Error probability and channel capacity analysis of wireless system over inverse gamma shadowed fading channel with selection diversity

2019 ◽  
Vol 32 (16) ◽  
pp. e4083 ◽  
Author(s):  
Diwaker Pant ◽  
Puspraj Singh Chauhan ◽  
Sanjay Kumar Soni
Keyword(s):  
Channel Capacity ◽  
Fading Channel ◽  
Error Probability ◽  
Capacity Analysis ◽  
Wireless System ◽  
Selection Diversity ◽  
Inverse Gamma ◽  
Shadowed Fading

BER and channel capacity analysis of wireless system over $${\kappa -\mu /}$$inverse gamma and $${\eta -\mu /}$$inverse gamma composite fading model

2021 ◽  
Author(s):  
Diwaker Pant ◽  
Puspraj Singh Chauhan ◽  
Sanjay Kumar Soni ◽  
Sanjeev Naithani
Keyword(s):  
Channel Capacity ◽  
Capacity Analysis ◽  
Wireless System ◽  
Inverse Gamma ◽  
Composite Fading

New Accurate Approximation for Average Symbol Error Probability Under κ-μ Shadowed Fading Channel

2020 ◽  
Author(s):  
Yassine Mouchtak ◽  
Faissal El Bouanani
Keyword(s):  
Fading Channel ◽  
Error Probability ◽  
Additive White Gaussian Noise ◽  
Upper And Lower Bounds ◽  
Symbol Error Probability ◽  
M Phase ◽  
Shift Keying ◽  
Shadowed Fading ◽  
Modulation Schemes ◽  
Average Symbol Error Probability

Abstract This paper proposes new accurate approximations for average symbol error probability (ASEP) of a communication system employing either M-phase-shift keying (PSK) or differential quaternary PSK (DQPSK) modulation schemes, with Gray coding over κ-μ shadowed fading channel. Firstly, new accurate approximations of symbol error probability (SEP) of both modulation schemes are derived over additive white Gaussian noise (AWGN) channel. Leveraging the trapezoidal integral method, a tight SEP's approximation for M-PSK modulation is presented, while new upper and lower bounds for Marcum $Q$-function of the first order (MQF), and subsequently those for SEP under DQPSK scheme, are proposed. Next, these bounds are linearly combined to propose a highly accurate SEP's approximation. The key idea manifested in the decrease property of modified Bessel function $I_{v}$, strongly related with MQF, with its argument v. Finally, theses approximations are used to tackle ASEP's approximation under $\kappa-\mu$ shadowed fading. Numerical results show the accuracy of the presented approximations compared to the exact ones.

Retraction: Iterative Transmit/Receive Antenna Selection in MIMO Systems Based on Channel Capacity Analysis

2011 ◽  
Vol E94.B (3) ◽  
pp. 844-847
Author(s):  
Peng LAN ◽  
Ju LIU ◽  
Fenggang SUN ◽  
Peng XUE
Keyword(s):  
Channel Capacity ◽  
Mimo Systems ◽  
Antenna Selection ◽  
Capacity Analysis ◽  
Receive Antenna

Distributed MIMO System Design and Channel Capacity Analysis Based on Polar Orbit LEO Constellation

2021 ◽  
Vol 55 (6) ◽  
pp. 557-567
Author(s):  
Chi Zhang ◽  
Huan-yu Li ◽  
Hui Li ◽  
Zhi-yang Lin ◽  
Ping Wang
Keyword(s):  
System Design ◽  
Channel Capacity ◽  
Mimo System ◽  
Capacity Analysis ◽  
Polar Orbit

Block NLMS/F-based equalizer design and channel capacity analysis for indoor IEEE 802.11 fading wireless channels

2018 ◽  
Vol 13 (4) ◽  
pp. 693-701 ◽  
Author(s):  
Basabadatta Mohanty ◽  
Harish K. Sahoo ◽  
Bijayananda Patnaik
Keyword(s):  
Ieee 802.11 ◽  
Channel Capacity ◽  
Wireless Channels ◽  
Capacity Analysis

On achieving optimal channel capacity of MIMO-PSK systems over Rayleigh fading channel

2017 ◽  
Author(s):  
Sabuj Sarkar ◽  
Saikat Adhikary ◽  
Md. Mostafizur Rahman
Keyword(s):  
Channel Capacity ◽  
Fading Channel ◽  
Rayleigh Fading ◽  
Rayleigh Fading Channel
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