Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Joint Task Assignment and Resource Allocation for D2D-Enabled
  Mobile-Edge Computing   With the proliferation of computation-extensive and latency-critical
applications in the 5G and beyond networks, mobile-edge computing (MEC) or fog
computing, which provides cloud-like computation and/or storage capabilities at
the network edge, is envisioned to reduce computation latency as well as to
conserve energy for wireless devices (WDs). This paper studies a novel
device-to-device (D2D)-enabled multi-helper MEC system, in which a local user
solicits its nearby WDs serving as helpers for cooperative computation. We
assume a time division multiple access (TDMA) transmission protocol, under
which the local user offloads the tasks to multiple helpers and downloads the
results from them over orthogonal pre-scheduled time slots. Under this setup,
we minimize the computation latency by optimizing the local user's task
assignment jointly with the time and rate for task offloading and results
downloading, as well as the computation frequency for task execution, subject
to individual energy and computation capacity constraints at the local user and
the helpers. However, the formulated problem is a mixed-integer non-linear
program (MINLP) that is difficult to solve. To tackle this challenge, we
propose an efficient algorithm by first relaxing the original problem into a
convex one, and then constructing a suboptimal task assignment solution based
on the obtained optimal one. Next, we consider a benchmark scheme that endows
the WDs with their maximum computation capacities. To further reduce the
implementation complexity, we also develop a heuristic scheme based on the
greedy task assignment. Finally, numerical results validate the effectiveness
of our proposed algorithm, as compared against the heuristic scheme and other
benchmark ones without either joint optimization of radio and computation
resources or task assignment design.

21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
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The categories of this paper are: alg-geom
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The categories of this paper are: funct-an
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The categories of this paper are: quant-ph
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The categories of this paper are: q-fin
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The categories of this paper are: cmp-lg
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The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int