Context-aware semantic discovery for next generation mobile systems

2006 ◽  
Vol 44 (9) ◽  
pp. 62-71 ◽  
Author(s):  
P. Bellavista ◽  
A. Corradi ◽  
R. Montanari ◽  
A. Toninelli
Keyword(s):  
Mobile Systems ◽  
Context Aware ◽  
Next Generation ◽  
Semantic Discovery

scholarly journals Transition technologies towards 6G networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Thiago R. Raddo ◽  
Simon Rommel ◽  
Bruno Cimoli ◽  
Chris Vagionas ◽  
Diego Perez-Galacho ◽  
...  
Keyword(s):  
Integrated Circuits ◽  
Mobile Networks ◽  
Multiple Input Multiple Output ◽  
Mobile Systems ◽  
60 Ghz ◽  
Next Generation ◽  
Space Optics ◽  
V Band ◽  
Radio Access ◽  
Next Generation Mobile Networks

AbstractThe sixth generation (6G) mobile systems will create new markets, services, and industries making possible a plethora of new opportunities and solutions. Commercially successful rollouts will involve scaling enabling technologies, such as cloud radio access networks, virtualization, and artificial intelligence. This paper addresses the principal technologies in the transition towards next generation mobile networks. The convergence of 6G key-performance indicators along with evaluation methodologies and use cases are also addressed. Free-space optics, Terahertz systems, photonic integrated circuits, softwarization, massive multiple-input multiple-output signaling, and multi-core fibers, are among the technologies identified and discussed. Finally, some of these technologies are showcased in an experimental demonstration of a mobile fronthaul system based on millimeter 5G NR OFDM signaling compliant with 3GPP Rel. 15. The signals are generated by a bespoke 5G baseband unit and transmitted through both a 10 km prototype multi-core fiber and 4 m wireless V-band link using a pair of directional 60 GHz antennas with 10° beamwidth. Results shown that the 5G and beyond fronthaul system can successfully transmit signals with both wide bandwidth (up to 800 MHz) and fully centralized signal processing. As a result, this system can support large capacity and accommodate several simultaneous users as a key candidate for next generation mobile networks. Thus, these technologies will be needed for fully integrated, heterogeneous solutions to benefit from hardware commoditization and softwarization. They will ensure the ultimate user experience, while also anticipating the quality-of-service demands that future applications and services will put on 6G networks.

A study on next‐generation digital library using context‐awareness technology

2013 ◽  
Vol 31 (2) ◽  
pp. 236-253 ◽  
Author(s):  
Younghee Noh
Keyword(s):  
Digital Library ◽  
Digital Libraries ◽  
Context Awareness ◽  
Theoretical Research ◽  
Context Aware ◽  
Semantic Retrieval ◽  
Next Generation ◽  
Climate Control ◽  
Content Type ◽  
Reference Services

PurposeThis study seeks to examine the concepts of context, context‐awareness, and context‐awareness technology needed for applying context‐awareness technology to the next‐generation of digital libraries, and proposed context‐aware services that can be applied to any situation by illustrating some library contexts.Design/methodology/approachThe paper investigated both theoretical research and case analysis studies before suggesting a service model for context‐awareness‐based libraries by examining the context, context‐awareness, and context‐awareness technology in depth.FindingsThis paper derived possible library services which could be provided if context‐awareness services are implemented by examining and analyzing case studies and systems constructed in other fields. A library‐applied context‐aware system could recognize users entering the library and provide optimal services tailored to each situation for both new and existing users. In addition, the context‐awareness‐based library could provide context‐awareness‐based reference services, context‐awareness‐based loan services, and cater to other user needs in the stacks, research space, and a variety of other information spaces. The context‐awareness‐based library could also recognize users in need of emergency assistance by detecting the user's behavior, movement path, and temperature, etc. Comfort or climate‐control services could provide the user with control of the temperature, humidity, illumination and other environmental elements to fit the circumstances of users, books, and instruments through context‐aware technology.Practical implicationsNext‐generation digital libraries apply new concepts such as semantic retrieval, real‐time web, cloud computing, mobile web, linked data, and context‐awareness. Context‐awareness‐based libraries can provide applied context‐awareness access service, reactive space according to the user's access, applied context‐awareness lobbies, applied context‐awareness reference services, and applied context‐awareness safety services, context‐awareness‐based comfort services and so on.Originality/valueReal instances of libraries applying context‐aware technology are few, according to the investigative results of this study. The study finds that the next‐generation digital library using context‐awareness technology can provide the best possible service for the convenience of its users.

scholarly journals Next Generation Middleware Technology for Mobile Computing

2011 ◽  
pp. 74-80
Author(s):  
B. Darsana ◽  
Karabi Konar
Keyword(s):  
Mobile Computing ◽  
Large Scale ◽  
Network Connectivity ◽  
Distributed Applications ◽  
Mobile Systems ◽  
Portable Devices ◽  
Next Generation ◽  
Mobile Middleware ◽  
Mobile Computing Environment ◽  
Middleware Technology

Current advances in portable devices, wireless technologies, and distributed systems have created a mobile computing environment that is characterized by a large scale of dynamism. Diversities in network connectivity, platform capability, and resource availability can significantly affect the application performance. Traditional middleware systems are not prepared to offer proper support for addressing the dynamic aspects of mobile systems. Modern distributed applications need a middleware that is capable of adapting to environment changes and that supports the required level of quality of service. This paper represents the experience of several research projects related to next generation middleware systems. We first indicate the major challenges in mobile computing systems and try to identify the main requirements for mobile middleware systems. The different categories of mobile middleware technologies are reviewed and their strength and weakness are analyzed.

Session and Network Support for Autonomous Context-Aware Multiparty Communications in Heterogeneous Mobile Systems

2010 ◽  
Vol 1 (4) ◽  
pp. 1-24 ◽  
Author(s):  
Josephina Antoniou ◽  
Christophoros Christophorou ◽  
Augusto Neto ◽  
Susana Sargento ◽  
Filipe Pinto ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Performance Optimization ◽  
Network Performance ◽  
Future Internet ◽  
Mobile Systems ◽  
Context Aware ◽  
Network Support ◽  
Different Types ◽  
Optimization Schemes ◽  
Service Groups

The increase of networking complexity requires the design of new performance optimization schemes for delivering different types of sessions to users under different conditions. In this regard, special attention is given to multi-homed environments, where mobile devices cross areas with overlapping access technologies (Wi-Fi, 3G, WiMax). In such a scenario, efficient multiparty delivery depends upon the grouping operation, which must be done based on several parameters. In this paper, the authors propose context-aware sub-grouping of content-based service groups so that the same service session can be delivered using different codings of the same content, adapting to current network, users, session, and environment context. The context-aware information is used to improve the sub-grouping process. This paper aims to describe these sub-grouping techniques, and in particular how they improve network performance and user experience in the future Internet by focusing on the improved network-level and session-level mechanisms.

Context-Aware Task Distribution for Enhanced M-health Application Performance

2010 ◽  
pp. 285-307
Author(s):  
Hailiang Mei ◽  
Bert-Jan van Beijnum ◽  
Ing Widya ◽  
Val Jones ◽  
Hermie Hermens
Keyword(s):  
Distributed Processing ◽  
Task Assignment ◽  
Mobile Systems ◽  
Context Aware ◽  
Application Performance ◽  
Dynamic Task ◽  
Mobile Healthcare ◽  
Decision Mechanism ◽  
Graph Mapping ◽  
Health Application

Building context-aware mobile healthcare systems has become increasingly important with the emergence of new medical sensor technologies, the fast adoption of advanced mobile systems, and improved quality of care required by today’s patients. A unique feature of our mobile healthcare system is a distributed processing paradigm whereby a set of bio-signal processing tasks is spread across a heterogeneous network. As well as applying the traditional adaptation methods such as protocol adaptation and data prioritization, the authors investigate the possibility of adaptation based on dynamic task redistribution. In this chapter, the authors propose an adaptation middleware that consists of a task assignment decision mechanism and a task redistribution infrastructure. The decision mechanism represents task assignment as a graph mapping problem and searches for the optimal assignment given the latest context information. Once a new assignment is identified, the member tasks are distributed accordingly by the distribution infrastructure. A prototype implementation based on the OSGi framework is reported to validate the task redistribution infrastructure.

Advances in network-supported media delivery in next-generation mobile systems

2006 ◽  
Vol 44 (8) ◽  
pp. 82-89 ◽  
Author(s):  
F. Hartung ◽  
N. Niebert ◽  
A. Schieder ◽  
R. Rembarz ◽  
S. Schmid ◽  
...  
Keyword(s):  
Mobile Systems ◽  
Next Generation ◽  
Media Delivery

The SONG (SOlutions for Next Generation Mobile Systems) Project

2003 ◽  
pp. 207-212
Author(s):  
Sándor Imre ◽  
László Pap ◽  
Ferenc Balázs ◽  
János Horváth Cz. ◽  
Róbert Schulcz ◽  
...  
Keyword(s):  
Mobile Systems ◽  
Next Generation
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