Understanding operational 5G: A first measurement study on its coverage, performance and energy consumption
5G, as a monumental shift in cellular communication technology, holds tremendous potential
for spurring innovations across many vertical industries, with its promised multi-Gbps speed …
for spurring innovations across many vertical industries, with its promised multi-Gbps speed …
Concordia: Teaching the 5G vRAN to share compute
X Foukas, B Radunovic - Proceedings of the 2021 ACM SIGCOMM 2021 …, 2021 - dl.acm.org
Virtualized Radio Access Network (vRAN) offers a cost-efficient solution for running the 5G
RAN as a virtualized network function (VNF) on commodity hardware. The vRAN is more …
RAN as a virtualized network function (VNF) on commodity hardware. The vRAN is more …
PERCEIVE: Deep learning-based cellular uplink prediction using real-time scheduling patterns
J Lee, S Lee, J Lee, SD Sathyanarayana… - Proceedings of the 18th …, 2020 - dl.acm.org
As video calls and personal broadcasting become popular, the demand for mobile live
streaming over cellular uplink channels is growing fast. However, current live streaming …
streaming over cellular uplink channels is growing fast. However, current live streaming …
PBE-CC: Congestion control via endpoint-centric, physical-layer bandwidth measurements
Cellular networks are becoming ever more sophisticated and overcrowded, imposing the
most delay, jitter, and throughput damage to end-to-end network flows in today's internet. We …
most delay, jitter, and throughput damage to end-to-end network flows in today's internet. We …
Characterizing and modeling mobile networks user traffic at millisecond level
The availability of datasets has been instrumental to drive advances in several disciplines
like computer vision, image processing, and natural language processing. However, in the …
like computer vision, image processing, and natural language processing. However, in the …
FALCON: An accurate real-time monitor for client-based mobile network data analytics
R Falkenberg, C Wietfeld - 2019 IEEE Global Communications …, 2019 - ieeexplore.ieee.org
Network data analysis is the fundamental basis for the development of methods to increase
service quality in mobile networks. This requires accurate data of the current load in the …
service quality in mobile networks. This requires accurate data of the current load in the …
{Device-Based}{LTE} latency reduction at the application layer
We design and implement LRP, a device-based, standard-compliant solution to latency
reduction in mobile networks. LRP takes a data-driven approach. It works with a variety of …
reduction in mobile networks. LRP takes a data-driven approach. It works with a variety of …
Learning-based joint QoE optimization for adaptive video streaming based on smart edge
X Ma, Q Li, Y Jiang, GM Muntean… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The latest increase in HTTP-based adaptive video streaming over the Internet enables a
growing number of clients to compete for a shared bottleneck bandwidth. This competition …
growing number of clients to compete for a shared bottleneck bandwidth. This competition …
Data-plane signaling in cellular IoT: attacks and defense
In this paper, we devise new attacks exploiting the unprotected data-plane signaling in
cellular IoT networks (aka both NB-IoT and Cat-M). We show that, despite the deployed …
cellular IoT networks (aka both NB-IoT and Cat-M). We show that, despite the deployed …
Experience: a five-year retrospective of MobileInsight
This paper reports our five-year lessons of developing and using MobileInsight, an open-
source community tool to enable software-defined full-stack, runtime mobile network …
source community tool to enable software-defined full-stack, runtime mobile network …