Conferences related to Self-organizing networks

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


2019 IEEE International Systems Conference (SysCon)

addresses the discipline of systems engineering,including theory, technology, methodology, andapplications of complex systems, system-of-systems,and integrated systems of national and globalsignificance.

  • 2018 Annual IEEE International Systems Conference (SysCon)

    The Conference addresses the discipline of systemsengineering, including theory, technology, methodology,and applications of complex systems, system-of-systems,and integrated systems of national and globalsignificance. It focuses on Systems Engineering for Complex Systems; and the conference caters to both practitioners andacademics, providing a forum to exchange ideas andexperiences on technology, methodology, applications,study cases, and practical experiences.

  • 2017 Annual IEEE International Systems Conference (SysCon)

    The IEEE International Systems Conference facilitates interactions among communities of interest on system-level problems andapplications. System-level thinking is essential in the worldtoday, not only for technical systems, but also for societyat large. The Conference addresses the discipline of systemsengineering, including theory, technology, methodology,and applications of complex systems, system-of-systems,and integrated systems of national and globalsignificance.

  • 2016 Annual IEEE Systems Conference (SysCon)

    The theme of the IEEE International SystemsConference is Engineering of Complex Systems, to includeSystems-of-systems, Systems Engineering, Systems Integration,and Systems Thinking

  • 2015 Annual IEEE Systems Conference (SysCon)

    The theme of the IEEE International Systems Conference is Engineering of Complex Systems, to include Systems-of-systems, Systems Engineering, Systems Integration, and Systems Thinking.

  • 2014 8th Annual IEEE Systems Conference (SysCon)

    This conference seeks to create an interactive forum forthe advancement of the practice of systems engineeringacross the multiple disciplines and specialty areasassociated with the engineering of complex systems. Theconference will provide a venue for systems engineeringpractitioners, managers, researchers, and educators toexchange innovative concepts, ideas, applications, andlessons learned addressing: Applications-oriented topics on large-scale systemsand system-of-systems in topics noted below

  • 2013 7th Annual IEEE Systems Conference (SysCon)

    Conference addresses systems, complex systems, systems-of-systems, critical systems, and the systems engineering disciplines needed to implement such large-scale or complex systems in the international arena.

  • 2012 6th Annual IEEE Systems Conference (SysCon)

    The IEEE Systems Conference is Engineering Complex Integrated Systems and Systems-of-Systems Implications for Systems Engineering, Systems Integration, and Systems Thinking.

  • 2011 IEEE International Systems Conference (SysCon)

    IEEE International Systems Conference Scope is Engineering of Complex Systems, to include Systems-of-systems, Large-scale Systems Integration, and Systems Engineering and Systems Thinking.

  • 2010 4th Annual IEEE Systems Conference

    The theme of the IEEE Systems Conference is Engineering Complex Integrated Systems and Systems-of-systems Implications for Systems Engineering, Systems Integration, and Systems Thinking.

  • 2009 3rd Annual IEEE Systems Conference

    Engineering Comles Integtared Systems and Systems-of-Systems - Implications for Systems Engineering, Systems Integration, and Systems Thinking

  • 2008 2nd Annual IEEE Systems Conference

    The theme of the IEEE Systems Conference is Engineering Complex Integrated Systems and Systems-of-systems- Implications for Systems Engineering, Systems Integration, and Systems Thinking.

  • 2007 1st Annual IEEE Systems Conference

    The theme of the IEEE Systems Conference is Engineering Complex Integrated Systems and Systems-of-systems - Implications for Systems Engineering, Systems Integration, and Systems Thinking.


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Periodicals related to Self-organizing networks

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


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Most published Xplore authors for Self-organizing networks

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Xplore Articles related to Self-organizing networks

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Self‐Organizing Networks (SON)

LTE Advanced: 3GPP Solution for IMT-Advanced, None

None


Clustering ECG complexes using Hermite functions and self-organizing maps

IEEE Transactions on Biomedical Engineering, 2000

An integrated method for clustering of QRS complexes is presented which includes basis function representation and self-organizing neural networks (NN's). Each QRS complex is decomposed into Hermite basis functions and the resulting coefficients and width parameter are used to represent the complex. By means of this representation, unsupervised self-organizing NNs are employed to cluster the data into 25 groups. Using ...


A comparison between habituation and conscience mechanism in self-organizing maps

IEEE Transactions on Neural Networks, 2006

In this letter, a preliminary study of habituation in self-organizing networks is reported. The habituation model implemented allows us to obtain a faster learning process and better clustering performances. The habituable neuron is a generalization of the typical neuron and can be used in many self-organizing network models. The habituation mechanism is implemented in a SOM and the clustering performances ...


Neural control of the NASA Langley 16-foot transonic tunnel

Proceedings of the 1997 American Control Conference (Cat. No.97CH36041), 1997

Experimental results of controlling the Mach number in a transonic wind tunnel with a system of artificial neural networks are presented. Kohonen self- organizing maps are used to cluster the local tunnel dynamics and thereby predict the Mach number response to candidate control input sequences. The sequence minimizing the predicted error between the desired and actual Mach number is applied ...


A new architecture for achieving translational invariant recognition of objects

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks, 1992

A multistage network that will reduce the translational uncertainty of a one- dimensional object is presented. To implement this network, novel network structures like multiple-valued outputs, competition between links instead of nodes, and cooperation of signals at the links are used. The number of nodes and links needed to implement the architecture is small. If the input field consists of ...


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Educational Resources on Self-organizing networks

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IEEE-USA E-Books

  • Self‐Organizing Networks (SON)

    None

  • Clustering ECG complexes using Hermite functions and self-organizing maps

    An integrated method for clustering of QRS complexes is presented which includes basis function representation and self-organizing neural networks (NN's). Each QRS complex is decomposed into Hermite basis functions and the resulting coefficients and width parameter are used to represent the complex. By means of this representation, unsupervised self-organizing NNs are employed to cluster the data into 25 groups. Using the MIT-BIH arrhythmia database, the resulting clusters are found to exhibit a very low degree of misclassification (1.5%). The integrated method outperforms, on the MIT-BIH database, both a published supervised learning method as well as a conventional template cross- correlation clustering method.

  • A comparison between habituation and conscience mechanism in self-organizing maps

    In this letter, a preliminary study of habituation in self-organizing networks is reported. The habituation model implemented allows us to obtain a faster learning process and better clustering performances. The habituable neuron is a generalization of the typical neuron and can be used in many self-organizing network models. The habituation mechanism is implemented in a SOM and the clustering performances of the network are compared to the conscience learning mechanism that follows roughly the same principle but is less sophisticated

  • Neural control of the NASA Langley 16-foot transonic tunnel

    Experimental results of controlling the Mach number in a transonic wind tunnel with a system of artificial neural networks are presented. Kohonen self- organizing maps are used to cluster the local tunnel dynamics and thereby predict the Mach number response to candidate control input sequences. The sequence minimizing the predicted error between the desired and actual Mach number is applied to the tunnel fan drive system. Comparison is made to gain scheduled automatic control currently in use.

  • A new architecture for achieving translational invariant recognition of objects

    A multistage network that will reduce the translational uncertainty of a one- dimensional object is presented. To implement this network, novel network structures like multiple-valued outputs, competition between links instead of nodes, and cooperation of signals at the links are used. The number of nodes and links needed to implement the architecture is small. If the input field consists of n cells, then the total number of cells needed is only O(n). The total number of connections needed is O(nlogn). It is shown that size- invariant recognition can also be achieved if the input to the architecture is provided by a scale-sensitive network called a masking field.<<ETX>>

  • Conflict Resolution Between Load Balancing and Handover Optimization in LTE Networks

    Self-Organizing Networks (SONs) aim to raise the level of automated management in cellular technologies. In this field, Load Balancing (LB) and Handover Optimization (HOO) are two important functions to improve network performance. As these two functions can adjust the same parameters, a conflict may happen if LB and HOO tune them at the same time. In this paper, the conflict resolution of both functions in Long-Term Evolution (LTE) networks is addressed. Results show that the proposed coordination effectively provides better performance in those situations in which the adjusted mobility parameter is close to its saturation.

  • DCAD: Dynamic Cell Anomaly Detection for operational cellular networks

    The Self-Organizing Networks (SON) concept includes the functional area known as self-healing, which aims to automate the detection and diagnosis of, and recovery from, network degradations and outages. In this paper, we present Dynamic Cell Anomaly Detection (DCAD), a tool that implements an adaptive ensemble method for modeling cell behavior [5], [6]. DCAD uses Key Performance Indicators (KPIs) from real cellular networks to determine cell-performance status; enables KPI data exploration; visualizes anomalies; reduces the time required for successful detection of anomalies; and accepts user input.

  • Educational technology: hop step jump through the learning communities

    Educational Technology in the last two decades has conquered the position of intermediate between the autonomous fields of pedagogy and technology. This panel contribution aims at outlining the new Ph.D. school in Joensuu. What should we expect from the candidates before they start? What are the unique selling points of the ET Ph.D. School in Joensuu?

  • Social programming using functional swarm optimization

    The development of mathematical neural networks was based on an analogy with biological neural networks found in nature. Recently there has been a resurgence in research and understanding in self-organizing networks that are based on other metaphors: genetics, immune systems etc. In this paper a new methodology is presented for creating complex adaptive functional networks (CAFN) that are based on the particle swarm social-psychological metaphor. The proposed social programming methodology is based on combining the particle swarm methodology with the group method of data handling and Cartesian programming.

  • Self-Optimizing Load Balancing With Backhaul-Constrained Radio Access Networks

    Self-organizing network (SON) technology aims at autonomously deploying, optimizing and repairing radio access networks (RANs). SON algorithms typically use key performance indicators (KPIs) from the RAN. It is shown that in certain cases, it is essential to take into account the impact of the backhaul state in the design of the SON algorithm. We revisit the base station (BS) load definition taking into account the backhaul state. We provide an analytical formula for the load along with a simple estimator for both elastic and guaranteed bit-rate (GBR) traffic. We incorporate the proposed load estimator in a self-optimized load balancing (LB) algorithm. Simulation results for a backhaul constrained heterogeneous network illustrate how the correct load definition can guarantee a proper operation of the SON algorithm.



Standards related to Self-organizing networks

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