57 research outputs found
Backhaul-aware Robust 3D Drone Placement in 5G+ Wireless Networks
Using drones as flying base stations is a promising approach to enhance the
network coverage and area capacity by moving supply towards demand when
required. However deployment of such base stations can face some restrictions
that need to be considered. One of the limitations in drone base stations
(drone-BSs) deployment is the availability of reliable wireless backhaul link.
This paper investigates how different types of wireless backhaul offering
various data rates would affect the number of served users. Two approaches,
namely, network-centric and user-centric, are introduced and the optimal 3D
backhaul-aware placement of a drone-BS is found for each approach. To this end,
the total number of served users and sum-rates are maximized in the
network-centric and user-centric frameworks, respectively. Moreover, as it is
preferred to decrease drone-BS movements to save more on battery and increase
flight time and to reduce the channel variations, the robustness of the network
is examined as how sensitive it is with respect to the users displacements.Comment: in Proc. IEEE ICC2017 Workshops, FlexNets201
3D Placement of an Unmanned Aerial Vehicle Base Station (UAV-BS) for Energy-Efficient Maximal Coverage
Unmanned Aerial Vehicle mounted base stations (UAV-BSs) can provide wireless
services in a variety of scenarios. In this letter, we propose an optimal
placement algorithm for UAV-BSs that maximizes the number of covered users
using the minimum transmit power. We decouple the UAV-BS deployment problem in
the vertical and horizontal dimensions without any loss of optimality.
Furthermore, we model the UAV-BS deployment in the horizontal dimension as a
circle placement problem and a smallest enclosing circle problem. Simulations
are conducted to evaluate the performance of the proposed method for different
spatial distributions of the users
A Novel Airborne Self-organising Architecture for 5G+ Networks
Network Flying Platforms (NFPs) such as unmanned aerial vehicles, unmanned
balloons or drones flying at low/medium/high altitude can be employed to
enhance network coverage and capacity by deploying a swarm of flying platforms
that implement novel radio resource management techniques. In this paper, we
propose a novel layered architecture where NFPs, of various types and flying at
low/medium/high layers in a swarm of flying platforms, are considered as an
integrated part of the future cellular networks to inject additional capacity
and expand the coverage for exceptional scenarios (sports events, concerts,
etc.) and hard-to-reach areas (rural or sparsely populated areas). Successful
roll-out of the proposed architecture depends on several factors including, but
are not limited to: network optimisation for NFP placement and association,
safety operations of NFP for network/equipment security, and reliability for
NFP transport and control/signaling mechanisms. In this work, we formulate the
optimum placement of NFP at a Lower Layer (LL) by exploiting the airborne
Self-organising Network (SON) features. Our initial simulations show the NFP-LL
can serve more User Equipment (UE)s using this placement technique.Comment: 5 pages, 2 figures, conference paper in IEEE VTC-Fall 2017, in
Proceedings IEEE Vehicular Technology Conference (VTC-Fall 2017), Toronto,
Canada, Sep. 201
Cognitive Connectivity Resilience in Multi-layer Remotely Deployed Mobile Internet of Things
Enabling the Internet of things in remote areas without traditional
communication infrastructure requires a multi-layer network architecture. The
devices in the overlay network are required to provide coverage to the underlay
devices as well as to remain connected to other overlay devices. The
coordination, planning, and design of such two-layer heterogeneous networks is
an important problem to address. Moreover, the mobility of the nodes and their
vulnerability to adversaries pose new challenges to the connectivity. For
instance, the connectivity of devices can be affected by changes in the
network, e.g., the mobility of the underlay devices or the unavailability of
overlay devices due to failure or adversarial attacks. To this end, this work
proposes a feedback based adaptive, self-configurable, and resilient framework
for the overlay network that cognitively adapts to the changes in the network
to provide reliable connectivity between spatially dispersed smart devices. Our
results show that if sufficient overlay devices are available, the framework
leads to a connected configuration that ensures a high coverage of the mobile
underlay network. Moreover, the framework can actively reconfigure itself in
the event of varying levels of device failure.Comment: To appear in IEEE Global Communications Conference (Globecom 2017
Coverage and Rate Analysis for Unmanned Aerial Vehicle Base Stations with LoS/NLoS Propagation
The use of unmanned aerial vehicle base stations (UAV-BSs) as airborne base
stations has recently gained great attention. In this paper, we model a network
of UAV-BSs as a Poisson point process (PPP) operating at a certain altitude
above the ground users. We adopt an air-to-ground (A2G) channel model that
incorporates line-of-sight (LoS) and non-line-of-sight (NLoS) propagation.
Thus, UAV-BSs can be decomposed into two independent inhomogeneous PPPs. Under
the assumption that NLoS and LoS channels experience Rayleigh and Nakagami-m
fading, respectively, we derive approximations for the coverage probability and
average achievable rate, and show that these approximations match the
simulations with negligible errors. Numerical simulations have shown that the
coverage probability and average achievable rate decrease as the height of the
UAV-BSs increases
A Distributed Approach for Networked Flying Platform Association with Small Cells in 5G+ Networks
The densification of small-cell base stations in a 5G architecture is a
promising approach to enhance the coverage area and facilitate the ever
increasing capacity demand of end users. However, the bottleneck is an
intelligent management of a backhaul/fronthaul network for these small-cell
base stations. This involves efficient association and placement of the
backhaul hubs that connects these small-cells with the core network.
Terrestrial hubs suffer from an inefficient non line of sight link limitations
and unavailability of a proper infrastructure in an urban area. Seeing the
popularity of flying platforms, we employ here an idea of using networked
flying platform (NFP) such as unmanned aerial vehicles (UAVs), drones, unmanned
balloons flying at different altitudes, as aerial backhaul hubs. The
association problem of these NFP-hubs and small-cell base stations is
formulated considering backhaul link and NFP related limitations such as
maximum number of supported links and bandwidth. Then, this paper presents an
efficient and distributed solution of the designed problem, which performs a
greedy search in order to maximize the sum rate of the overall network. A
favorable performance is observed via a numerical comparison of our proposed
method with optimal exhaustive search algorithm in terms of sum rate and
run-time speed.Comment: Submitted to IEEE GLOBECOM 2017, 7 pages and 4 figure
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