According to Cisco Annual Internet Report, over 70 percent of the global population will have mobile connectivity by 2023, while machine-to-machine (M2M) communications will account for half of the global connections. In addition, the COVID-19 pandemic outbreak accelerated the need for reliable broadband Internet and mobility support at scale.Accordingly, the last two decades have witnessed the continuous evolution of mobile network architectures to support the unprecedented growth in mobile data traffic and quality of service demands. Higher-throughput and lower-latency 5G networks, Network Function Virtualization, Network Slicing, Mobile Edge Computing, Open RAN, and RAN disaggregation are only a few of the research trends that promise to deliver a more reliable, faster, and secure mobile Internet experience. ACM MobiArch 2022 will continue to serve as a forum for discussing recent research trends and future directions gathered around all aspects of mobile communication technologies and mobile Internet architectures, such as system and radio access challenges that have to be faced to implement reliable, optimized, and scalable mobile networked systems.
Proceeding Downloads
Load balancing for a user-level virtualized 5G cloud-RAN
5G cellular networks support a wide variety of applications with different Service Level Objectives (SLOs) over a shared infrastructure using virtualization. Virtualization enables network operators to allocate a tailored set of computational resources ...
When 360-degree video meets 5G: a measurement study of delay in live streaming
Live 360° video can provide users with an immersive viewing and interactive experience, and end-to-end live delay is an important metric in quality of experience (QoE). The low latency and high bandwidth nature makes 5G become promising to deliver huge ...
MAPS: a dataset for semantic profiling and analysis of Android applications
The vulnerability of smartphones to cyber attacks has been a serious concern for users emerging from the integrity of installed mobile applications (apps). These applications are fundamentally developed to provide legitimate and diversified on-the-go ...
A survey on participant selection for federated learning in mobile networks
Federated Learning (FL) is an efficient distributed machine learning paradigm that employs private datasets in a privacy-preserving manner. The main challenges of FL are that end devices usually possess various computation and communication capabilities ...
μCity: a miniatured autonomous vehicle testbed
This work presents μCity, an environment to design, develop, deploy, and test autonomous vehicles (AVs) within a laboratory setting using miniaturized vehicles, as well as corresponding road and traffic infrastructure. μCity uses a controlled indoor ...
BI-GAN: batch inversion membership inference attack on federated learning
Federated Learning is a growing advanced collaborative machine learning framework that aims to preserve user-privacy data. However, multiple researchers have investigated attack methods from the server side via gradient inversion techniques or ...
EPC: a video analytics system with efficient edge-side privacy control
Edge-cloud video analytics systems capture video streams by edge cameras and send the video streams to the cloud for analytics to support applications like video surveillance, VR/AR, autonomous driving, etc. Video streams captured at the edge may ...
A two-level architecture for deep learning applications in mobile edge computing
As the deep learning models keep growing larger, it becomes more difficult to carry out highly accurate inference on mobile and Internet of things (IoT) devices with acceptable latency. By using edge computing, a popular approach to reducing inference ...
SwingLoc: acoustic indoor localization leveraging doppler effects via wearable computing
Indoor localization using mobile sensing platforms has become a ubiquitous service that enables various smart building and health-care related applications. As wearable device becomes an important player in the mobile market, an indoor localization ...
Less is more: towards low-latency communication trough cross-technology communication
Supporting time-sensitive (TS) communication in a radio spectrum shared with broadband (BB) data is challenging, especially in the unlicensed spectrum. A traditional Multi-Technology Access Point (MTAP) equipped with two different radio interfaces, ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
MobiArch'20 | 15 | 9 | 60% |
MobiArch '16 | 12 | 6 | 50% |
MobiArch '15 | 18 | 6 | 33% |
MobiArch '14 | 17 | 11 | 65% |
MobiArch '13 | 16 | 8 | 50% |
MobiArch '11 | 14 | 7 | 50% |
Overall | 92 | 47 | 51% |