Proceedings of the 27th Annual International Conference on Mobile Computing and Networking最新文献_第2页

Nervion: a cloud native RAN emulator for core network evaluations Nervion:用于核心网络评估的云原生RAN模拟器

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-25 DOI: 10.1145/3447993.3510588

Jon Larrea, M. Marina, J. Merwe

引用次数: 0

Experience: developing a usable battery drain testing and diagnostic tool for the mobile industry 经验:为移动行业开发可用的电池损耗测试和诊断工具

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-25 DOI: 10.1145/3447993.3483269

Abhilash Jindal, Y. C. Hu

{"title":"Experience: developing a usable battery drain testing and diagnostic tool for the mobile industry","authors":"Abhilash Jindal, Y. C. Hu","doi":"10.1145/3447993.3483269","DOIUrl":"https://doi.org/10.1145/3447993.3483269","url":null,"abstract":"In this paper, we report on our 6-year experience developing Eagle Tester (eTester for short) - a mobile battery drain testing and diagnostic tool. We show how eTester evolved from an \"academic\" prototype to a fully automated tool usable by the mobile industry. We first present the design of our initial research prototype and discuss 8 key requirements for a usable battery drain testing and diagnostic tool gathered from some of the most popular software vendors in the Android ecosystem. These requirements posed interesting scientific and engineering challenges such as how to accurately estimate battery drain without requiring a priori power modeling, work on unmodified devices, and automatically monitor code evolution to generate high-fidelity battery spike alerts with actionable insights. These requirements motivated a complete overhaul of the eTester design and led to the creation of a novel battery drain testing methodology. We show how the redesigned eTester was used to effortlessly find battery bugs in some of the most popular Android apps with hundreds of millions of users, such as Netflix and CNN. We are open-sourcing eTester to encourage further research in battery diagnosis and to empower developers to write battery-efficient mobile software.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132994477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Nuberu: a reliable DU design suitable for virtualization platforms Nuberu:适用于虚拟化平台的可靠DU设计

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-25 DOI: 10.1145/3447993.3511173

Gines Garcia-Aviles, Andres Garcia-Saavedra, M. Gramaglia, X. Costa, P. Serrano, A. Banchs

引用次数: 0

Long-range accurate ranging of millimeter-wave retro-reflective tags in high mobility 高移动性毫米波反向反射标签的远程精确测距

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-25 DOI: 10.1145/3447993.3510592

Thomas Horton King, Elahe Soltanaghai, Akarsh Prabhakara, Artur Balanuta, Swarun Kumar, Anthony G. Rowe

{"title":"Long-range accurate ranging of millimeter-wave retro-reflective tags in high mobility","authors":"Thomas Horton King, Elahe Soltanaghai, Akarsh Prabhakara, Artur Balanuta, Swarun Kumar, Anthony G. Rowe","doi":"10.1145/3447993.3510592","DOIUrl":"https://doi.org/10.1145/3447993.3510592","url":null,"abstract":"In this paper, we demonstrate Adaptive Millimetro as an extension of Millimetro, an ultra-low power millimeter-wave (mmWave) retro-reflector presented in [1], for high mobility scenarios. Adaptive Millimetro makes use of automotive radars and enables communication with and accurate localization of roadside infrastructure overextended distances (i.e. >100m). Millimetro achieves this by designing ultra-low-power retro-reflective tags that operate in the mmWave frequency band and can be embedded in road signs, pavements, bi-cycles, or even the clothing of pedestrians. Millimetro addresses the severe path loss problem of mmWave signals by combining coding gain and retro-reflective antenna front-end to achieve long-range operation. However, highly mobile scenarios may still experience unreliable performance due to the Doppler effect changing the received signals. In this paper, we demonstrate a simple solution for robust localization in high mobility by implementing a Moving Target Indication (MTI) filter and an adaptive Kalman filter. We also present an augmented reality app, as an in-car AR platform, that uses Adaptive Millimetro’s algorithms to estimate the tag positions and overlay a virtual box at the estimated locations.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"569 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116255026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FIRE: enabling reciprocity for FDD MIMO systems FIRE:实现FDD MIMO系统的互易性

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-25 DOI: 10.1145/3447993.3483275

Zikun Liu, Gagandeep Singh, Chenren Xu, Deepak Vasisht

引用次数: 9

Extracting human behavioral biometrics from robot motions 从机器人动作中提取人类行为生物特征

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3482860

Long Huang, Zhen Meng, Zeyu Deng, Chen Wang, Liying Li, Guodong Zhao

引用次数: 1

MoVi-Fi: motion-robust vital signs waveform recovery via deep interpreted RF sensing MoVi-Fi:通过深度解释射频传感恢复运动鲁棒生命体征波形

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483251

Zhe Chen, Tianyue Zheng, Chao Cai, Jun Luo

{"title":"MoVi-Fi: motion-robust vital signs waveform recovery via deep interpreted RF sensing","authors":"Zhe Chen, Tianyue Zheng, Chao Cai, Jun Luo","doi":"10.1145/3447993.3483251","DOIUrl":"https://doi.org/10.1145/3447993.3483251","url":null,"abstract":"Vital signs are crucial indicators for human health, and researchers are studying contact-free alternatives to existing wearable vital signs sensors. Unfortunately, most of these designs demand a subject human body to be relatively static, rendering them very inconvenient to adopt in practice where body movements occur frequently. In particular, radio-frequency (RF) based contact-free sensing can be severely affected by body movements that overwhelm vital signs. To this end, we introduce MoVi-Fi as a motion-robust vital signs monitoring system, capable of recovering fine-grained vital signs waveform in a contact-free manner. Being a pure software system, MoVi-Fi can be built on top of virtually any commercial-grade radars. What inspires our design is that RF reflections caused by vital signs, albeit weak, do not totally disappear but are composited with other motion-incurred reflections in a nonlinear manner. As nonlinear blind source separation is inherently hard, MoVi-Fi innovatively employs deep contrastive learning to tackle the problem; this self-supervised method requires no ground truth in training, and it exploits contrastive signal features to distinguish vital signs from body movements. Our experiments with 12 subjects and 80hour data demonstrate that MoVi-Fi accurately recovers vital signs waveform under severe body movements.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122118355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 66

EMP 电磁脉冲

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483242

Xumiao Zhang, Anlan Zhang, Jiachen Sun, Xiao Zhu, Y. E. Guo, Fengqi Qian, Z. Mao

{"title":"EMP","authors":"Xumiao Zhang, Anlan Zhang, Jiachen Sun, Xiao Zhu, Y. E. Guo, Fengqi Qian, Z. Mao","doi":"10.1145/3447993.3483242","DOIUrl":"https://doi.org/10.1145/3447993.3483242","url":null,"abstract":"Connected and Autonomous Vehicles (CAVs) heavily rely on 3D sensors such as LiDARs, radars, and stereo cameras. However, 3D sensors from a single vehicle suffer from two fundamental limitations: vulnerability to occlusion and loss of details on far-away objects. To overcome both limitations, in this paper, we design, implement, and evaluate EMP, a novel edge-assisted multi-vehicle perception system for CAVs. In EMP, multiple nearby CAVs share their raw sensor data with an edge server which then merges CAVs' individual views to form a more complete view with a higher resolution. The merged view can drastically enhance the perception quality of the participating CAVs. Our core methodological contribution is to make the sensor data sharing scalable, adaptive, and resource-efficient over oftentimes highly fluctuating wireless links through a series of novel algorithms, which are then integrated into a full-fledged cooperative sensing pipeline. Extensive evaluations demonstrate that EMP can achieve real-time processing at 24 FPS and end-to-end latency of 93 ms on average. EMP reduces the end-to-end latency by 49% to 65% compared to the traditional vehicle-to-vehicle (V2V) sharing approach without edge support. Our case studies show that cooperative sensing powered by EMP can detect hazards such as blind spots faster by 0.5 to 1.1 seconds, compared to a single vehicle's perception.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128351155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 47

Combating link dynamics for reliable lora connection in urban settings 在城市环境中对抗链路动态以实现可靠的lora连接

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483250

Shuai Tong, Zilin Shen, Yunhao Liu, Jiliang Wang

{"title":"Combating link dynamics for reliable lora connection in urban settings","authors":"Shuai Tong, Zilin Shen, Yunhao Liu, Jiliang Wang","doi":"10.1145/3447993.3483250","DOIUrl":"https://doi.org/10.1145/3447993.3483250","url":null,"abstract":"LoRa, as a representative Low-Power Wide-Area Network (LPWAN) technology, can provide long-range communication for battery-powered IoT devices with a 10-year lifetime. LoRa links in practice, however, experience high dynamics in various environments. When the SNR falls below the threshold (e.g., in the building), a LoRa device disconnects from the network. We propose Falcon, which addresses the link dynamics by enabling data transmission for very low SNR or even disconnected LoRa links. At the heart of Falcon, we reveal that low SNR LoRa links that cannot deliver packets can still introduce interference to other LoRa transmissions. Therefore, Falcon transmits data bits on the low SNR link by selectively interfering with other LoRa transmissions. We address practical challenges in Falcon design. We propose a low-power channel activity detection method to detect other LoRa transmissions for selective interference. To interfere with the so-called interference-resilient LoRa, we accurately estimate the time and frequency offsets on LoRa packets and propose an adaptive frequency adjusting strategy to maximize the interference. We implement Falcon, all using commercial off-the-shelf LoRa devices, and extensively evaluate its performance. The results show that Falcon can provide reliable communication links for disconnected LoRa devices and achieves the SNR boundary upto 7.5 dB lower than that of standard LoRa.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129021520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 26

Long-range ambient LoRa backscatter with parallel decoding 远距离环境LoRa后向散射并行解码

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483261

Jinyan Jiang, Zhenqiang Xu, Fan Dang, Jiliang Wang

{"title":"Long-range ambient LoRa backscatter with parallel decoding","authors":"Jinyan Jiang, Zhenqiang Xu, Fan Dang, Jiliang Wang","doi":"10.1145/3447993.3483261","DOIUrl":"https://doi.org/10.1145/3447993.3483261","url":null,"abstract":"LoRa backscatter is a promising technology to achieve low-power and long-distance communication for connecting millions of devices in the Internet of Things. We present P2LoRa, the first ambient LoRa backscatter system with parallel decoding and long-range communication. The high level idea of P2LoRa is to modulate data by shifting ambient LoRa packets with a small frequency. To achieve long distance communication, we enhance the SNR of the backscatter signal by concentrating leaked energy in both the frequency domain and time domain. We propose a method to accurately reconstruct and cancel the in-band excitation signal, which is orders of magnitude higher than the backscatter signal. For parallel decoding, we propose a method to cancel inter-tag interference with very low overhead and address the signal misalignment problem due to different time of flight. We prototype the P2LoRa tag with customized low-cost hardware and implement the P2LoRa gateway on USRP. Through extensive evaluations, we show that P2LoRa achieves a long communication distance of 2.2 km with ambient LoRa, and supports 101 parallel tag transmissions.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121938793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 36