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A resource optimization method in Internet of Vehicles network based on non-orthogonal multiple access

A non-orthogonal multiple access and resource optimization technology, which is applied in the field of resource optimization in the Internet of Vehicles network based on non-orthogonal multiple access, can solve the problem of difficulty in obtaining system performance, dynamic optimization of data flow without considering the dynamic characteristics of data and cache queues, Rarely consider and solve issues such as computing offloading and cache energy consumption together to achieve the effect of simplifying processing analysis and minimizing energy consumption

Active Publication Date: 2022-04-05
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] At present, the relevant literature has done a lot of research work on computing offloading and content caching, but rarely consider and solve the energy consumption of computing offloading and caching
In addition, in real communication systems, the mobile traffic generated by vehicles usually arrives randomly and dynamically, and the above work mainly performs calculation offloading and content caching in a static network, without considering the dynamic characteristics of data and cache queues and dynamically optimizing data traffic.
Therefore, unpredictability can make it difficult to obtain system performance related to literature

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[0068] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0069] The present invention proposes a resource optimization method in a vehicle network based on non-orthogonal multiple access. In the dynamic network based on NOMA, when the vehicle task is processed in the vehicle edge computing system assisted by NOMA, the vehicle edge computing system Based on the principle of minimizing the total energy consumption, determine the offloading and caching decisions of the system, and the allocation of computing and caching...

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Abstract

The present invention relates to the field of resource optimization in the Internet of Vehicles network, in particular to a resource optimization method for the Internet of Vehicles network based on non-orthogonal multiple access technology. When processing vehicle tasks in the vehicle edge computing system assisted by NOMA, the vehicle edge computing The principle of minimizing the total energy consumption of the system is to determine the system's unloading and caching decisions, and the allocation of computing and caching resources, that is, considering the random traffic arrival of vehicle users and queue stability, computing unloading decisions and content caching decisions through joint optimization, and The allocation of computing and cache resources is defined as a stochastic optimization problem; using Lyapunov optimization theory, a dynamic joint computing offloading, content caching, and resource allocation algorithm is proposed to solve this problem, and it is decoupled into two independent sub-problems. Using 0-1 integer programming and linear programming to solve two sub-problems; the invention can effectively handle computing resources of mobile edge computing servers and reduce system energy consumption.

Description

technical field [0001] The invention relates to the field of resource optimization in the Internet of Vehicles network, in particular to a resource optimization method in the Internet of Vehicles network based on non-orthogonal multiple access. Background technique [0002] With the rapid development of the Internet of Things and the increasing popularity of computing-intensive mobile applications, existing mobile user equipment cannot meet the corresponding challenges in terms of application processing or energy supply. At the same time, driven by mobile video, online social media, etc., big data traffic is increasing exponentially, making mobile networks face computational constraints. Although the wireless spectrum has been fully utilized by, for example, ultra-dense networks, the backhaul may become a new bottleneck, unable to bear the huge business traffic. Future wireless networks are expected to support a host of computationally intensive and latency-sensitive applic...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/44H04W28/08H04W72/04H04L67/1001H04L41/0833G06F17/11
CPCH04W4/44H04W28/08H04L41/0833G06F17/11H04L67/1001H04W72/53H04W72/52Y02D30/70
Inventor 刘开健任俊平张海波陶小方
Owner CHONGQING UNIV OF POSTS & TELECOMM
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