TY - JOUR

T1 - A Study of Coverage Probability-Based Energy-Efficiency Analysis for UAV-Aided THz-Enabled 6G Networks

AU - Huq, Kazi Mohammed Saidul

AU - Otung, Ifiok E.

AU - Rodriguez, Jonathan

N1 - Publisher Copyright:
IEEE

PY - 2022/7/18

Y1 - 2022/7/18

N2 - Reliable and flexible emergency communication is a crucial challenge for search and rescue in the circumstance of disasters, specifically for the situation when base stations (BS) are no longer functioning. Unmanned aerial vehicle (UAV)-aided networking is becoming a prominent solution to establish emergency networks, which also should be energy-efficient. The Terahertz (THz) frequency-enabled communication system is also envisioned as enabling technology for Sixth-Generation (6G) communication systems. To this end, we consider a THz UAV network for our investigation. In this article, we study energy-efficiency (EE) analysis for UAV-Aided Terahertz-Enabled 6G Networks. The metric coverage probability (CP) is adopted as EE analysis given the QoS requirement. Using stochastic geometry tools, we derive a CP. Afterward, considering that CP, we study a network EE optimization method. Borrowing the idea from the existing literature, we reformulate the actual EE optimization problem into a solvable Dinkelbach nonlinear fractional programming. However, the optimization problem turns into a nondeterministic polynomial hard (NP-hard) problem. Eventually, we transform that NP-hard problem into a convex optimization problem using the ConCave-Convex procedure (CCCP), which is more tractable and feasible to find a solution for the optimization.

AB - Reliable and flexible emergency communication is a crucial challenge for search and rescue in the circumstance of disasters, specifically for the situation when base stations (BS) are no longer functioning. Unmanned aerial vehicle (UAV)-aided networking is becoming a prominent solution to establish emergency networks, which also should be energy-efficient. The Terahertz (THz) frequency-enabled communication system is also envisioned as enabling technology for Sixth-Generation (6G) communication systems. To this end, we consider a THz UAV network for our investigation. In this article, we study energy-efficiency (EE) analysis for UAV-Aided Terahertz-Enabled 6G Networks. The metric coverage probability (CP) is adopted as EE analysis given the QoS requirement. Using stochastic geometry tools, we derive a CP. Afterward, considering that CP, we study a network EE optimization method. Borrowing the idea from the existing literature, we reformulate the actual EE optimization problem into a solvable Dinkelbach nonlinear fractional programming. However, the optimization problem turns into a nondeterministic polynomial hard (NP-hard) problem. Eventually, we transform that NP-hard problem into a convex optimization problem using the ConCave-Convex procedure (CCCP), which is more tractable and feasible to find a solution for the optimization.

KW - 6G

KW - 6G mobile communication

KW - Autonomous aerial vehicles

KW - Communication systems

KW - Computer architecture

KW - energy-efficiency

KW - Solid modeling

KW - stochastic geometry

KW - Three-dimensional displays

KW - THz

KW - UAV

KW - Wireless communication

U2 - 10.1109/TITS.2022.3188653

DO - 10.1109/TITS.2022.3188653

M3 - Article

AN - SCOPUS:85135207759

SN - 1524-9050

VL - 24

SP - 7404

EP - 7411

JO - IEEE Transactions on Intelligent Transportation Systems

JF - IEEE Transactions on Intelligent Transportation Systems

IS - 7

ER -