103 research outputs found
3GPP Long Term Evolution: Architecture, Protocols and Interfaces
The evolution of wireless networks is a continuous phenomenon. Some key trends in this changing process include:
reduced latency, increased performance with substantial reduction in costs, and seamless mobility. Long Term Evolution
(LTE) is based on an evolved architecture that makes it a candidate of choice for next generation wireless mobile networks.
This paper provides an overview of both the core and access networks of LTE. Functional details of the associated
protocols and interfaces are also presented
IDMP-based fast handoffs and paging in IP-based 4G mobile networks
Abstract — In this paper, we consider the use of the recently proposed Intra-Domain Mobility Management Protocol (IDMP) in ¢¤£¦ ¥ and §©¨� � generation (3/4G) wireless cellular networks to reduce the latency of intradomain location updates and the mobility signaling traffic. We first present enhancements to basic IDMP that provide fast intra-domain handoffs by using a duration-limited, proactive packet ‘multicasting ’ scheme. We quantify the expected buffering requirements of our proposed multicasting scheme for typical 3/4G network characteristics and compare it with alternative IP-based fast handoff solutions. We also present a paging scheme under IDMP that replicates the current cellular paging structure. Our paging mechanism supports generic paging strategies and can significantly reduce the mobility-related IP signaling load. I
Teaching protocol exchanges over cellular air interface
International audienceThe evolutionary path taken by cellular standards to the current and future standards is incomplete without fully understanding the older standards. The comprehension of the GSM standard, specifically the procedures for protocols exchange over the air interface will help students understand radio resource allocation procedures in GPRS and UMTS, and will ultimately assist future communication engineers to be able to design and solve problems related to these cellular standards. In this paper we describe the novel architecture of our teaching software, developed and programmed in Java. We present all the user interfaces and show how it can be used to assist in teaching, by presenting how the Mobile station and the GSM/GPRS network exchange data frames over the air interface with their associated protocols. Finally the uniqueness of this teaching tool was proved from the stand point of our modular architecture
Resource virtualisation of network routers
There is now considerable interest in applications that transport time-sensitive data across the best-effort Internet. We present a novel network router architecture, which has the potential to improve the Quality of Service guarantees provided to such flows. This router architecture makes use of virtual machine techniques, to assign an individual virtual routelet to each network flow requiring QoS guarantees. We describe a prototype of this virtual routelet architecture, and evaluate its effectiveness. Experimental results of the performance and flow partitioning of this prototype, compared with a standard software router, suggest promise in the virtual routelet architecture
Implementation of Communication Technology LTE Cat-M1 Utilizing the Network Simulator 3
Diplomová práce se zabývá implementací komunikační technologie LTE Cat-M1 v simulačním nástroji NS-3 (Network Simulator 3). V teoretické části práce jsou shrnuty klíčové pojmy týkající se IoT (Internet of Things), M2M (Machine-to-Machine) komunikace, mobilních sítí LTE (Long Term Evolution) a LPWA (Low-Power Wide Area) sítí. Praktická část práce shrnuje možnosti aktuálně dostupných modulů pro celulární technologie pro NS-3, tj. modul LENA a následné rozšíření LENA+ a ELENA. Následně vytvořené simulační scénáře nabízí porovnání technologií LTE/LTE-A a LTE Cat-M1 (označována také jako eMTC - enhanced Machine Type Communication) pro M2M komunikaci. Výsledky simulací jsou přehledně zpracovány formou grafů a diskutovány v závěru práce.Diploma thesis deals with the implementation of LTE Cat-M1 technology in simulator NS--3 (Network Simulator 3). The theoretical part of the thesis summarizes key terms concerning IoT (Internet of Things), M2M (Machine-to-Machine) communication, LTE (Long Term Evolution) and LPWA (Low-Power Wide Area) networks. The practical part summarizes the possibilities of currently available modules for cellular technologies for NS-3, ie. the LENA module and the subsequent extension of LENA+ and ELENA. Simulation scenarios offer a comparison of LTE/LTE-A and LTE Cat-M1 (also known as eMTC - enhanced Machine Type Communication) technologies for M2M communication. The results of the simulations are well-arranged in the form of graphs and discussed at the end of the thesis.
Proton Testing of nVidia Jetson TX1
Single-Event Effects (SEE) testing was conducted on the nVidia Jetson TX1 System on Chip (SOC); herein referred to as device under test (DUT). Testing was conducted at Massachusetts General Hospitals (MGH) Francis H. Burr Proton Therapy Center on October 16th, 2016 using 200MeV protons. This testing trip was purposed to provide a baseline assessment of the radiation susceptibility of the DUT as no previous testing had been conducted on this component
Interworking in heterogeneous wireless networks: comprehensive framework and future trends
Interworking mechanisms are of prime importance
to achieve ubiquitous access and seamless
mobility in heterogeneous wireless networks. In
this article we develop a comprehensive framework
to categorize interworking solutions by
defining a generic set of interworking levels and
its related key interworking mechanisms. The
proposed framework is used to analyze some of
the most relevant interworking solutions being
considered in different standardization bodies.
More specifically, I-WLAN and GAN approaches
for WLAN and cellular integration, solutions
for WiMAX and 3GPP LTE/SAE interworking,
and the forthcoming IEEE 802.21 standard are
discussed from the common point of view provided
by the elaborated framework.Postprint (published version
Utilizing Massive Spatiotemporal Samples for Efficient and Accurate Trajectory Prediction
Trajectory prediction is widespread in mobile computing, and helps support wireless network operation, location-based services, and applications in pervasive computing. However, most prediction methods are based on very coarse geometric information such as visited base transceiver stations, which cover tens of kilometers. These approaches undermine the prediction accuracy, and thus restrict the variety of application. Recently, due to the advance and dissemination of mobile positioning technology, accurate location tracking has become prevalent. The prediction methods based on precise spatiotemporal information are then possible. Although the prediction accuracy can be raised, a massive amount of data gets involved, which is undoubtedly a huge impact on network bandwidth usage. Therefore, employing fine spatiotemporal information in an accurate prediction must be efficient. However, this problem is not addressed in many prediction methods. Consequently, this paper proposes a novel prediction framework that utilizes massive spatiotemporal samples efficiently. This is achieved by identifying and extracting the information that is beneficial to accurate prediction from the samples. The proposed prediction framework circumvents high bandwidth consumption while maintaining high accuracy and being feasible. The experiments in this study examine the performance of the proposed prediction framework. The results show that it outperforms other popular approaches
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