Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS

Mavromatis, Ioannis; Tassi, Andrea; Piechocki, Robert J.; Nix, Andrew R

doi:10.1109/vtcspring.2019.8746518

Cited by 22 publications

(17 citation statements)

References 16 publications

(20 reference statements)

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“…In particular, authors of [16] study the problem of optimizing the layout of an mm-Wave access network in a dense urban environment such that the LOS availability is maximized. A similar analysis is carried out in [17] for mm-Wave vehicular communication scenarios. In [18], the coverage planning problem is studied through a network cost minimization that employs a link availability stochastic model.…”

Section: Related Workmentioning

confidence: 99%

Planning Mm-Wave Access Networks With Reconfigurable Intelligent Surfaces

Moro¹,

Filippini²,

Capone³

et al. 2021

Preprint

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With the capability to support gigabit data rates, millimetre-wave (mm-Wave) communication is unanimously considered a key technology of future cellular networks. However, the harsh propagation at such high frequencies makes these networks quite susceptible to failures due to obstacle blockages. Recently introduced Reconfigurable Intelligent Surfaces (RISs) can enhance the coverage of mm-Wave communications by improving the received signal power and offering an alternative radio path when the direct link is interrupted. While several works have addressed this possibility from a communication standpoint, none of these has yet investigated the impact of RISs on large-scale mm-Wave networks. Aiming to fill this literature gap, we propose a new mathematical formulation of the coverage planning problem that includes RISs. Using well-established planning methods, we have developed a new optimization model where RISs can be installed alongside base stations to assist the communications, creating what we have defined as Smart Radio Connections. Our simulation campaigns show that RISs effectively increase both throughput and coverage of access networks, while further numerical results highlight additional benefits that the simplified scenarios analyzed by previous works could not reveal.

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Section: Related Workmentioning

confidence: 99%

Planning Mm-Wave Access Networks With Reconfigurable Intelligent Surfaces

Moro¹,

Filippini²,

Capone³

et al. 2021

Preprint

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“…The first one does not consider the mobility of vehicles and pedestrians, and the scenarios are based on just a given OSM map. This mode is ideal for evaluating different communication solutions with simplistic user densities per city block, as in our work [17], where a city-scale infrastructure placement scheme was proposed. The second mode provides a more realistic C-ITS implementation.…”

Section: Design and Implementation Of Drive Frameworkmentioning

confidence: 99%

DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems

Mavromatis¹,

Piechocki²,

Sooriyabandara³

et al. 2020

Preprint

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In a world where Artificial Intelligence revolutionizes inference, prediction and decision-making tasks, Digital Twins emerge as game-changing tools. A case in point is the development and optimization of Cooperative Intelligent Transportation Systems (C-ITSs): a confluence of cyber-physical digital infrastructure and (semi)automated mobility. Herein we introduce Digital Twin for self-dRiving Intelligent VEhicles (DRIVE). The developed framework tackles shortcomings of traditional vehicular and network simulators. It provides a flexible, modular, and scalable implementation to ensure largescale, city-wide experimentation with a moderate computational cost. The defining feature of our Digital Twin is a unique architecture allowing for submission of sequential queries, to which the Digital Twin provides instantaneous responses with the â ȂIJstate of the worldâ Ȃİ , and hence is an Oracle. With such bidirectional interaction with external intelligent agents and realistic mobility traces, DRIVE provides the environment for development, training and optimization of Machine Learning based C-ITS solutions.

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“…Optimal placement of BSs has been studied with several different performance criteria in the literature, such as cost, coverage, and capacity [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors

Ozturk,

Anjinappa,

Erden

et al. 2021

Preprint

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Multiple-input multiple-output (MIMO) techniques can help in scaling the achievable air-to-ground (A2G) channel capacity while communicating with drones. However, spatial multiplexing with drones suffers from rank deficient channels due to the unobstructed line-of-sight (LoS), especially in millimeterwave (mmWave) frequencies that use narrow beams. One possible solution is utilizing low-cost and lowcomplexity metamaterial-based intelligent reflecting surfaces (IRS) to enrich the multipath environment, taking into account that the drones are restricted to fly only within well-defined drone corridors. A hurdle with this solution is placing the IRSs optimally. In this study, we propose an approach for IRS placement with a goal to improve the spatial multiplexing gains, and hence to maximize the average channel capacity in a predefined drone corridor. Our results at 6 GHz, 28 GHz and 60 GHz show that the proposed approach increases the average rates for all frequency bands for a given drone corridor, when compared with the environment where there are no IRSs present, and IRS-aided channels perform close to each other at sub-6 and mmWave bands.

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Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS

Cited by 22 publications

References 16 publications

Planning Mm-Wave Access Networks With Reconfigurable Intelligent Surfaces

Planning Mm-Wave Access Networks With Reconfigurable Intelligent Surfaces

DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems

Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors

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