Bandwidth Allocation and Power Control Optimization for Multi-UAVs Enabled 6G Network

In this paper, we undertake an examination of the complicated challenges associated with bandwidth allocation and power control in multi- unmanned aerial vehicles (UAVs) network. The focal point of our investigation is the formulation and subsequent proposition of a novel algorithm aimed at optimizing bandwidth utilization and energy efficiency across multiple UAVs. The intricate joint optimization problem is cast as a nontrivial nonlinear programming (NLP) challenge; thus, to efficiently address it, we split it into two subproblems. In the first sub-problem, UAVs bandwidth resources are being optimized while considering that they are operating at their maximum transmit powers. In the second sub-problem and after optimizing bandwidth allocations, UAVs transmit powers are optimized based on their inter-links speed. Sequential quadratic programing (SQP) based on coloring graph representation is proposed to address the first sub-problem, while
$\mathcal {M}$
- matrix theory is employed to address the second one. Rigorous numerical simulations are conducted to prove the effectiveness of the proposed scheme against other benchmarks in maximizing both data rate and energy efficiency of the proposed multi-UAV network.