Airborne Base Stations for Emergency and Temporary Events

Valcarce, Alvaro; Rasheed, Tinku; Gomez, Karina; Kandeepan, Sithamparanathan; Reynaud, Laurent; Hermenier, Romain; Munari, Andrea; Mohorčič, Mihael; Smolnikar, Miha; Bucaille, Isabelle

doi:10.1007/978-3-319-02762-3_2

Cited by 46 publications

(21 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although UAV coverage and offloading problems have been widely discussed, few existing studies consider the situation where UAV operators could be selfish individuals with different objectives [24]. For instance, the venue owners and scenic area managers may want to temporarily deploy their own UAVs to better serve their visitors, due to the temporarily increased number of mobile users or the inconvenience of installing SBSs in remote areas [25]. In such cases, the deployment of multiple UAVs depends on each UAV operator, and the solution is not likely to be optimal as calculated by centralized algorithms.…”

Section: Introductionmentioning

confidence: 99%

UAV Offloading: Spectrum Trading Contract Design for UAV-Assisted Cellular Networks

Zheng

Song

et al. 2018

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

Unmanned Aerial Vehicle (UAV) has been recognized as a promising way to assist future wireless communications due to its high flexibility of deployment and scheduling. In this paper, we focus on temporarily deployed UAVs that provide downlink data offloading in some regions under a macro base station (MBS). Since the manager of the MBS and the operators of the UAVs could be of different interest groups, we formulate the corresponding spectrum trading problem by means of contract theory, where the manager of the MBS has to design an optimal contract to maximize its own revenue. Such contract comprises a set of bandwidth options and corresponding prices, and each UAV operator only chooses the most profitable one from all the options in the whole contract. We analytically derive the optimal pricing strategy based on fixed bandwidth assignment, and then propose a dynamic programming algorithm to calculate the optimal bandwidth assignment in polynomial time. By simulations, we compare the outcome of the MBS optimal contract with that of a social optimal one, and find that a selfish MBS manager sells less bandwidth to the UAV operators.

show abstract

Section: Introductionmentioning

confidence: 99%

UAV Offloading: Spectrum Trading Contract Design for UAV-Assisted Cellular Networks

Zheng

Song

et al. 2018

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

“…Isolated BSs are innovative solutions providing users with at least local data services, when a classical network fails or does not exist [3]. Use cases include out-of-coverage situations where no network infrastructure exists, failures due to increased network demand, and network infrastructure destruction following man-made or natural disasters [4].…”

Section: Introductionmentioning

confidence: 99%

Core network function placement in mobile networks

Oueis

Stanica

Valois

et al. 2017

2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

View full text Add to dashboard Cite

An isolated base station is a base station having no connection to a traditional core network. To provide services to users, an isolated base station is colocated with an entity providing the same functionalities as the traditional core network, referred to as Local EPC. In order to cover wider areas, several base stations are interconnected, forming a network that should be served by a single Local EPC. In this work, we tackle the Local EPC placement problem in the network, to determine with which of the base stations the Local EPC must be co-located. We propose a novel centrality metric, flow centrality, which measures the capacity of a node to receive the total amount of flows in the network. We show that co-locating the Local EPC with the base station having the maximum flow centrality maximizes the total amount of traffic the Local EPC can receive from all base stations, under certain capacity and load distribution constraints. We compare the flow centrality to other state of the art centrality metrics, and emphasize its advantages.

show abstract

“…It also allows for easier insertion and removal of base stations from the network, if necessary. For example, such distributed opportunistic protocols are well suited to temporary event networks and disaster relief scenarios, where rapidly deployable network architectures with unplanned or variable topologies may be required to supplement any existing wireless infrastructure [10].…”

Section: Introductionmentioning

confidence: 99%

Distributed Heuristically Accelerated Q-Learning for Robust Cognitive Spectrum Management in LTE Cellular Systems

Morozs

Clarke

Grace

2016

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

In this paper we propose an algorithm for dynamic spectrum access (DSA) in LTE cellular systems -distributed ICIC accelerated Q-learning (DIAQ). It combines distributed reinforcement learning (RL) and standardized inter-cell interference coordination (ICIC) signalling in the LTE downlink, using the framework of heuristically accelerated RL (HARL). Furthermore, we present a novel Bayesian network based approach to theoretical analysis of RL based DSA. It explains a predicted improvement in the convergence behaviour achieved by DIAQ, compared to classical RL. The scheme is also assessed using large scale simulations of a stadium temporary event network. Compared to a typical heuristic ICIC approach, DIAQ provides significantly better quality of service and supports considerably higher network throughput densities. In addition, DIAQ dramatically improves initial performance, speeds up convergence and improves steady state performance of a state-of-the-art distributed Q-learning algorithm, confirming the theoretical predictions. Finally, our scheme is designed to comply with the current LTE standards. Therefore, it enables easy implementation of robust distributed machine intelligence for full self-organisation in existing commercial networks.

show abstract

Airborne Base Stations for Emergency and Temporary Events

Cited by 46 publications

References 8 publications

UAV Offloading: Spectrum Trading Contract Design for UAV-Assisted Cellular Networks

UAV Offloading: Spectrum Trading Contract Design for UAV-Assisted Cellular Networks

Core network function placement in mobile networks

Distributed Heuristically Accelerated Q-Learning for Robust Cognitive Spectrum Management in LTE Cellular Systems

Contact Info

Product

Resources

About