Abstract
The use of unmanned aerial vehicles (UAV) as flying base stations is rapidly growing in the field of wireless communications to leverage the capacity of congested cells. This study considers a two-cell system where one of the cells is saturated, i.e. can no longer serve its users, and is supported by a UAV. The UAV positioning problem is investigated specifically to benefit from the interference cancellation properties available through the introduction of power-domain non-orthogonal multiple access (NOMA) techniques in coordinated multipoint (CoMP) systems. Indeed, adequate placement of the UAV can enable triple mutual successive interference cancellation (TMSIC) between a triplet of users, including a cell-edge and a cell-center user in each cell, to maximize system throughput or a mixture of throughput and TMSIC probability. The random line-of-sight/non-line-of-sight realizations of air-to-ground links between users and UAV are taken into account in the problem modeling, showing a significant improvement in performance compared to the conventional mean path loss model. The performance evaluation highlights the existing trade-offs between system capacity, fairness, and computational complexity of the investigated approaches.
Highlights
Unmanned aerial vehicles (UAV) have lately been gathering interest as a growing research topic for mobile communication networks [1]–[5]
In this work, we addressed the problem of UAV placement for supporting an overloaded base stations (BSs) in a two-cell non-orthogonal multiple access (NOMA) coordinated multipoint (CoMP) system
The UAV positioning seeks the application of triple mutual successive interference cancellation (TMSIC) which provides great fairness and throughput performance
Summary
Unmanned aerial vehicles (UAV) have lately been gathering interest as a growing research topic for mobile communication networks [1]–[5]. Compared to fixed ground base stations (BSs), the UAV allows for both a reduction in the needed transmit power (by ensuring higher link qualities than conventional ground-to-BS channels) as well as a localization of the interference to the region the UAV is hovering over while serving users. The management of the backhaul link to the BS is not considered in this paper and was studied in [23] In such scenarios, UAV placement generally tends to favor the cell-edge users [24] that suffer from poor channel gains as well as significant potential interference due to the neighboring cell. The objective of this study is to serve the three users such that the resulting channel gains from the UAV position allow the application of TMSIC on their sub-band.
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