Abstract
Drone-mounted base stations ( DBS s) are promising means to provide ubiquitous connections to users and support various emerging applications in mobile networks while full duplex communications has the potential to improve the spectrum efficiency. In this paper, we investigate the backhaul-aware uplink communications in a full-duplex DBS-aided HetNet ( BUD ) problem with the objective to maximize the total throughput of the network while minimizing the number of deployed DBSs. Since the BUD problem is NP-hard, it is then decomposed into three sub-problems: the joint UE association, power and bandwidth assignment ( Joint-UPB ) problem, the DBS placement problem (including the vertical and horizontal positions) and the problem of determining the number of DBSs to be deployed. We propose two approximation algorithms to solve the first two sub-problems and use the linear programming to solve the last sub-problem. Finally, another approximation algorithm, referred to as the AA-BUD algorithms, is proposed to solve the BUD problem with guaranteed performance based on the solutions of the three sub-problems. The performance of the AA-BUD algorithm has been demonstrated via extensive simulations, and is shown to be superior to two benchmark algorithms with up to $62\%$ throughput improvement.
Highlights
T HE fifth generation of mobile technology (5G) targets to provide better performance as compared to 4G LTE, i.e., greater throughput, lower latency and ultra-high reliability [2]
Since Drone-mounted base stations (DBSs) can flexibly provision user equipments (UEs) with communication services and IBFD can theoretically double the spectrum efficiency, it is conceivable to employ IBFD-enabled DBSs in the HetNets and we study the uplink communications in this paper
The preliminary results of BUD will be reported in [1] (Globecom 2019), and the differences between this work and [1] are summarized as follows: 1) we have further studied the number of required DBSs in provisioning UEs in this work while that of [1] is fixed; 2) we have reformulated the BUD problem because the objective of this work is to maximize the total throughput of the network and at the same time minimize the number of deployed DBSs, while the objective of [1] is to maximize the total throughput of the network; 3) the AA-BUD algorithm is proposed to solve the BUD problem, and it gives a (1 − ε) approximation ratio
Summary
T HE fifth generation of mobile technology (5G) targets to provide better performance as compared to 4G LTE, i.e., greater throughput, lower latency and ultra-high reliability [2]. The main contributions of this paper are delineated as follows: 1) we propose an IBFD-enabled DBS-aided HetNet for uplink communications, and the DBSs can provide dynamic coverage to UEs by adjusting their vertical and horizontal positions; 2) the macro-BS (MBS) is connected to the core network through free space optics (FSO) links, implying that this network can be deployed to provide communications to temporary events or fast communications recovery in emergency situations; 3) we propose two approximation algorithms to solve the sub-problems and another one named. We need to find the number of deployed DBSs, place all DBSs to their target positions, assign the UEs to the BSs, and allot the power and bandwidth resources to the UEs
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