1,244 research outputs found
Joint Computation and Communication Cooperation for Mobile Edge Computing
This paper proposes a novel joint computation and communication cooperation
approach in mobile edge computing (MEC) systems, which enables user cooperation
in both computation and communication for improving the MEC performance. In
particular, we consider a basic three-node MEC system that consists of a user
node, a helper node, and an access point (AP) node attached with an MEC server.
We focus on the user's latency-constrained computation over a finite block, and
develop a four-slot protocol for implementing the joint computation and
communication cooperation. Under this setup, we jointly optimize the
computation and communication resource allocation at both the user and the
helper, so as to minimize their total energy consumption subject to the user's
computation latency constraint. We provide the optimal solution to this
problem. Numerical results show that the proposed joint cooperation approach
significantly improves the computation capacity and the energy efficiency at
the user and helper nodes, as compared to other benchmark schemes without such
a joint design.Comment: 8 pages, 4 figure
Bridging Transient and Steady-State Performance in Voltage Control: A Reinforcement Learning Approach with Safe Gradient Flow
Deep reinforcement learning approaches are becoming appealing for the design
of nonlinear controllers for voltage control problems, but the lack of
stability guarantees hinders their deployment in real-world scenarios. This
paper constructs a decentralized RL-based controller featuring two components:
a transient control policy and a steady-state performance optimizer. The
transient policy is parameterized as a neural network, and the steady-state
optimizer represents the gradient of the long-term operating cost function. The
two parts are synthesized through a safe gradient flow framework, which
prevents the violation of reactive power capacity constraints. We prove that if
the output of the transient controller is bounded and monotonically decreasing
with respect to its input, then the closed-loop system is asymptotically stable
and converges to the optimal steady-state solution. We demonstrate the
effectiveness of our method by conducting experiments with IEEE 13-bus and
123-bus distribution system test feeders.Comment: Published in IEEE Control Systems Letters, vol. 7, pp. 2845-2850,
2023 with CDC presentatio
Bis[3-chloro-6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinato]nickel(II) tetrahydrate
In the title complex, [Ni(C11H9ClN3O2)2]·4H2O, the Ni atom is coordinated by four N atoms and two O atoms derived from two tridentate 3-chloro-6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinate ligands. The cis-N4O2 donor set defines a distorted octahedral geometry. In the crystal structure, the complex and water molecules are linked by O—H⋯O hydrogen bonds
Bis[6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinato-κ2 N 1,O 2]cadmium(II) 1.75-hydrate
In the title complex, [Cd(C11H10N3O2)2]·1.75H2O, the Cd atom is coordinated by four N atoms and two O atoms from two tridentate 6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinate ligands in a distorted cis-N4O2 octahedral geometry. Three water molecules, with occupancies of 1.0, 0.5 and 0.25, complete the asymmetric unit. The components of the crystal structure are linked via hydrogen bonds, forming a three-dimensional network
[3-Chloro-6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinato](pyridine-2,6-dicarboxylato)nickel(II) dihydrate
In the title compound, [Ni(C11H9ClN3O2)(C7H3NO4)]·2H2O, the NiII atom is coordinated by two N atoms and one O atom of 3-chloro-6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinate and by one N atom and two O atoms of pyridine-2,6-dicarboxylate in a distorted octahedral coordination. In the crystal structure, molecules are linked together by intermolecular O—H⋯O hydrogen bonds. One water molecule is disordered over two positions; the site occupancies are ca 0.53 and 0.47
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