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Latency-Aware Offloading for Mobile Edge Computing Networks
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DOI：10.1109/LCOMM.2021.3074621.png)
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Abstract
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To minimize the average latency of users to complete tasks, this letter jointly optimizes offloading decision, computation and bandwidth resource allocation for Mobile Edge Computing (MEC) networks via partial offloading. Since the considered problem is strongly non-convex with coupled variables, we decompose the original problem into two subproblems: (1) offloading decision; (2) communication bandwidth and computation resources allocation, and further employ Block Coordinate Descent (BCD) method to tackle them sequentially with linear computation complexity. Simulation results demonstrate that the proposed algorithm can achieve better performance on the average latency, and converge speedily.
Keywords:
Resource management
Bandwidth
Task analysis
Servers
Optimization
Computational complexity
Channel allocation
MEC
latency
offloading decision
resource allocation
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