Pairwise Error Probability Analysis of Dual Hop Relaying Network over Time Selective Nakagami-m Fading Channel with Imperfect CSI and Node Mobility

Shankar, Ravi; Kumar, Indrajeet; Mishra, Ritesh Kumar

doi:10.18280/ts.360312

Cited by 14 publications

(10 citation statements)

References 20 publications

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“…x  represents the Gamma function [42] and ( ) n x denotes the descending factorial [44][45], expressed as, ( )…”

Section:  −   mentioning

confidence: 99%

“…In the development of efficient wireless communication schemes & protocols, accurate stochastic modeling is subsequently very critical. In the literature, a variety of stochastic/statistical distributions have been developed to model the small-scale fluctuations in the transmitted signal envelope over fading channels, such as Nakagami-m, Rayleigh and Weibull [24][25][26]. None of the stochastic model described, however, captures the non-linearity of the medium of propagation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Selective-Decode and Forward Relaying Protocol over k-µ Fading Channel Distribution

Shankar¹,

Bhardwaj²,

Mishra³

2020

JTIT

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In this work, we examine the performance of selective-decode and forward (S-DF) relay systems over κ-µ fading channel condition. We discuss about the probability density function (PDF), system model, and cumulative distribution function (CDF) of κ-µ distributed envelope and signal to noise ratio (SNR) and the techniques to generate samples that follow κ-µ distribution. Specifically, we consider the case where the source-torelay (S→R), relay-to-destination (R→D) and source-to-destination (S→D) link is subject to the independent and identically distributed (i.i.d.) κ-µ fading. From the simulation results, the enhancement in the symbol error rate (SER) with a stronger line of sight (LOS) component is observed. This shows that S-DF relaying systems can perform well even in the non-fading or LOS conditions. Monte Carlo simulations are conducted for various values of fading parameters and the outcomes closely match with theoretical outcomes which validate the derivations.Keywords: multiple input multiple output, selective decode and forward, symbol error rate, channel fading, relaying protocol, signal to noise ratio, channel state information. IntroductionThe 5 th generation (5G) wireless communication systems will require a major paradigm shift to meet the increasing demand for reliable connectivity through high data rates, low latency, better energy efficiency, and Femto cell-based relays [1][2][3]. These relay nodes are equipped with energy harvesting (EH) techniques in the relaying network to improve energy efficiency. Cooperative communication is the natural choice for 5G wireless communication system, and it is adopted in 3 rd generation partnership project (3GPP), universal mobile telecommunications service (UMTS), long term evolution (LTE)-Advanced and IEEE 802.11 because the nodes in the cooperative communication network can share their resources with each other during the signal transmission [4][5][6]. Also, it is incorporated into numerous 5G wireless applications, such as machine-to-machine (M2M), device-to-device (D2D), cognitive radio (CR), high speed terrestrial network (HSTN) & free space optical (FSO) communication [7][8][9][10].Relay-assisted cooperation is the first step towards the 5G system that is expected to deliver up to 20Gbps in downlink (D/L) and 10Gbps in uplink (U/L) will be benchmarked by network operators during initial rollouts in the next few years [11][12]. The relay infrastructure does not need wired network connection, thus offering a reduction in the backhaul costs of the operator. Through the additional cooperative diversity inherent in such wireless systems, cooperative wireless communication significantly improves end-to-end reliability. If the direct source-to-destination (SD) channel is in a deep fade, the main advantage of the cooperative communication is that the destination node can still receive the source signal via the relay node.According to the signal receiving and transmitting, there are two basic methods of relaying: analog & digital. Analog relaying is also called no...

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“…x  represents the Gamma function [42] and ( ) n x denotes the descending factorial [44][45], expressed as, ( )…”

Section:  −   mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Selective-Decode and Forward Relaying Protocol over k-µ Fading Channel Distribution

Shankar¹,

Bhardwaj²,

Mishra³

2020

JTIT

Self Cite

View full text Add to dashboard Cite

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“…If mobility is also considered in the real outdoor environment scenario, then mobility of the user equipment (UE) and cooperative user equipment's working as relay nodes produces Doppler effect. Doppler effect causes time-selective fading [4][5][6], therefore worse the satellite to destination performance. The investigation of the outcome of node mobility and the associated time-selective fading connections on HSTC is summarized in Refs.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of HSTC Network with Non-Static Terrestrial Nodes in a Fading Environment

Mishra¹,

Mishra²

2022

RIA

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In this paper, Hybrid satellite-terrestrial systems (HSTC) are preferred in dynamic type environments with high mobility of nodes due to the performance enhancement features in multiple relay-based selective decode-and-forward (DF) approach. Because of the satellite link, aerial satellite to destination and satellite to relay links, are not the same due to time-selective shadowed Rician fading. Time-selective Rician fading depends on parameters like the angle of elevation of the satellite, the terrestrial relay node, and the node destination links, considered to be distinctively time-selective Nakagami faded. Here, per-frame average symbol error rate (SER) and outage probability are derived in a closed-form expression with consideration of M-ary PSK modulated symbols transmission. After evaluation, it was detected that the system performance is significantly degraded due to the time-varying nature of the links (dynamic environment). After various simulations and calculations, it was established that the error rate of the HSTC is significantly low by increasing the elevation angle of the satellite on the relay point. The performance enhancement can be observed by enhancing the satellite angle at the destination node of user equipment.

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“…The non-orthogonal multiple access (NOMA) technique greatly increases end-to-end system performance from fifth generation (5G) to beyond 5G wireless networks. [1][2][3][4] The multiple access (MA) technique is employed in a cellular user objective network for military ultra-high frequency satellite communication in previous commercial wireless networks, for example, fourth generation (4G) wireless communication. [5][6][7][8] For commercial purposes, several of the recently suggested NOMA strategies are taken into consideration, and NOMA can also be found in existing defense networks.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the fifth generation non-orthogonal multiple access technique for defense applications using deep learning

Malladi¹,

Beuria

Ravi³

et al. 2021

Journal of Defense Modeling & Simulation

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In modern wireless communication scenarios, non-orthogonal multiple access (NOMA) provides high throughput and spectral efficiency for fifth generation (5G) and beyond 5G systems. Traditional NOMA detectors are based on successive interference cancellation (SIC) techniques at both uplink and downlink NOMA transmissions. However, due to imperfect SIC, these detectors are not suitable for defense applications. In this paper, we investigate the 5G multiple-input multiple-output NOMA deep learning technique for defense applications and proposed a learning approach that investigates the communication system’s channel state information automatically and identifies the initial transmission sequences. With the use of the proposed deep neural network, the optimal solution is provided, and performance is much better than the traditional SIC-based NOMA detectors. Through simulations, the analytical outcomes are verified.

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Pairwise Error Probability Analysis of Dual Hop Relaying Network over Time Selective Nakagami-m Fading Channel with Imperfect CSI and Node Mobility

Cited by 14 publications

References 20 publications

Analysis of Selective-Decode and Forward Relaying Protocol over k-µ Fading Channel Distribution

Analysis of Selective-Decode and Forward Relaying Protocol over k-µ Fading Channel Distribution

Performance Analysis of HSTC Network with Non-Static Terrestrial Nodes in a Fading Environment

Investigation of the fifth generation non-orthogonal multiple access technique for defense applications using deep learning

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