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Multiple CUAV-Enabled mMTC and URLLC Services: Review of Energy Efficiency and Latency Performance

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posted on 2022-09-15, 02:27 authored by Saifur SabujSaifur Sabuj

Cognitive unmanned aerial vehicles (CUAVs) play a vital role in next-generation wireless networks as they assist in massive machine-type communication (mMTC) and ultra-reliable low-latency communication (URLLC) services. This study focuses on multiple CUAV-enabled networks, wherein CUAVs are paired with each other. We analyze the data rate, energy efficiency, and latency of such networks by applying the finite information block length theory, wherein mMTC and URLLC information use a non-orthogonal multiple access technique. Furthermore, we formulate an optimization problem to maximize the energy efficiency of paired CUAV devices by jointly optimizing the transmission power of the mMTC and URLLC information to satisfy the latency requirement. The numerical results indicate that our proposed multiple-CUAV-enabled scheme enhances the network performance of CUAV devices in terms of energy efficiency and latency better than the existing scheme.


Korean Research Fellowship Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT) under Grant 2019H1D3A1A01102869

NRF grant funded by the Korea government (MSIT) under Grant 2022R1A2C2007089


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Submitting Author's Institution

Hanbat National University

Submitting Author's Country

  • Korea, Republic of (South Korea)

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