NOMA cellular Internet of Vehicles dynamic resource scheduling method based on energy efficiency

A technology of dynamic resources and scheduling methods, applied in network traffic/resource management, services based on specific environments, vehicle components, etc., can solve problems such as ignoring resource allocation, limiting the number of cellular users, network congestion, etc., to avoid network Effects of congestion, maximizing system energy efficiency, and ensuring queue stability

Active Publication Date: 2019-06-18
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] First of all, the previous research mainly considered the resource allocation problem of V2V communication under the OFDMA system, which limited the number of cellular users allowed to access the network.
In the NOMA cellular network scenario supporting V2V communication, a lot of work is focused on maximizing spectrum efficiency and throughput, without considering the resource allocation problem of maximizing system energy efficiency while ensuring V2V user delay and re

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  • NOMA cellular Internet of Vehicles dynamic resource scheduling method based on energy efficiency
  • NOMA cellular Internet of Vehicles dynamic resource scheduling method based on energy efficiency
  • NOMA cellular Internet of Vehicles dynamic resource scheduling method based on energy efficiency

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Embodiment Construction

[0039] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0040] see figure 1 as shown, figure 1 It is a vehicle communication scene diagram under the cellular network of vehicles in a dense urban area adopted by the present invention. In the example of the present invention, a transmission scenario including two communication modes of V2I downlink and V2V sidelink is considered. In the downlink V2I communication, the number of devices connected to the network is increased by introducing NOMA technology, and the V2V sidelink direct communication reduces the burden on the base station and has a low end-to-end transmission delay. Urban roads are in the shape of a Manhattan grid, and the distribution of vehicles follows a one-dimensional Poisson point distribution model The user's wireless channel model is composed of path loss, slow fading and fast fading formed by shadow fading. NOMA users ado...

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Abstract

The invention relates to a NOMA cellular Internet of Vehicles dynamic resource scheduling method based on energy efficiency, and belongs to the field of mobile communication. The method is: in the scenario of a NOMA cellular network supporting V2V communication, according to the reliability of the V2V user, the V2V user delay, the NOMA user rate requirement, and the power limit of the user as constraint conditions, adopting the goal of maximizing long-term average efficiency; creating a random optimization model in combination of subchannel distribution of NOMA users, spectrum distribution ofV2V users and subchannel adjusting strategies. According to the method, the system energy efficiency can be maximized on the premise of ensuring the system stability, and the requirements of V2V usertime delay, reliability and NOMA user rate can be met at the same time.

Description

technical field [0001] The invention belongs to the field of mobile communication, and relates to an energy efficiency-based NOMA cellular vehicle networking dynamic resource scheduling method. Background technique [0002] In recent years, intelligent transportation system (ITS) has been receiving widespread attention. Cellular vehicle-to-vehicle communication (C-V2X), as a mainstream technology of vehicle networking, uses existing cellular communication technology to realize vehicle-to-infrastructure communication (C-V2I) And vehicle-to-vehicle direct communication (C-V2V), not only improves traffic efficiency, but also has the potential to meet ultra-high reliability and low latency requirements such as future autonomous driving. [0003] In the communication of a large number of vehicles in dense urban areas, spectrum resources are very scarce. On the one hand, making full use of limited spectrum resources and designing effective resource optimization algorithms can impr...

Claims

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Application Information

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IPC IPC(8): H04W72/04H04W72/12H04W52/34H04W4/46H04W28/02
CPCY02T10/40
Inventor 唐伦肖娇魏延南马润琳周钰陈前斌
Owner CHONGQING UNIV OF POSTS & TELECOMM
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