Proceedings of the 27th Annual International Conference on Mobile Computing and Networking最新文献_第4页

Nervion: a cloud native RAN emulator for scalable and flexible mobile core evaluation Nervion:一个云原生RAN模拟器，用于可扩展和灵活的移动核心评估

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483248

Jon Larrea, M. Marina, J. Merwe

{"title":"Nervion: a cloud native RAN emulator for scalable and flexible mobile core evaluation","authors":"Jon Larrea, M. Marina, J. Merwe","doi":"10.1145/3447993.3483248","DOIUrl":"https://doi.org/10.1145/3447993.3483248","url":null,"abstract":"Given the wide interest on mobile core systems and their pivotal role in the operations of current and future mobile network services, we focus on the issue of their effective evaluation, considering the radio access network (RAN) emulation methodology. While there exist a number of different RAN emulators, following different paradigms, they are limited in their scalability and flexibility, and moreover there is no one commonly accepted RAN emulator. Motivated by this, we present Nervion, a scalable and flexible RAN emulator for mobile core system evaluation that takes a novel cloud-native approach. Nervion embeds innovations to enable scalability via abstractions and RAN element containerization, and additionally supports an even more scalable control-plane only mode. It also offers ample flexibility in terms of realizing arbitrary RAN emulation scenarios, mapping them to compute clusters, and evaluating diverse core system designs. We develop a prototype implementation of Nervion that supports 4G and 5G standard compliant RAN emulation and integrate it into the Powder platform to benefit the research community. Our experimental evaluations validate its correctness and demonstrate its scalability relative to representative set of existing RAN emulators. We also present multiple case studies using Nervion that highlight its flexibility to support diverse types of mobile core evaluations.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"38 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":"125102761","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: 7

Colosseum, the world's largest wireless network emulator Colosseum，世界上最大的无线网络模拟器

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3488032

T. Melodia, S. Basagni, K. Chowdhury, A. Gosain, Michele Polese, Pedram Johari, Leonardo Bonati

{"title":"Colosseum, the world's largest wireless network emulator","authors":"T. Melodia, S. Basagni, K. Chowdhury, A. Gosain, Michele Polese, Pedram Johari, Leonardo Bonati","doi":"10.1145/3447993.3488032","DOIUrl":"https://doi.org/10.1145/3447993.3488032","url":null,"abstract":"Practical experimentation and prototyping are core steps in the development of any wireless technology. Often times, however, this crucial step is confined to small laboratory setups that do not capture the scale of commercial deployments and do not ensure result reproducibility and replicability, or it is skipped altogether for lack of suitable hardware and testing facilities. Recent years have seen the development of publicly-available testing platforms for wireless experimentation at scale. Examples include the testbeds of the PAWR program and Colosseum, the world's largest wireless network emulator. With its 256 software-defined radios, 24 racks of powerful compute servers and first-of-its-kind channel emulator, Colosseum allows users to prototype wireless solutions at scale, and guarantees reproducibility and replicability of results. This tutorial provides an overview of the Colosseum platform. We describe the architecture and components of the testbed as a whole, and we then showcase how to run practical experiments in diverse scenarios with heterogeneous wireless technologies (e.g., Wi-Fi and cellular). We also emphasize how Colosseum experiments can be ported to different testing platforms, facilitating full-cycle experimental wireless research: design, experiments and tests at scale in a fully controlled and observable environment and testing in the field. The tutorial concludes with considerations on the flexible future of Colosseum, focusing on its planned extension to emulate larger scenarios and channels at higher frequency bands (mmWave).","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"79 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":"133005877","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: 10

VI-eye: semantic-based 3D point cloud registration for infrastructure-assisted autonomous driving VI-eye:基于语义的3D点云配准，用于基础设施辅助自动驾驶

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483276

Yuze He, Li Ma, Zhehao Jiang, Yi Tang, G. Xing

{"title":"VI-eye: semantic-based 3D point cloud registration for infrastructure-assisted autonomous driving","authors":"Yuze He, Li Ma, Zhehao Jiang, Yi Tang, G. Xing","doi":"10.1145/3447993.3483276","DOIUrl":"https://doi.org/10.1145/3447993.3483276","url":null,"abstract":"Infrastructure-assisted autonomous driving is an emerging paradigm that aims to make affordable autonomous vehicles a reality. A key technology for realizing this vision is real-time point cloud registration which allows a vehicle to fuse the 3D point clouds generated by its own LiDAR and those on roadside infrastructures such as smart lampposts, which can deliver increased sensing range, more robust object detection, and centimeter-level navigation. Unfortunately, the existing methods for point cloud registration assume two clouds to share a similar perspective and large overlap, which result in significant delay and inaccuracy in real-world infrastructure-assisted driving settings. This paper proposes VI-Eye - the first system that can align vehicle-infrastructure point clouds at centimeter accuracy in real-time. Our key idea is to exploit traffic domain knowledge by detecting a set of key semantic objects including road, lane lines, curbs, and traffic signs. Based on the inherent regular geometries of such semantic objects, VI-Eye extracts a small number of saliency points and leverage them to achieve real-time registration of two point clouds. By allowing vehicles and infrastructures to extract the semantic information in parallel, VI-Eye leads to a highly scalable architecture for infrastructure-assisted autonomous driving. To evaluate the performance of VI-Eye, we collect two new multiview LiDAR point cloud datasets on an indoor autonomous driving testbed and a campus smart lamppost testbed, respectively. They contain total 915 point cloud pairs and cover three roads of 1.12km. Experiment results show that VI-Eye achieves centimeter-level accuracy within around 0.2s, and delivers a 5X improvement in accuracy and 2X speedup over state-of-the-art baselines.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"3 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":"132133538","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: 24

Co-sense: a learning-based collaborative wireless sensing framework 协同感知:一个基于学习的协同无线感知框架

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3482859

Xu Yang, Mingzhi Pang, Faren Yan, Yuqing Yin, Q. Niu, Shouwan Gao

{"title":"Co-sense: a learning-based collaborative wireless sensing framework","authors":"Xu Yang, Mingzhi Pang, Faren Yan, Yuqing Yin, Q. Niu, Shouwan Gao","doi":"10.1145/3447993.3482859","DOIUrl":"https://doi.org/10.1145/3447993.3482859","url":null,"abstract":"Aiming at problems of under-fitting and poor model robustness in learning-based wireless sensing methods caused by the lack of large-scale wireless sensing datasets, this paper proposes a privacy-friendly collaborative wireless sensing framework, called Co-Sense. It builds a community with multiple clients and a server, which aggregates the clients' local models into a federated model with cross-domain capability. To protect the privacy of users' local data, we innovatively introduce the idea of federated learning into the field of wireless sensing, by uploading users' local model parameters instead of their local data. Then, in response to the uneven computing power of different users' edge devices, we propose a local model update algorithm based on adaptive computing power. Furthermore, a client selection algorithm based on test nodes is designed to reduce the negative influence of malicious clients on Co-Sense. Finally, we evaluate Co-Sense on three well-known public wireless datasets, including the gesture dataset, the activity dataset, and the gait dataset. Experimental results show that the sensing accuracy of Co-Sense is more than 10% higher than that of the most advanced wireless sensing models.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"14 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":"124312020","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

Microphone array backscatter: an application-driven design for lightweight spatial sound recording over the air 麦克风阵列后向散射:一种应用驱动的设计，用于空中的轻型空间录音

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483265

Jia Zhao, Wei Gong, Jiangchuan Liu

{"title":"Microphone array backscatter: an application-driven design for lightweight spatial sound recording over the air","authors":"Jia Zhao, Wei Gong, Jiangchuan Liu","doi":"10.1145/3447993.3483265","DOIUrl":"https://doi.org/10.1145/3447993.3483265","url":null,"abstract":"Modern acoustic wearables with microphone arrays are promising to offer rich experience (e.g., 360° sound and acoustic imaging) to consumers. Realtime multi-track audio streaming with precise synchronization however poses significant challenges to the existing wireless microphone array designs that depend on complex digital synchronization as well as bulky and power-hungry hardware. This paper presents a novel microphone array sensor architecture that enables synchronous concurrent transmission of multitrack audio signals using analog backscatter communication. We develop novel Pulse Position Modulation (PPM) and Differential Pulse Position Modulation (DPPM) baseband circuits that can generate a spectral-efficient, time-multiplexing, and multi-track-synchronous baseband signal for backscattering. Its lightweight analog synchronization supports parallel multimedia signals without using any ADCs, DSPs, codecs and RF transceivers, hence largely reducing the complexity, latency, and power consumption. To further enhance self-sustainability, we also design an energy harvester that can extract energy from both sound and RF. We have built a microphone array backscatter sensor prototype using an FPGA, discrete components, and analog devices. Our experiments demonstrate a communication range (sensor-to-reader) of up to 28 meters for 8 audio tracks, and an equivalent throughput of up to 6.4 Mbps with a sample rate over 48KHz. Our sensor achieves 87.4μs of streaming latency for 4 tracks, which is 650x improvement as compared with digital solutions. ASIC design results show that it consumes as low as 175.2μW of power. Three sample applications including an acoustic imaging system, a beamform filter, and a voice control system, all built with our phased-array microphone, further demonstrate the applicability of our design.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"19 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":"114352348","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: 4

Hermes: an efficient federated learning framework for heterogeneous mobile clients Hermes:针对异构移动客户端的高效联邦学习框架

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483278

Ang Li, Jingwei Sun, Pengcheng Li, Yu Pu, H. Li, Yiran Chen

{"title":"Hermes: an efficient federated learning framework for heterogeneous mobile clients","authors":"Ang Li, Jingwei Sun, Pengcheng Li, Yu Pu, H. Li, Yiran Chen","doi":"10.1145/3447993.3483278","DOIUrl":"https://doi.org/10.1145/3447993.3483278","url":null,"abstract":"Federated learning (FL) has been a popular method to achieve distributed machine learning among numerous devices without sharing their data to a cloud server. FL aims to learn a shared global model with the participation of massive devices under the orchestration of a central server. However, mobile devices usually have limited communication bandwidth to transfer local updates to the central server. In addition, the data residing across devices is intrinsically statistically heterogeneous (i.e., non-IID data distribution). Learning a single global model may not work well for all devices participating in the FL under data heterogeneity. Such communication cost and data heterogeneity are two critical bottlenecks that hinder from applying FL in practice. Moreover, mobile devices usually have limited computational resources. Improving the inference efficiency of the learned model is critical to deploy deep learning applications on mobile devices. In this paper, we present Hermes - a communication and inference-efficient FL framework under data heterogeneity. To this end, each device finds a small subnetwork by applying the structured pruning; only the updates of these subnetworks will be communicated between the server and the devices. Instead of taking the average over all parameters of all devices as conventional FL frameworks, the server performs the average on only overlapped parameters across each subnetwork. By applying Hermes, each device can learn a personalized and structured sparse deep neural network, which can run efficiently on devices. Experiment results show the remarkable advantages of Hermes over the status quo approaches. Hermes achieves as high as 32.17% increase in inference accuracy, 3.48× reduction on the communication cost, 1.83× speedup in inference efficiency, and 1.8× savings on energy consumption.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"38 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":"122512026","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: 75

An ear canal deformation based continuous user authentication using earables 基于耳道变形的可穿戴设备连续用户认证

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3482858

Z. Wang, Sheng Tan, Linghan Zhang, Yili Ren, Zhi Wang, Jie Yang

{"title":"An ear canal deformation based continuous user authentication using earables","authors":"Z. Wang, Sheng Tan, Linghan Zhang, Yili Ren, Zhi Wang, Jie Yang","doi":"10.1145/3447993.3482858","DOIUrl":"https://doi.org/10.1145/3447993.3482858","url":null,"abstract":"Biometric-based authentication is gaining increasing attention for wearables and mobile applications. Meanwhile, the growing adoption of sensors in wearables also provides opportunities to capture novel wearable biometrics. In this work, we propose EarDynamic, an ear canal deformation based user authentication using ear wearables (earables). EarDynamic provides continuous and passive user authentication and is transparent to users. It leverages ear canal deformation that combines the unique static geometry and dynamic motions of the ear canal when the user is speaking for authentication. It utilizes an acoustic sensing approach to capture the ear canal deformation with the built-in microphone and speaker of the earables. Specifically, it first emits well-designed inaudible beep signals and records the reflected signals from the ear canal. It then analyzes the reflected signals and extracts fine-grained acoustic features that correspond to the ear canal deformation for user authentication. Our experimental evaluation shows that EarDynamic can achieve a recall of 97.38% and an F1 score of 96.84%.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"1 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":"114936587","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

MVP: magnetic vehicular positioning system for GNSS-denied environments MVP:用于gnss拒绝环境的磁性车辆定位系统

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483264

Chia-Cheng Wang, Jyh-cheng Chen, Yi Chen, Rui-Heng Tu, Jia-Jiun Lee, Yugang Xiao, Shan-Yu Cai

引用次数: 3

Federated mobile sensing for activity recognition 用于活动识别的联合移动传感

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3488031

Stefanos Laskaridis, Dimitris Spathis, Mário Almeida

引用次数: 1

PCube: scaling LoRa concurrent transmissions with reception diversities PCube:根据接收分集调整LoRa并发传输

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking Pub Date : 2021-10-19 DOI: 10.1145/3447993.3483268

Xianjin Xia, Ningning Hou, Yuanqing Zheng, Tao Gu

{"title":"PCube: scaling LoRa concurrent transmissions with reception diversities","authors":"Xianjin Xia, Ningning Hou, Yuanqing Zheng, Tao Gu","doi":"10.1145/3447993.3483268","DOIUrl":"https://doi.org/10.1145/3447993.3483268","url":null,"abstract":"This paper presents the design and implementation of PCube, a phase-based parallel packet decoder for concurrent transmissions of LoRa nodes. The key enabling technology behind PCube is a novel air-channel phase measurement technique which is able to extract phase differences of air-channels between LoRa nodes and multiple antennas of a gateway. PCube leverages the reception diversities of multiple receiving antennas of a gateway and scales the concurrent transmissions of a large number of LoRa nodes, even exceeding the number of receiving antennas at a gateway. As a phase-based parallel decoder, PCube provides a new dimension to resolve collisions and supports more concurrent transmissions by complementing time and frequency based parallel decoders. PCube is implemented and evaluated with synchronized software defined radios and off-the-shelf LoRa nodes in both indoors and outdoors. Results demonstrate that PCube can substantially outperform state-of-the-art works in terms of aggregated throughput by 4.9× and the number of concurrent nodes by up to 5×. More importantly, PCube scales well with the number of receiving antennas of a gateway, which is promising to break the barrier of concurrent transmissions.","PeriodicalId":177431,"journal":{"name":"Proceedings of the 27th Annual International Conference on Mobile Computing and Networking","volume":"44 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120856886","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