Analysis of Drone assisted Network Coded Cooperation for Next Generation Wireless Network

Kumar, Pankaj; Singh, Prabhleen; Darshi, Sam; Shailendra, Samar

doi:10.1109/tmc.2019.2939308

Cited by 24 publications

(22 citation statements)

References 30 publications

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“…Assuming average channel gain remains constant for the duration of a packet (for a given drone height) and average noise power at D and R are same ( 2 = 2 RD = 2 SR ). Mean of the AF-noise is zero and the variance of AF-noise component at node D becomes [40] 2…”

Section: Description Of Da-ddccmentioning

confidence: 99%

“…We need to calculate the 1 st and 2 nd terms separately for obtaining the outage probability. Solution of the 1 st term can be obtained as [40] ℙ…”

Section: Outage Analysis Using Proposed Statistical Channel Modelmentioning

confidence: 99%

“…Using () and (), we can write

\begin{matrix} true \\ right P_{out}^{l_{1}, l_{2}} = \underset{1^{st}}{\underset{︸}{P (⋎_{SD}^{Ray} < T)}} \underset{2^{nd}}{\underset{︸}{P (⋎_{SRD}^{l_{1}, l_{2}} < T)}} . \end{matrix}

We need to calculate the 1 st and 2 nd terms separately for obtaining the outage probability. Solution of the 1 st term can be obtained as [40]

\begin{matrix} true \\ right double-struckP (() ⋎_{S D}^{R a y} < T) = 1 - e^{- λ_{S D} T}, \end{matrix}

where

λ_{S D} = \frac{σ_{D}^{2}}{{scriptP}_{S} d_{S D}^{- α}}

. To the best of our knowledge, solution of the 2 nd term is not available in the literature with the present form of ().…”

Section: Outage Analysis Using Proposed Statistical Channel Modelmentioning

confidence: 99%

“…2 RD = 𝜎 2 SR ). Mean of the AF-noise is zero and the variance of AF-noise component at node D becomes[40] …”

mentioning

confidence: 99%

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Drone assisted device to device cooperative communication for critical environments

2021

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This paper proposes drone assisted device-to-device cooperative communication (DA-DDCC) for critical situations during post-disaster management. The proposed network utilizes the autonomous mode of D2D communication for setting up the link in the absence of a central node. This network incorporates cooperative communication using drone in D2D session for improving reliability of the overall system. A probability-based statistical channel model for such networks is proposed by taking the statistical independence of links into consideration. Unlike the existing air-to-ground (A2G) channel models that use either Rayleigh or Rician distribution for uplink (UL) and downlink (DL) channel modelling, our approach takes the probability of occurrence of line of sight (LoS) into account while predicting the appropriate channel distribution for UL and DL separately. For performance evaluation of the proposed network, average outage probability and average capacity are derived using the proposed channel model. Monte Carlo simulations are conducted to verify our analysis. Moreover, a multi-cluster DA-DDCC scenario is also being analyzed through simulations from an interference perspective to justify the usefulness of the proposed channel model. Results obtained through this investigation can be utilized in selecting various crucial system parameters judiciously for enhanced performance during post-disaster scenario. 1 INTRODUCTION In recent years, fifth-generation (5G) and beyond 5G (B5G) technologies are being developed to increase the data rates and network capacity for conventional cellular networks. Multiple input multiple output (MIMO) and network traffic offloading techniques are used for achieving such objectives [1-3]. Equipping multiple antennas needs more hardware, cost, and size. Consequently, these methods are not preferred for most of the battery operated tiny devices. To enhance the cellular network performance, traffic offloading techniques are also used in literature. Traffic offloading may be achieved mainly by two methods, one is through small cell (micro/pico/femto) deployment in macro-cells and the other is using device-to-device (D2D) communications [4]. However, the first method may be inconvenient due to a lack of dynamism that occurs because of This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Description Of Da-ddccmentioning

confidence: 99%

“…We need to calculate the 1 st and 2 nd terms separately for obtaining the outage probability. Solution of the 1 st term can be obtained as [40] ℙ…”

Section: Outage Analysis Using Proposed Statistical Channel Modelmentioning

confidence: 99%

“…Using () and (), we can write

\begin{matrix} true \\ right P_{out}^{l_{1}, l_{2}} = \underset{1^{st}}{\underset{︸}{P (⋎_{SD}^{Ray} < T)}} \underset{2^{nd}}{\underset{︸}{P (⋎_{SRD}^{l_{1}, l_{2}} < T)}} . \end{matrix}

We need to calculate the 1 st and 2 nd terms separately for obtaining the outage probability. Solution of the 1 st term can be obtained as [40]

\begin{matrix} true \\ right double-struckP (() ⋎_{S D}^{R a y} < T) = 1 - e^{- λ_{S D} T}, \end{matrix}

where

λ_{S D} = \frac{σ_{D}^{2}}{{scriptP}_{S} d_{S D}^{- α}}

. To the best of our knowledge, solution of the 2 nd term is not available in the literature with the present form of ().…”

Section: Outage Analysis Using Proposed Statistical Channel Modelmentioning

confidence: 99%

“…2 RD = 𝜎 2 SR ). Mean of the AF-noise is zero and the variance of AF-noise component at node D becomes[40] …”

mentioning

confidence: 99%

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Drone assisted device to device cooperative communication for critical environments

2021

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“…Besides, the Weibull channel is chosen for the source to relay and the source to the destination connection, and the Rician channel for relay to the destination link. Drone-based network coded cooperative communication has been analyzed in [24]. In [25], researchers have proposed a novel drone assisted network coded cooperation and analysed network coded noise expression.…”

Section: Introductionmentioning

confidence: 99%

Outage and Rate Evaluation of Drone based Decode and Forward Cooperation for Hybrid Fading Channels

Goel¹,

Gupta

2021

JCOMSS

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In this paper, we consider a drone as a relay in Cooperative Communication (CC) to improve the network performance in an upcoming wireless network. Drone Assisted CC (DA-CC) is more useful when the central coordinator (base station) gets disrupted. In such a scenario, the drone works as an aerial relay and provides CC diversity to the end-users. In this article, a Decode-and-Forward (DF) protocol is used as a relaying scheme at the drone, and the Maximal Ratio Combining (MRC) scheme is used at the end-users for combining the direct and relayed signal. Here, we assume Nakagami faded channel among Airto-Ground (A2G) links and Rayleigh faded distribution between Ground-to-Ground (G2G) links. The performance of DA-CC is evaluated in a hybrid channel environment and compared based on drone height, rate, horizontal distance, and transmitted power with the existing Rayleigh and Nakagami faded distributions. The analytical expression of outage probability and the rate have been derived for analysis purposes, and Monte-Carlo simulations are used to verify the analytical results. This work can have security and surveillance applications to improve the network performance in the absence of a central base station.

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Terahertz Multivariate Spectral Analysis and Molecular Dynamics Simulations of Three Pyrethroid Pesticides

Lin

et al. 2018

J Infrared Milli Terahz Waves

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Analysis of Drone assisted Network Coded Cooperation for Next Generation Wireless Network

Cited by 24 publications

References 30 publications

Drone assisted device to device cooperative communication for critical environments

Drone assisted device to device cooperative communication for critical environments

Outage and Rate Evaluation of Drone based Decode and Forward Cooperation for Hybrid Fading Channels

Terahertz Multivariate Spectral Analysis and Molecular Dynamics Simulations of Three Pyrethroid Pesticides

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