Martin Simon Luff, Celine Sophie Corsei, Udo Radius
The reaction product of NHC and cAAC nickel complexes with CS2 depends on the carbene employed. Products obtained were either mononuclear ([Ni(NHC)2(η2-CS2)]), dinuclear ([{Ni(NHC)(μ2-CS2)}2]) or the insertion product [Ni(cAACMe-CS2)2].
Difference Based Content Networking (DBCN) uses diffs between versions to optimize the amount of data sent on the network for version updates of data files. This paper describes several variations on DBCN based on binary diffs, content object diffs, byte offset diffs, and chunk catalog diffs. Existing CCNx versioning methods use total replication of data file bytes between versions, resulting in poor efficiency in data transfer.
We propose a virtual-PON based Mobile Fronthaul (MFH) architecture that allows direct communications between edge points (enabling EAST-WEST communication). Dynamic slicing improves service multiplexing while supporting ultra-low latency under 100$μ$s between cells and MEC nodes.
Shuyi Shen, Bernardo A. Huberman, Lin Cheng
et al.
We experimentally demonstrate a novel scheme of power loading based on portfolio theory for millimeter-wave small-cell densification. By exploiting the statistical characteristics of interference, this approach improves the average throughput by 91% and reduces the variance.
We show that a fluid-flow interpretation of Service Curve Earliest Deadline First (SCED) scheduling simplifies deadline derivations for this scheduler. By exploiting the recently reported isomorphism between min-plus and max-plus network calculus, and expressing deadlines in a max-plus algebra, deadline computations no longer require pseudo-inverse computations. SCED deadlines are provided for general convex or concave piecewise linear service curves.
In this paper an overview is given of the current status of 5G industry standards, spectrum allocation and use cases, followed by initial investigations of new opportunities for spectrum sharing in 5G using cognitive radio techniques, considering both licensed and unlicensed scenarios. A particular attention is given to sharing millimeter-wave frequencies, which are of prominent importance for 5G.
Sensor networks can nowadays deliver 99.9% of their data with duty cycles below 1%. This remarkable performance is, however, dependent on some important underlying assumptions: low traffic rates, medium size densities and static nodes. In this thesis, we investigate the performance of these same resource-constrained devices, but under scenarios that present extreme conditions: high traffic rates, high densities and mobility: the so-called Extreme Wireless Sensor Networks (EWSNs).
Dina Farouk ALtayeb Ali, Fatima abdelgani Mustafa, Mohamed Osman Mustafa Fdolelsid
This paper explains the enhancement of handover processes in GSM networks by using Load balancing algorithms (Round Robin), comparing the results with the real system to determine the improvement percentage.
Anna Förster, Vladimír Veselý, Antonio Virdis
et al.
These are the Proceedings of the 3rd OMNeT++ Community Summit, which was held at the University of Technology in Brno - Czech Republic - on September 15-16, 2016.
Hatem Ibn-Khedher, Emad Abd-Elrahman, Hossam Afifi
et al.
Software Defined Networking (SDN) is based basically on three features: centralization of the control plane, programmability of network functions and traffic engineering. The network function migration poses interesting problems that we try to expose and solve in this paper. Content Distribution Network virtualization is presented as use case.
Internet networks are handling increasing volume of traffic than ever before. This data is mainly associated to sensitive, distributed, and multimedia applications. In the past years, much attention has been paid to the way network infrastructure must be designed and developed in order to handle the challenges of delivering high quality services for applications such as VoIP and streaming video.
This paper introduces the concept of rate privacy in the context of wireless sensor networks. Our discussion reveals that the concept indeed is of a great importance for the privacy preservation of such networks. As a result, we propose a buffering scheme to protect the rate from adversaries. Simulation results verify the applicability of our approach.
ARFIMA is a time series forecasting model, which is an improved ARMA model, the ARFIMA model proposed in this article is demonstrated and deduced in detail. combined with network traffic of CERNET backbone and the ARFIMA model,the result shows that,compare to the ARMA model, the prediction efficiency and accuracy has increased significantly, and not susceptible to sampling.
An important goal towards the design of Future Networks is to achieve the best ratio of performance to energy consumption and at the same time assure manageability. This paper presents a general problem formulation for Energy-Aware Traffic Engineering and proposes a distributed, heuristic Energy-Aware Traffic Engineering scheme (ETE) that provides load balancing and energy-awareness in accordance with the operator's needs. Simulation results of ETE compared to the optimal network performance confirm the capability of ETE to meeting the needs of Future Networks.
A fast and parallel evolution of ways to measure and assess energy efficiency in telecom has resulted in an entangled web of drafts and recommendations originating from government, research, and standards organizations. This paper focuses primarily on so-called "large network equipment" metrics and intends to capture state-of-the-art in this area of green communications. Competing approaches towards efficiency assessment are studied for their applicability and completeness, with special emphasis on topics relevant to future subject studies