Joint Trajectory Design and Resource Allocation for Energy-Efficient UAV enabled eLAA Network

Using small cell base station (SBS) with unmanned aerial vehicle (UAV) as a carrier becomes a promising solution for areas with high-density mobile users. On the other hand, SG network would apply the LTE technology into the unlicensed spectrum, named Licensed-assisted Access (LAA), due to the limitation of licensed band. In this paper, we propose to utilize LAA technology into the UAV to expand available transmission band. By focusing on the transmission experience of very important (VIP) users, we propose an enhanced LAA (eLAA) technology, which integrates LAA into the IEEE 802.11e protocol. Under the proposed UAV enabled eLAA network, our goal is to maximize the energy efficiency of the on-board communication device through a joint trajectory design and resource allocation strategy. The proposed nonlinear fractional problem has been solved by the Dinkelbach-type algorithm and the block coordinate descent (BCD) mechanism. Numerical results demonstrate the effectiveness of our proposed scheme.