Mobile telephony

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

Communication system with personal information management and remote vehicle monitoring and control features

Abstract: A vehicle communication system includes a control unit in a vehicle, a vehicle data bus operable to transmit vehicle data to the control unit, and a mobile communication device having data network access. The mobile device has a self-contained mode in which the mobile communication device processes and displays the network data received via the data network and in which the control unit transmits the vehicle data to the mobile communication device. The mobile communication device also has an immersive mode in which the control unit processes the network data received via the data network and in which the control unit converts the vehicle data to audible speech and plays the audible speech in the vehicle.

Offloading in Mobile Cloudlet Systems with Intermittent Connectivity

Abstract: The emergence of mobile cloud computing enables mobile users to offload applications to nearby mobile resource-rich devices (i.e., cloudlets) to reduce energy consumption and improve performance. However, due to mobility and cloudlet capacity, the connections between a mobile user and mobile cloudlets can be intermittent. As a result, offloading actions taken by the mobile user may fail (e.g., the user moves out of communication range of cloudlets). In this paper, we develop an optimal offloading algorithm for the mobile user in such an intermittently connected cloudlet system, considering the users’ local load and availability of cloudlets. We examine users’ mobility patterns and cloudlets’ admission control, and derive the probability of successful offloading actions analytically. We formulate and solve a Markov decision process (MDP) model to obtain an optimal policy for the mobile user with the objective to minimize the computation and offloading costs. Furthermore, we prove that the optimal policy of the MDP has a threshold structure. Subsequently, we introduce a fast algorithm for energy-constrained users to make offloading decisions. The numerical results show that the analytical form of the successful offloading probability is a good estimation in various mobility cases. Furthermore, the proposed MDP offloading algorithm for mobile users outperforms conventional baseline schemes.

Data communications

Abstract: The author describes how events in the consumer market and the business world have recently shaped (and for the next few years will continue to shape) this area far more than technological breakthroughs. The need for real-time delivery of much higher volumes of data to meet the video and audio requirements of coming multimedia applications has driven developments in data speed and in that new realm of technology where data communications converge with other kinds of inputs. Similarly, a rising interest in increasingly mobile communications has sparked an interest in wireless communications. >

Mobile content spidering and compatibility determination

Abstract: An aspect of the present invention relates to systems and methods for indexing mobile content, wherein the indexing is based at least in part on compatibility between the content and a mobile communication facility.

Recommending Social Events from Mobile Phone Location Data

Abstract: A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one deals with such abundance. Mobile phones with positioning technology are now widely available, making it easy for people to broadcast their whereabouts, recommender systems can now identify patterns in people’s movements in order to, for example, recommend events. To do so, the system relies on having mobile users who share their attendance at a large number of social events: cold-start users, who have no location history, cannot receive recommendations. We set out to address the mobile cold-start problem by answering the following research question: how can social events be recommended to a cold-start user based only on his home location? To answer this question, we carry out a study of the relationship between preferences for social events and geography, the first of its kind in a large metropolitan area. We sample location estimations of one million mobile phone users in Greater Boston, combine the sample with social events in the same area, and infer the social events attended by 2,519 residents. Upon this data, we test a variety of algorithms for recommending social events. We find that the most effective algorithm recommends events that are popular among residents of an area. The least effective, instead, recommends events that are geographically close to the area. This last result has interesting implications for location-based services that emphasize recommending nearby events.