networks have been increasingly complex over the past few years in terms of control algorithms, applications and service expectations. Deterministic Networks Calculus (DNC) is not applicable to analyze QoS for the present day packet switched multimedia networks due to their inherently random behavior. To overcome these issues, Stochastic Network Calculus (SNC) has given rise to the optimism that it can emerge as an elegant mathematical modeling tool for assessing current network performance. In this work, we develop an underwater acoustic wireless channel subject to fading eects based on SNC that obtains Stochastic Arrival Curve (SAC) and Stochastic Service Curve (SSC). Using this we also derive the stochastic performance for delay and backlog bounds in underwater acoustic fading channel. The simulation performance analysis and bounds show that this method can provide guidelines for designing transmission strategies in underwater acoustic wireless channels.

A New Closed-Form Expressions of Channel Capacity with MRC, EGC and SC Over Lognormal Fading Channel

2017 ◽  
Vol 97 (3) ◽  
pp. 4183-4197 ◽  
Author(s):  
Diwaker Tiwari ◽  
Sanjay Soni ◽  
Puspraj Singh Chauhan
Keyword(s):  
Closed Form ◽  
Channel Capacity ◽  
Fading Channel

scholarly journals Spectrum Opportunity Detection in Cellular Networks

2019 ◽  
Vol 9 (2) ◽  
pp. 2395-2399
Keyword(s):  
Cellular Networks ◽  
Fading Channel ◽  
Cellular Network ◽  
Wireless Channels ◽  
Research Work ◽  
Signal Propagation ◽  
Spatial Spectrum ◽  
Primary Users ◽  
Detection Probabilities ◽  
Better Than

The signal propagation over wireless channels cannot be predicted perfectly due to numerous factors such as fading, channel interference and obstacles. An interference footprint is required to be estimated accurately for evaluation of the spatial spectrum opportunity. It is difficult to determine the spatial spectrum opportunities available in uplink bands of cellular networks due to different location of primary users at different times. In this research work, spatial spectrum opportunity in uplink bands of cellular network is determined using an efficient computational geometry tool for realistic scenario. Our results shows that the performance of umbrella footprints based approach is better than that of conventional circular footprints based approach in terms of false alarm and missed detection probabilities.

scholarly journals MGF-based Analysis of Maximum Ratio Combining Receiver over Fisher-Snedecor Composite Fading Channel

2019 ◽  
Vol 8 (9S) ◽  
pp. 1-9
Keyword(s):  
Closed Form ◽  
Error Rate ◽  
Fading Channel ◽  
Symbol Error Rate ◽  
Closed Form Expression ◽  
Small Scale ◽  
Fixed Rate ◽  
Maximum Ratio Combining ◽  
Composite Fading ◽  
Composite Fading Channel

Fisher Snedecor composite fading model is the combination of Nakagami-m and inverse Nakagami-m distribution. The Nakagami-m is used to characterize the small scale fading, whereas shadowing is modeled by inverse Nakagami-m distribution. In this paper, the closed-form expression for moment generating function (MGF) of instantaneous signal to noise ratio (SNR) over independent identically distributed (i.i.d) Fisher-Snedecor composite fading channel using maximum ratio combining (MRC) diversity technique is derived. By using newly derived MGF expression, we derive the closed-form expressions of average bit error rate (ABER) or average symbol error rate (ASER) for different binary and multilevel modulation schemes. The expressions for average channel capacity (ACC) under two adaptive transmission protocols like optimum rate adaption (ORA) and channel inversion with fixed rate (CIFR) are also derived using proposed MGF. Further, the numerical results of newly derived expression are presented and compared with the results of Rayleigh and Nakagami-m distribution which is the special case of Fisher Snedecor composite fading model.

scholarly journals The Slashed-Rayleigh Fading Channel Distribution

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
E. Gómez-Déniz ◽  
L. Gómez ◽  
H. W. Gómez
Keyword(s):  
Fading Channel ◽  
Rayleigh Fading ◽  
Phase Shift Keying ◽  
Differential Phase Shift ◽  
Practical Applications ◽  
Differential Phase Shift Keying ◽  
Average Channel Capacity ◽  
Shift Keying ◽  
Gaussian Stochastic Processes ◽  
New Distribution

We propose an alternative distribution for modelling fading-shadowing wireless channels. This distribution presents certain advantages over the Rayleigh-lognormal distribution and the K distribution and has proved useful in the setting described. We obtain closed-form expressions for the average channel capacity and for the average bit error rate of differential phase-shift keying and of minimum shift keying when the new distribution is used. This distribution can be obtained exactly as the sum of mutual independent Gaussian stochastic processes, because it must represent the simulation of the fading channel; that is, it simulates the signal envelope. Finally, we describe practical applications of this distribution, comparing it with the Rayleigh-lognormal and K distributions.

Optimal SP Training and Precoding Designs for Channel Estimation and Symbol Detection in MIMO-OFDM Systems

2015 ◽  
Vol 1 ◽  
pp. 34
Author(s):  
Nguyen N. Tran ◽  
Dang L. Khoa ◽  
Vo T. Tri ◽  
Ha X. Nguyen
Keyword(s):  
Channel Estimation ◽  
Fading Channel ◽  
Wireless Channels ◽  
Training Sequence ◽  
Ofdm Systems ◽  
Frequency Selective Fading ◽  
Symbol Detection ◽  
Source Data ◽  
Mimo Ofdm ◽  
Wireless Fading Channel

Based on convex programming for optimization, a closed-from solution of superimposed (SP) training on linearly precoded data for jointly optimal channel estimation and symbol detection is proposed in this paper for MIMO-OFDM systems. The newly designed method not only efficiently identifies the frequency-selective fading channel but also effectively enhances the symbol detection. Although linearly precoding technique is employed and protects the transmitted data over the multi-path MIMO wireless channels, the precoded data is always arithmetically added to the training sequence to prevail transmission bandwidth. Analytical and numerical results confirm that the proposed design efficiently estimates the wireless fading channel and effectively recovers the source data symbols.

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