Analysis of drone assisted network coded cooperation for next generation wireless network

Pankaj Kumar, Prabhleen Singh, Sam Darshi, Samar Shailendra

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


In this paper, use of drone as a relay node in Network Coded Cooperation (NCC) for upcoming wireless networks is proposed to achieve additional diversity as well as improve throughput. Unlike static relay cases, in drone assisted scenarios, better performance can be achieved simply by changing the position of relay. In order to quantify the network performance in drone assisted NCC, analytical closed form expression of outage probability has been calculated using two approaches namely, Analytical and Semi-analytical. Using a generalized system model, Probability Density Function (PDF) of Signal to Noise Ratio (SNR) of the path from source to destination via drone (relay) is derived. Closed form expression for outage probability in absence of direct link is also investigated. By analyzing Analog Network Coding (ANC) noise, statistical parameters of variance of ANC-noise have been obtained. Analytical findings have been verified through extensive simulations using MATLAB. Effects of drone height on system performance is also investigated through simulations. Framework presented here can be useful while analysing networks having resource constraint devices. PDF of SNR of relay path can be utilized for performing diversity calculations. Two outage expressions derived may be useful in determining system parameters for achieving any particular Quality of Service (QoS) in next generation wireless networks. Valuable insights obtained through the analysis of optimum height of drone are conducive while deploying the nodes in deterministic fashion for NCC.

Original languageEnglish
Article number8823061
Pages (from-to)93-103
Number of pages11
JournalIEEE Transactions on Mobile Computing
Issue number1
Publication statusPublished - 01-01-2021

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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