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Computing efficiency optimization method in multi-carrier NOMA mobile edge computing system

An edge computing and computing efficiency technology, applied in the field of mobile communication, can solve the problems of system complexity and high decoding delay

Active Publication Date: 2020-12-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, if multiple users are multiplexed in one orthogonal resource block, the system complexity and decoding delay will become high

Method used

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  • Computing efficiency optimization method in multi-carrier NOMA mobile edge computing system
  • Computing efficiency optimization method in multi-carrier NOMA mobile edge computing system
  • Computing efficiency optimization method in multi-carrier NOMA mobile edge computing system

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings.

[0049] 1. System model

[0050] The system models involved in the computing efficiency optimization method in the multi-carrier NOMA mobile edge computing system of the present invention are as follows: figure 2 As shown, the system consists of K users and a wireless access node (AP) connected to the MEC server, in which all users have only one base station with a transmitting antenna and a single receiving antenna to establish a communication link, and it is assumed that the AP can obtain Full information status information and all user calculation information. The bandwidth W used by the above system is divided into N sub-channels that are orthogonal to each other, and the set of sub-channels is defined as Then the first The bandwidth used by each subchannel is W n ,satisfy And different sub-channels do not interfere with each other. Each subchannel is mode...

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Abstract

The invention discloses a computing efficiency optimization method in a multi-carrier NOMA mobile edge computing system. On the basis of a maximum and minimum fairness principle, computing resources of users, transmitting power and sub-channel scheduling of a system are jointly optimized to ensure fairness among the users, an effective calculation efficiency optimization algorithm based on a Big-Mmethod, penalty sequence convex programming and generalized fractional programming is provided, iteration can be started from any initial point and finally converges to a feasible suboptimal solution, and the system can achieve high calculation efficiency with polynomial time complexity.

Description

Technical field: [0001] The invention belongs to the field of mobile communication, and relates to a resource allocation method of a mobile communication system, in particular to a computing efficiency optimization method in a multi-carrier NOMA mobile edge computing system. Background technique: [0002] In the past decade, the rapid growth of mobile communication services has driven great progress in wireless communication and network technology, which has given birth to mobile cloud computing. However, users are usually far away from cloud data centers, which may lead to long data exchange times between them. Therefore, it is difficult for mobile cloud computing to meet the computing service demands of various real-time mobile applications. Compared with traditional mobile cloud computing, Mobile Edge Computing (MEC, Mobile Edge Computing), as an emerging technology, has broad application prospects in the Internet of Things. The core idea of ​​MEC is to disperse computi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02H04W28/02H04B17/382H04B17/391
CPCH04W24/02H04W28/0221H04B17/3911H04B17/382
Inventor 许方铖虞湘宾蔡嘉丽王光英党小宇朱秋明
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS