Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On Provisioning Cellular Networks for Distributed Inference   Wireless traffic attributable to machine learning (ML) inference workloads is
increasing with the proliferation of applications and smart wireless devices
leveraging ML inference. Owing to limited compute capabilities at these "edge"
devices, achieving high inference accuracy often requires coordination with a
remote compute node or "cloud" over the wireless cellular network. The accuracy
of this distributed inference is, thus, impacted by the communication rate and
reliability offered by the cellular network. In this paper, an analytical
framework is proposed to characterize inference accuracy as a function of
cellular network design. Using the developed framework, it is shown that
cellular network should be provisioned with a minimum density of access points
(APs) to guarantee a target inference accuracy, and the inference accuracy
achievable at asymptotically high AP density is limited by the air-interface
bandwidth. Furthermore, the minimum accuracy required of edge inference to
deliver a target inference accuracy is shown to be inversely proportional to
the density of APs and the bandwidth.

11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg