Backhaul-aware Uplink Communications in Full-Duplex DBS-aided HetNets
Liang Zhang, Nirwan Ansari

TL;DR
This paper proposes approximation algorithms for backhaul-aware uplink communications in full-duplex drone-mounted base station networks, significantly improving network throughput in complex, NP-hard optimization scenarios.
Contribution
It introduces a novel AA-BUD algorithm to efficiently solve the NP-hard BUD problem with guaranteed performance, outperforming benchmark algorithms.
Findings
AA-BUD algorithm achieves up to 45.8% throughput improvement
Proposed solutions effectively handle the NP-hard BUD problem
Extensive simulations validate the superiority of the algorithms
Abstract
Drone-mounted base stations (DBSs) are promising solutions to provide ubiquitous connections to users and support many applications in the fifth generation of mobile networks while full duplex communications has the potential to improve the spectrum efficiency. In this paper, we have investigated 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, and this problem is decomposed into two sub-problems: the DBS Placement problem (including the vertical dimension and horizontal dimensions) and the joint UE association, power and bandwidth assignment (Joint-UPB) problem. Since the BUD problem is NP-hard, we propose approximation algorithms to solve the sub-problems and another, named the AA-BUD algorithm, to solve the BUD problem with guaranteed performance. The performance of the AA-BUD…
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Taxonomy
TopicsUAV Applications and Optimization · Full-Duplex Wireless Communications · Antenna Design and Analysis
