Mobile telephony

About: Mobile telephony is a research topic. Over the lifetime, 38008 publications have been published within this topic receiving 553646 citations.

Deep Reinforcement Learning for Mobile Edge Caching: Review, New Features, and Open Issues

Abstract: Mobile edge caching is a promising technique to reduce network traffic and improve the quality of experience of mobile users. However, mobile edge caching is a challenging decision making problem with unknown future content popularity and complex network characteristics. In this article, we advocate the use of DRL to solve mobile edge caching problems by presenting an overview of recent works on mobile edge caching and DRL. We first examine the key issues in mobile edge caching and review the existing learning- based solutions proposed in the literature. We also discuss the unique features in the application of DRL in mobile edge caching, and illustrate an example of DRL-based mobile edge caching with trace-data-driven simulation results. This article concludes with a discussion of several open issues that call for substantial future research efforts.

Vision, requirements and network architecture of 6G mobile network beyond 2030

Abstract: With the 5th Generation (5G) Mobile network being rolled out gradually in 2019, the research for the next generation mobile network has been started and targeted for 2030. To pave the way for the development of the 6th Generation (6G) mobile network, the vision and requirements should be identified first for the potential key technology identification and comprehensive system design. This article first identifies the vision of the society development towards 2030 and the new application scenarios for mobile communication, and then the key performance requirements are derived from the service and application perspective. Taken into account the convergence of information technology, communication technology and big data technology, a logical mobile network architecture is proposed to resolve the lessons from 5G network design. To compromise among the cost, capability and flexibility of the network, the features of the 6G mobile network are proposed based on the latest progress and applications of the relevant fields, namely, on-demand fulfillment, lite network, soft network, native AI and native security. Ultimately, the intent of this article is to serve as a basis for stimulating more promising research on 6G.

Capability of 3-D Ray Tracing for Defining Parameter Sets for the Specification of Future Mobile Communications Systems

Abstract: Three-dimensional (3-D) ray tracing has advanced to such a degree that it can provide channel parameters like delay spread, Doppler spread, angular spread, and distribution functions of long- and short-term fading with high accuracy for fixed to mobile and mobile to mobile communications These parameters are absolutely required during the specification phase of future mobile communications systems in order to define the air interface and a variety of other relevant system parameters This paper describes state-of-the-art ray tracing capabilities A 3-D ray tracing model developed at the Universitaumlt Karlsruhe is presented Important characteristic channel parameters are briefly discussed Based on these parameters the model is verified by wideband nondirectional and directional measurements at 2 and 52 GHz, respectively, showing a good agreement The proposed 3-D ray tracing model can therefore be used in order to extract parameter sets for the specification of future mobile communications systems and to optimize existing ones

Antennas for Base Stations in Wireless Communications

Abstract: Preface Acknowledgments Introduction Chapter 1. Fundamentals of Antennas Chapter 2. Base Station Antennas for Mobile Radio Systems Chapter 3. Antennas for Mobile Communications: CDMA, GSM, and WCDMA Chapter 4. Advanced Antennas for Radio Base Stations Chapter 5. Antennas Issues and Technologies for Enhancing System Capacity Chapter 6. New Unidirectional Antennas for Various Wireless Base Stations Chapter 7. Antennas for WLAN (WiFi) Applications Chapter 8. Antennas for Wireless Personal Area Network (WPAN) Applications: RFID/UWB Positioning Index

Evaluating the accuracy of data collection on mobile phones: a study of forms, sms, and voice

Abstract: While mobile phones have found broad application in reporting health, financial, and environmental data, there has been little study of the possible errors incurred during mobile data collection. This paper provides the first (to our knowledge) quantitative evaluation of data entry accuracy on mobile phones in a resource-poor setting. Via a study of 13 users in Gujarat, India, we evaluated three user interfaces: 1) electronic forms, containing numeric fields and multiple-choice menus, 2) SMS, where users enter delimited text messages according to printed cue cards, and 3) voice, where users call an operator and dictate the data in real-time. Our results indicate error rates (per datum entered) of 4.2% for electronic forms, 4.8% for SMS, and 0.45% for voice. These results caused us to migrate our own initiative (a tuberculosis treatment program in rural India) from electronic forms to voice, in order to avoid errors on critical health data. While our study has some limitations, including varied backgrounds and training of participants, it suggests that some care is needed in deploying electronic interfaces in resource-poor settings. Further, it raises the possibility of using voice as a low-tech, high-accuracy, and cost-effective interface for mobile data collection.