Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a
  Generative Adversarial Neural Network   Large-scale mobile traffic analytics is becoming essential to digital
infrastructure provisioning, public transportation, events planning, and other
domains. Monitoring city-wide mobile traffic is however a complex and costly
process that relies on dedicated probes. Some of these probes have limited
precision or coverage, others gather tens of gigabytes of logs daily, which
independently offer limited insights. Extracting fine-grained patterns involves
expensive spatial aggregation of measurements, storage, and post-processing. In
this paper, we propose a mobile traffic super-resolution technique that
overcomes these problems by inferring narrowly localised traffic consumption
from coarse measurements. We draw inspiration from image processing and design
a deep-learning architecture tailored to mobile networking, which combines
Zipper Network (ZipNet) and Generative Adversarial neural Network (GAN) models.
This enables to uniquely capture spatio-temporal relations between traffic
volume snapshots routinely monitored over broad coverage areas
(`low-resolution') and the corresponding consumption at 0.05 km $^2$ level
(`high-resolution') usually obtained after intensive computation. Experiments
we conduct with a real-world data set demonstrate that the proposed
ZipNet(-GAN) infers traffic consumption with remarkable accuracy and up to
100$\times$ higher granularity as compared to standard probing, while
outperforming existing data interpolation techniques. To our knowledge, this is
the first time super-resolution concepts are applied to large-scale mobile
traffic analysis and our solution is the first to infer fine-grained urban
traffic patterns from coarse aggregates.

37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg