Table of Links
IV. Proposed Algorithm for Problem P0
APPENDIX A: PROOF OF LEMMA 1 and References
VI. CONCLUSION
This work investigated the achievable rate of the underlay IoT system with an energy-constrained UAV under PLoS channels. The achievable rate of the considered systems was maximized by jointly considering the UAV’s 3D trajectory, transmission power, and user scheduling, which is a nonlinear mixed-integer non-convex problem. The lower bound of the average achievable rate was utilized and the original nonconvex problem was transformed into several solvable convex subproblems by using BCD and SCA techniques, and an efficient iterative algorithm was proposed. The numerical results not only verified the convergence and effectiveness of the algorithm but also illustrated the impact of propulsion power and interference thresholds on the average achievable rate
Authors:
(1) Hongjiang Lei, School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China ([email protected]);
(2) Xiaqiu Wu, School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China ([email protected]);
(3) Ki-Hong Park, CEMSE Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia ([email protected]);
(4) Gaofeng Pan, School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing 100081, China ([email protected]).
This paper is
