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Resource allocation method in LTE-R based on cognition

A resource allocation and resource block technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve problems such as huge computational load and dimensional disaster

Active Publication Date: 2018-11-23
SUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A complex set of state actions will lead to a huge amount of calculation and even the disaster of dimensionality

Method used

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  • Resource allocation method in LTE-R based on cognition
  • Resource allocation method in LTE-R based on cognition
  • Resource allocation method in LTE-R based on cognition

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Embodiment Construction

[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0025] A method for resource allocation in LTE-R based on cognition, comprising:

[0026] At the beginning of a cognitive time slot duration Tr, the unlicensed user initiates a handover request to the cognitive base station;

[0027] The cognitive base station collects information on the performance of all resource blocks after receiving the handover request;

[0028] The cognitive base station perceives the behavior of the authorized user on the resource block after collecting the information, executes the decision-making phase, and judges whether the current resource block where the unauthorized...

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Abstract

The invention relates to a resource allocation algorithm in LTE-R based on recognition. The algorithm comprises the following steps: step one, providing a novel multi-purpose state action set form a dual-target optimization problem of throughput and resource block switching frequency in the LTE-R; step two, providing an exploratory method for a second exploration and utilization balance problem, wherein the performance of the cognitive base station for balancing the exploration and the utilization is better in the process of comparing with a greedy decision method, thereby proving the necessity of environment exploration in the LTE-R cognitive wireless network; and step three, introducing the specific application scene of the embodiment of the invention, discovering that two values in thealgorithm of the invention have respective emphasis on influencing different optimization targets, finding a group of appropriate values, thereby enabling the performance of the system to be more excellent in comparison with other values. Furthermore, the application scene further proves the effectiveness of performing spectrum management in the base station of the LTE-R environment.

Description

technical field [0001] The present invention relates to LTE-R, in particular to a cognitive-based resource allocation method in LTE-R. Background technique [0002] The high-speed railway environment places extremely high requirements on the mobile communication system. It not only needs to ensure the transmission of scheduling information and train control information during the operation of the original high-speed train, but also needs to provide online operation monitoring, online maintenance detection, and online video return for the train. And provide high-quality communication services for passengers. The traditional GSM-R frequency bandwidth is limited, and problems such as switching confusion, low connection rate, and communication interruption inevitably occur during high-speed processing. As the evolution target of GSM-R, LTE-R has become a research hotspot in the current railway communication system due to its advantages such as high transmission rate, large syst...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/04H04W72/12H04B17/382H04B17/391
CPCH04B17/382H04B17/391H04W72/0446H04W72/52
Inventor 吴澄盛洁汪一鸣尹之杰尤扬
Owner SUZHOU UNIV
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