Hopfield Neural Network - Based Approach for Joint Dynamic Resource Allocation in Heterogeneous Wireless Networks

Gómez-Barquero, David; Calabuig, Daniel; Monserrat, José F.; Garcia, N.; Perez-Romero, J.

doi:10.1109/vtcf.2006.261

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…To address these challenges, new flexible air interfaces, new possible waveforms, and new multiple access schemes, medium access control (MAC), and radio resource management (RRM) solutions (e.g., [6,7]), and signaling protocols must be investigated to discard the idea that physical layer improvements are already close to their upper limit. However, the foreseen steps towards the ubiquitous high bit-rate services pass mainly by managing multi-cell and multi-user MIMO together with new paradigms of network deployment with multiple RATs and multilayer networks.…”

Section: Main Features Of the 5g Systemmentioning

confidence: 99%

METIS research advances towards the 5G mobile and wireless system definition

Monserrat

Mange

Braun

et al. 2015

J Wireless Com Network

105

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The Mobile and wireless communications Enablers for the Twenty-twenty Information Society (METIS) project is laying the foundations of Fifth Generation (5G) mobile and wireless communication system putting together the point of view of vendors, operators, vertical players, and academia. METIS envisions a 5G system concept that efficiently integrates new applications developed in the METIS horizontal topics and evolved versions of existing services and systems. This article provides a first view on the METIS system concept, highlights the main features including architecture, and addresses the challenges while discussing perspectives for the further research work.

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Section: Main Features Of the 5g Systemmentioning

confidence: 99%

METIS research advances towards the 5G mobile and wireless system definition

Monserrat

Mange

Braun

et al. 2015

J Wireless Com Network

105

View full text Add to dashboard Cite

show abstract

“…As one approach to optimize radio resource usage in heterogeneous wireless networks which includes several different types of radio access networks (RANs), the Hopfield neural network [6] has been applied in which neurons are mutually connected [7,8]. It is well known that the energy function of the mutually connected neural network, which is defined by the state of neurons, connection weight between neurons and threshold for firing, can be autonomously decreased by distributed update of each neuron.…”

Section: Introductionmentioning

confidence: 99%

“…Such an optimization based on the neural network scheme has been applied also to radio resource usage optimization [7,8]. In our previous research, we have already shown that it is possible to optimize load balancing by such an algorithm based on the neural network dynamics [9].…”

Section: Introductionmentioning

confidence: 99%

A distributed radio resource usage optimization algorithm to satisfy QoS requirements by neural network dynamics

Hasegawa

Funatsu

Harada³

2009

2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications

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We propose a distributed radio resource usage optimization algorithm to satisfy users' QoS requirements in heterogeneous wireless networks. Our optimization algorithm is based on the mutually connected neural network dynamics, which can be run distributively and autonomously, and does not require centralized computation. We define an optimization problem to satisfy QoS requirements of users' applications, and compose a neural network to solve the problem autonomously. Since the objective function of the defined problem becomes higher order function, we apply a higher order neural network model that minimizes higher order energy function by its distributed and autonomous updating. By computer simulation, the proposed method has been shown effective to optimize such a problem, without any centralized computation.

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“…In addition to this work, the author also participated in the development of RRM algorithms based on Hopfield neural networks (HNN) for 3G networks [90], [91], [92], and for heterogeneous 3G and WLAN networks [93]. These publications are not included in the dissertation.…”

Section: Chapter 5 -Rrm In Hybrid Cellular and Dvb-h Systemsmentioning

confidence: 99%

Cost Efficient Provisioning of Mass Mobile Multimedia Services in Hybrid Cellular and Broadcasting Systems

Barquero¹

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One of the challenges that the wireless industry faces today is to provide mass multimedia services to mobile and portable devices at low cost, making them affordable to users and profitable to operators. The most representative service is mobile TV, which is expected to become a key application in future wireless networks. Nowadays cellular networks cannot support large scale consumption of such services, and newly deployed mobile broadcasting networks are very expensive to deploy due to the large investment in infrastructure required to provide acceptable coverage levels.This dissertation addresses the problem of providing a cost efficient provisioning of mass mobile multimedia services with existing wireless infrastructure for digital broadcasting and cellular systems. State-of-the-art mobile broadcasting (DVB-H) and cellular (evolved 3G+ networks with HSDPA and MBMS) commercial technologies have been considered. Our approach is DVB-H centric. The main paradigm proposed to provide lower cost services is to avoid deployment a DVB-H network with high capacity and full area coverage from the beginning. Instead, it is proposed to perform an incremental DVB-H network deployment that follows the user demand. Within this context, the cellular network is essential to avoid over-dimensioning the broadcast capacity, and also in low populated areas until the deployment of a DVB-H transmitter or gap-filler becomes convenient.The main technical solution proposed in this dissertation is to perform a multi-burst protection of the transmission in DVB-H using Raptor coding. The idea behind is to exploit the time diversity of the mobile channel to improve the robustness of the transmission, and thus the coverage level, at the expense of an increased network latency. Contrarily to most technical enhancements proposed in the literature, the introduction of this technique would be backwards-compatible with existing networks and terminals, since it could be introduced as a software update either at the link or the application layer.On the other hand, this dissertation also investigates the potential efficiency improvement that can be achieved in a hybrid DVB-H/3G+ system when the cellular network is used to repair errors of the broadcast DVB-H transmissions. Raptor coding is also considered in this case, but at the application layer; since it enables an easy and efficient implementation of the repair mechanisms in such hybrid systems.iii iv ABSTRACT In the dissertation we evaluate the potential gain that can be obtained with multi-burst forward error correction (FEC) in DVB-H compared to the conventional intra-burst FEC mechanism by means of simulations, lab and field measurements, and theoretical studies. Our results show that it is feasible to significantly increase the area coverage and the service quality in already deployed networks, as well as to reduce the investment in infrastructure required to deploy new networks. The gain is especially important for services where a large latency is not an issue, such as file do...

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Hopfield Neural Network - Based Approach for Joint Dynamic Resource Allocation in Heterogeneous Wireless Networks

Cited by 10 publications

References 11 publications

METIS research advances towards the 5G mobile and wireless system definition

METIS research advances towards the 5G mobile and wireless system definition

A distributed radio resource usage optimization algorithm to satisfy QoS requirements by neural network dynamics

Cost Efficient Provisioning of Mass Mobile Multimedia Services in Hybrid Cellular and Broadcasting Systems

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