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Task-Oriented Delay-Aware Multi-Tier Computing in Cell-Free Massive MIMO Systems

delete2023-07-01
delete11
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OA
AI
王
王昆仑 (Kunlun Wang) *
D
Dusit Niyato
陈伟 封面图
陈伟 (Wen Chen)
A
Arumugam Nallanathan
DOI:10.1109/JSAC.2023.3280965delete
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摘要

摘要

En 中文
Multi-tier computing can enhance the task computation by multi-tier computing nodes. In this paper, we propose a cell-free massive multiple-input multiple-output (MIMO) aided computing system by deploying multi-tier computing nodes to improve the computation performance. At first, we investigate the computational latency and the total energy consumption for task computation, regarded as total cost. Then, we formulate a total cost minimization problem to design the bandwidth allocation and task allocation, while considering realistic heterogenous delay requirements of the computational tasks. Due to the binary task allocation variable, the formulated optimization problem is non-convex. Therefore, we solve the bandwidth allocation and task allocation problem by decoupling the original optimization problem into bandwidth allocation and task allocation subproblems. As the bandwidth allocation problem is a convex optimization problem, we first determine the bandwidth allocation for given task allocation strategy, followed by conceiving the traditional convex optimization strategy to obtain the bandwidth allocation solution. Based on the asymptotic property of received signal-to-interference-plus-noise ratio (SINR) under the cell-free massive MIMO setting and bandwidth allocation solution, we formulate a dual problem to solve the task allocation subproblem by relaxing the binary constraint with Lagrange partial relaxation for heterogenous task delay requirements. At last, simulation results are provided to demonstrate that our proposed task offloading scheme performs better than the benchmark schemes, where the minimum-cost optimal offloading strategy for heterogeneous delay requirements of the computational tasks may be controlled by the asymptotic property of the received SINR in our proposed cell-free massive MIMO-aided multi-tier computing systems.
Keyword:
Multi-tier computing systems
cell-free massive MIMO systems
energy and delay tradeoff
delay requirements
task offloading

期刊

IEEE Journal on Selected Areas in Communications 封面图
IEEE Journal on Selected Areas in Communications
IF:
17.2
论文数:
6.4K
被引数:
3.1W

机构

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nanyang technological university
学者数:
1.4K
论文数: 703
被引数: 0
S
Shanghai Jiao Tong University
学者数:
7.3K
论文数: 2.1K
被引数: 0
U
University of London
学者数:
1.5K
论文数: 658
被引数: 0
E
East China Normal University
学者数:
1.4K
论文数: 490
被引数: 0
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