Joint power and beamforming optimization of UAV-Assisted NOMA networks for B5G-enabled smart cities

• In this paper, we consider a unmanned aerial vehicle (UAV)-enabled multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) system for a smart city environment, where a multi-Antenna UAV acts as an amplify-And-forward (AF) relay to extend the coverage to several disconnected users aided by NOMA. We present an optimization problem that jointly determines the location of the UAV, optimal beamforming at the UAV and power allocation at the base station (BS), in order to maximize the system sum-rate. Due to the severe non-convexity of the problem, we decouple the problem into three sub-problems and solve them sequentially. First, the optimal location of the UAV is determined by minimizing the total path loss. Next, the UAV beamforming is solved by transforming the problem into second-order cone programming (SOCP) and finally the power allocation at the BS is determined using linear-fractional programming (LFP). The simulation results demonstrate that the proposed scheme performs better than the baseline schemes and orthogonal multiple access (OMA) scheme. 

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)

Keyword

fifth-generation (5G)

non-orthogonal multiple access (NOMA)

unmanned aerial vehicle (UAV)

Publication and Content Type

ref (subject category)

kon (subject category)