An approximate statistical analysis of wireless channel over α  −  μ shadowed fading channel

Author(s):  
Vipin Kumar Upaddhyay ◽  
Sanjay K. Soni ◽  
Puspraj Singh Chauhan
Electronics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 658
Author(s):  
Zuhaibuddin Bhutto ◽  
Wonyong Yoon

In this paper, we analyze the performance of a dual-hop cooperative decode-and-forward (DF) relaying system with beamforming under different adaptive transmission techniques over κ − μ shadowed fading channels. We consider multiple antennas at the source and destination, and communication takes place via a single antenna relay. The published work in the literature emphasized the performance analysis of dual-hop DF relaying systems, in conjunction with different adaptive transmission techniques for classical fading channels. However, in a real scenario, shadowing of the line-of-sight (LoS) signal is caused by complete or partially blockage of the LoS by environmental factors such as trees, buildings, mountains, etc., therefore, transmission links may suffer from fading as well as shadowing, either concurrently or separately. Hence, the κ − μ shadowed fading model was introduced to emulate such general channel conditions. The κ − μ shadowed fading model is a general fading model that can perfectly model the fading and shadowing effects of the wireless channel in a LoS propagation environment, and it includes some classical fading models as special cases, such as κ − μ , Rician, Rician-shadowed, Nakagami- m ^ , One-sided Gaussian, and Rayleigh fading. In this work, we derive the outage probability and average capacity expressions in an analytical form for different adaptive transmission techniques: (1) optimal power and rate adaptation (OPRA); (2) optimal rate adaptation and constant transmit power (ORA); (3) channel inversion with a fixed rate (CIFR); and (4) truncated channel inversion with a fixed rate (TIFR). We evaluate the system performance for different arrangements of antennas and for different fading and shadowing parameters. The obtained analytical expressions are verified through extensive Monte Carlo simulations.


2017 ◽  
Vol 84 (1-2) ◽  
pp. 29 ◽  
Author(s):  
M. R. Christhu Raj ◽  
Rajeev Sukumaran

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.


Author(s):  
Akhil Gupta ◽  
Shiwani Dogra ◽  
Ishfaq Bashir Sofi

Background & Objective: In this paper, Multiple Input Multiple Output (MIMO) has been examined in wireless medium by utilizing Spatial Multiplexing procedure for the computation of the Bit Error Rate (BER). MIMO enhance the throughput in wireless medium. Spatial multiplexing builds the limit and link reliability of the MIMO frameworks. Methods: The BER execution of DPSK, Phase Shift Keying (PSK) and Quadrature Amplitude Modulation (QAM) in MIMO frameworks in Rayleigh multipath channel is analyzed. Zero forcing algorithms is utilized as a detection technique. A comparison of these modulations is additionally done in Rayleigh fading channel. Conclusion: The execution of transmission modes are assessed by figuring the likelihood of Bit Error Rate (BER) vs. the Signal Noise Ratio (SNR) under the every now and utilized four wireless channel models (Rayleigh, Dent, Jake’s and Okumura).


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