Abstract

We consider a two-phase decode-and-forward (DF) relay network assisted by an unmanned aerial vehicle (UAV), where the UAV performs energy harvesting and information decoding simultaneously with a power splitting (PS) receiver structure. For the network, we optimize the PS and time allocation (TA) factors to minimize the outage probability in transferring the data from a source to a destination suffering from blockages in the direct link. The optimal solution is found in two steps, optimization of the PS factor for given TA and then optimization of the TA factor using the conditionally optimized PS factor given in a closed-form. To reduce the complexity of the optimal method, we next propose a suboptimal method using a fixed TA determined by the transmission rate only and a fixed PS ffactor given by a function of the average power of the UAV-to-destination channel. The outage probability of the proposed method is analyzed in a generalized UAV channel model including path-loss, shadowing, and Nakagami-m fading, which is shown to agree with the simulation results and is close to the optimal performance. In addition, the optimal UAV position is investigated in various channel environments, which reveals that the optimal altitude depends on the deployment scenarios and the optimal ground position is the center-point between the source and destination in general.

Highlights

  • Unmanned aerial vehicles (UAVs) offer diverse applications thanks to recent advances in low-cost and small-size manufacturing with high mobility [1]

  • This paper provides a more explicit solution for the outage optimal power splitting (PS) and time allocation (TA) factors than the solution obtained with the iterative algorithm for the DF one-way relaying (OWR) network in [12] by applying the two-step optimization method adopted for the DF two-way relay (TWR) network [11]

  • We propose fixed PS and TA factors attainable at lower complexity without the availability of the instantaneous channel state information (CSI) or the channel distribution unlike those proposed for the TWR network [11]

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Summary

INTRODUCTION

Unmanned aerial vehicles (UAVs) offer diverse applications thanks to recent advances in low-cost and small-size manufacturing with high mobility [1]. RELATED WORK Initial studies on UAV-assisted one-way relaying (OWR) have been performed without energy harvesting, mostly for the optimal trajectory of a moving UAV [15]–[19] and for the optimal positioning of a static (hovering) UAV [20]–[22] These studies except for [20] optimized the trajectory and position of DF and AF UAVs assuming only the path-loss in the ground-to-air (GtA) and air-to-ground (AtG) channels for high-altitude UAVs; no outage is considered since the channels are deterministic. We use ∼ to signify ‘distributed as’, P[·] for the probability of an event, E[·] for the expectation operation, and N(μ, s2) for Gaussian distribution with mean μ and variance s2

SYSTEM MODEL
UAV CHANNEL MODELS
RELAY PROTOCOL AND ACHIEVABLE RATE
PROPOSED PS AND TA
OUTAGE ANALYSIS
ANALYSIS IN SPECIFIC CHANNEL MODELS
ERGODIC CAPACITY
PERFORMANCE EVALUATION
VERIFICATION OF PERFORMANCE ANALYSIS
OPTIMAL POSITION IN UAV CHANNEL MODELS
CONCLUSION
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