Method and system for joint optimization of bandwidth power of wireless user tasks based on MEC

By configuring mobile edge servers in small cells and macro cells, user tasks are computed in the small cell portion and forwarded to the macro cell portion. By adopting a joint optimization method of bandwidth and power, the problem of heavy user task latency is solved, and the optimal allocation of tasks, power and bandwidth is achieved, thereby reducing the average processing latency.

CN115278784BActive Publication Date: 2025-11-07NANJING UNIV OF POSTS & TELECOMM
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Patent Information

Application Number
CN202210883630.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-07-26
Publication Date
2025-11-07
Estimated Expiration
2042-07-26

AI Technical Summary

Technical Problem

In mobile edge computing, when a user has a heavy workload and is far from the small base station, it is impossible to effectively offload the task, which increases the average processing latency of all user tasks.

Method used

By configuring mobile edge servers in small base stations and macro base stations, users offload tasks to small base stations and partially remain in small base stations for computation, while the remaining tasks are forwarded to macro base stations for computation. By using a joint optimization method of bandwidth and power, the average processing latency of all user tasks is minimized.

Benefits of technology

It effectively reduced the average processing latency of all user tasks and achieved optimal allocation of tasks, power, and bandwidth.

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Abstract

The application discloses a wireless user task bandwidth power joint optimization method and system based on mobile edge computing (MEC), aiming at reducing the average processing delay of multi-user tasks. Users unload all tasks to small base stations (SBS), part of the tasks are calculated in the small base station, and the remaining tasks are forwarded by the small base station to the macro base station (MBS) for calculation. Considering that the total amount of wireless resources such as transmission bandwidth and power of different user tasks is limited, the application constructs a minimization problem of the average processing delay of all user tasks, proposes a joint allocation method of user transmission bandwidth, task proportion of different users forwarded by the small base station, and bandwidth power, and designs an iterative optimization algorithm of user tasks, bandwidth and power based on alternating optimization. Compared with the equal allocation of tasks, bandwidth and power, the proposed user task bandwidth power joint optimization method reduces the average processing delay of all user tasks.
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Citation Information

Patent Citations

  • C and system thereof

    CN113676982A