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Proceedings of the 21st Annual International Conference on Mobile Computing and Networking最新文献

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WiDraw: Enabling Hands-free Drawing in the Air on Commodity WiFi Devices WiDraw:在商用WiFi设备上实现空中免提绘图
Li Sun, Souvik Sen, Dimitrios Koutsonikolas, Kyu-Han Kim
This paper demonstrates that it is possible to leverage WiFi signals from commodity mobile devices to enable hands-free drawing in the air. While prior solutions require the user to hold a wireless transmitter, or require custom wireless hardware, or can only determine a pre-defined set of hand gestures, this paper introduces WiDraw, the first hand motion tracking system using commodity WiFi cards, and without any user wearables. WiDraw harnesses the Angle-of-Arrival values of incoming wireless signals at the mobile device to track the user's hand trajectory. We utilize the intuition that whenever the user's hand occludes a signal coming from a certain direction, the signal strength of the angle representing the same direction will experience a drop. Our software prototype using commodity wireless cards can track the user's hand with a median error lower than 5 cm. We use WiDraw to implement an in-air handwriting application that allows the user to draw letters, words, and sentences, and achieves a mean word recognition accuracy of 91%.
本文证明了利用商用移动设备的WiFi信号实现空中免提绘画是可能的。之前的解决方案需要用户手持无线发射器,或者需要定制无线硬件,或者只能确定一组预定义的手势,而本文介绍的WiDraw是第一个使用商用WiFi卡的手部运动跟踪系统,没有任何用户可穿戴设备。WiDraw利用移动设备传入无线信号的到达角值来跟踪用户的手部轨迹。我们利用这样的直觉:每当用户的手遮挡了来自某个方向的信号时,代表同一方向的角度的信号强度就会下降。我们的软件原型使用商品无线卡可以跟踪用户的手,中间误差低于5厘米。我们使用WiDraw实现了一个空中手写应用程序,允许用户绘制字母、单词和句子,并实现了91%的平均单词识别准确率。
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引用次数: 268
Agility and Fragility in a Real-time World 实时世界中的敏捷性和脆弱性
Gilles Grapinet
Connected mobile devices have now reached the age of being perceived as a commodity. Users expect to be able to enjoy the same level of service and performance both on the go and at home. A new wave of cloud-supported services brought about by the integration of machine learning in consumer electronics –such as Smart watches, NEST sensors, and Self-Driving cars –is entering the market with a disruptive power. The Internet of Everything is already on our wrists, cars, buildings, and pockets, and is pushing through new economic models (such as Shared Economy or Data Economy). Current technology is struggling to meet the demands posed by new applications and services; specifically, it lacks the agility needed to adapt to fast-changing business models and technical requirements; it also comes with fragilities as most of our current infrastructures, systems and solutions were not designed to allow massive usage of real-time applications at personal level. Security, connectivity, mobility, latency, and scalability are just some of the many challenges that pave the way towards a seamless user experience. Device-todevice communications along with new business and trust models will dominate the Internet. It is essential for the Internet of Everything to succeed, and that industry, government and academia join forces to build brand new protocol architectures, computing paradigms, and regulatory frameworks designed to support mobility, high performance services, strong security and a fine user privacy granularity adapted to an expanding level of personal data dissemination.
联网移动设备现在已经到了被视为一种商品的时代。用户希望无论在旅途中还是在家中都能享受到相同水平的服务和性能。消费电子产品(如智能手表、NEST传感器和自动驾驶汽车)中机器学习的整合带来的新一波云支持服务正在以颠覆性的力量进入市场。万物互联已经出现在我们的手腕、汽车、建筑和口袋中,并正在推动新的经济模式(如共享经济或数据经济)。当前的技术正在努力满足新应用和服务带来的需求;具体来说,它缺乏适应快速变化的业务模型和技术需求所需的敏捷性;它也带来了脆弱性,因为我们目前的大多数基础设施、系统和解决方案都没有设计成允许在个人层面上大量使用实时应用程序。安全性、连接性、移动性、延迟和可伸缩性只是为实现无缝用户体验铺平道路的众多挑战中的一部分。设备对设备通信以及新的商业和信任模式将主导互联网。万物互联的成功至关重要,行业、政府和学术界联手构建全新的协议架构、计算范式和监管框架,旨在支持移动性、高性能服务、强大的安全性和精细的用户隐私粒度,以适应不断扩大的个人数据传播水平。
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引用次数: 0
Experience: Rethinking RRC State Machine Optimization in Light of Recent Advancements 经验:根据最新进展重新思考RRC状态机优化
Theodore Stoner, Xuetao Wei, Joseph Knight, Lei Guo
Broadband mobile networks utilize a radio resource control (RRC) state machine to allocate scarce radio resources. Current implementations introduce high latencies and cross-layer degradation. Recently, the RRC enhancements, continuous packet connectivity (CPC) and the enhanced forward access channel (Enhanced FACH), have emerged in UMTS. We study the availability and performance of these enhancements on a network serving a market with a population in the millions. Our experience in the wild shows these enhancements offer significant reductions in latency, mobile device energy consumption, and improved end user experience. We develop new over-the-air measurements that resolve existing limitations in measuring RRC parameters. We find CPC provides significant benefits with minimal resource costs, prompting us to rethink past optimization strategies. We examine the cross-layer performance of CPC and Enhanced FACH, concluding that CPC provides reductions in mobile device energy consumption for many applications. While the performance increase of HS-FACH is substantial, cross-layer performance is limited by the legacy uplink random access channel (RACH), and we conclude full support of Enhanced FACH is necessary to benefit most applications. Given that UMTS growth will exceed LTE for several more years and the greater worldwide deployment of UMTS, our quantitative results should be of great interest to network operators adding capacity to these networks. Finally, these results provide new insights for application developers wishing to optimize performance with these RRC enhancements.
宽带移动网络利用无线电资源控制(RRC)状态机来分配稀缺的无线电资源。当前的实现引入了高延迟和跨层退化。最近,在UMTS中出现了RRC增强、连续分组连接(CPC)和增强型前向接入信道(enhanced FACH)。我们在服务于数百万人口市场的网络上研究这些增强功能的可用性和性能。我们的实际经验表明,这些增强显著降低了延迟、移动设备能耗,并改善了终端用户体验。我们开发了新的空中测量,解决了测量RRC参数的现有限制。我们发现CPC以最小的资源成本提供了显著的好处,这促使我们重新思考过去的优化策略。我们研究了CPC和增强型FACH的跨层性能,得出结论认为CPC为许多应用提供了移动设备能耗的降低。虽然HS-FACH的性能提高是实质性的,但跨层性能受到传统上行随机接入信道(RACH)的限制,我们得出结论,全面支持增强型FACH对大多数应用都是必要的。考虑到UMTS的增长将在未来几年超过LTE,以及UMTS在全球范围内的更大部署,我们的定量结果应该对网络运营商增加这些网络容量非常感兴趣。最后,这些结果为希望通过这些RRC增强来优化性能的应用程序开发人员提供了新的见解。
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引用次数: 3
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Proceedings of the 21st Annual International Conference on Mobile Computing and Networking
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