CN-121985427-A - Multi-user resource management method and system in wireless communication system

CN121985427ACN 121985427 ACN121985427 ACN 121985427ACN-121985427-A

Abstract

The application provides a multi-user resource management method and system in a wireless communication system. The method comprises the steps of generating dynamic energy consumption characteristics based on equipment state information and real-time power consumption information of the Internet of things equipment, determining resource demand combinations by combining the dynamic energy consumption characteristics and service data characteristics of service data to be transmitted, performing channel detection on an uplink of the Internet of things equipment to obtain uplink channel conditions, generating a resource allocation strategy according to the resource demand combinations and the uplink channel conditions, and dynamically allocating transmission resource units for the Internet of things equipment based on the resource allocation strategy. The technical scheme provided by the application not only improves the accuracy, energy efficiency and overall adaptability of system resource allocation, but also ensures the coordination and high efficiency of multi-user service transmission.

Inventors

BAI YUNHE
PANG YUFEI
Xiao Hanlong
PANG SHIWU
QU QINGFENG
HU PING
YU CHUNYAN

Assignees

北京飞成科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260130

Claims (10)

1. A method for multiuser resource management in a wireless communication system, comprising: acquiring equipment state information, real-time power consumption information and service data characteristics of service data to be transmitted of the Internet of things equipment; Generating a dynamic energy consumption feature based on the device status information and the real-time power consumption information; combining the dynamic energy consumption characteristic and the service data characteristic to determine a resource demand combination; Performing channel detection on an uplink of the Internet of things equipment to obtain an uplink channel condition; generating a resource allocation strategy according to the resource demand combination and the uplink channel condition; and dynamically distributing transmission resource units for the Internet of things equipment based on the resource distribution strategy.
2. The method of claim 1, wherein obtaining device state information, real-time power consumption information, and service data characteristics of service data to be transmitted for the internet of things device comprises: Receiving and analyzing a status report periodically sent by equipment of the Internet of things, and extracting equipment operation information from the status report; based on the equipment operation information, identifying the working state and state switching event of the equipment of the Internet of things to obtain equipment state information; receiving and processing power consumption waveform data continuously reported from Internet of things equipment, and analyzing the power consumption waveform data to obtain real-time power consumption information; identifying the type and the structure description of the service data to be transmitted in a service queue to be transmitted, which is reported from the internet-of-things equipment; and determining the service data characteristics by combining the type and the structure description.
3. The method of claim 1, wherein generating dynamic energy consumption features based on the device status information and the real-time power consumption information comprises: Identifying a state switching event of the Internet of things equipment from the equipment state information; Acquiring a power consumption data segment associated with the occurrence time of the state switching event from the real-time power consumption information; Determining power consumption behaviors in different operation states according to the state switching event and the power consumption data segment; based on the power consumption behavior, a dynamic power consumption feature is generated.
4. The method of claim 1, wherein determining a resource requirement combination in combination with the dynamic energy consumption feature and the business data feature comprises: analyzing the dynamic energy consumption characteristics and the service data characteristics to obtain power consumption behaviors of the Internet of things equipment in various running states and service transmission requirements of service data to be transmitted; Performing association operation on the power consumption behavior and the service transmission requirement to obtain an association operation result; forming individual resource requirements of the Internet of things equipment based on the association operation result; Summarizing the individual resource demands, and evaluating the matching relation between the individual resource demands to obtain a resource demand combination.
5. The method of claim 1, wherein performing channel sounding on an uplink of the internet of things device to obtain an uplink channel condition comprises: Sending an instruction to the Internet of things equipment, and triggering the Internet of things equipment to send a preset detection signal on an uplink; receiving and measuring the detection signal to obtain a measurement sample; calculating an average signal quality parameter of an uplink based on the measurement samples; Analyzing and identifying a signal strength variation pattern of an uplink using the measurement samples; and combining the average signal quality parameter with the signal strength variation pattern to form an uplink channel condition.
6. The method of claim 1, wherein generating a resource allocation policy based on the combination of resource requirements and the uplink channel conditions comprises: Analyzing the resource demand combination to obtain resource demand entries corresponding to a plurality of internet of things devices, wherein the resource demand entries contain urgency information representing transmission urgency; Acquiring channel quality information of a plurality of corresponding Internet of things devices contained in the uplink channel condition; Matching the channel quality information with the resource demand items to form a preliminary matching relationship; Sorting the preliminary matching relationship according to the urgency information to generate a resource allocation sorting list; determining a set of transmission resource blocks based on the ordered list of resource allocations; Binding the transmission resource block set with the Internet of things equipment in the resource allocation sequencing list to generate a resource allocation strategy.
7. The method of claim 1, wherein dynamically allocating transmission resource units for the internet of things device based on the resource allocation policy comprises: Analyzing the binding relation between the Internet of things equipment and the transmission resource block from the resource allocation strategy; determining an allocation time window of the transmission resource block according to the binding relation and a preset allocation period; Generating a corresponding resource allocation instruction for each Internet of things device based on the allocation time window and the binding relation; and when the allocation time window arrives, sending the resource allocation instruction to the corresponding internet of things equipment so as to finish dynamic allocation of the transmission resource units.
8. A multi-user resource management system in a wireless communication system, comprising: The acquisition module is used for acquiring equipment state information, real-time power consumption information and service data characteristics of service data to be transmitted of the Internet of things equipment; a first generation module for generating a dynamic energy consumption feature based on the device status information and the real-time power consumption information; the determining module is used for combining the dynamic energy consumption characteristics and the business data characteristics to determine a resource demand combination; The execution module is used for executing channel detection on the uplink of the Internet of things equipment to obtain an uplink channel condition; The second generation module is used for generating a resource allocation strategy according to the resource demand combination and the uplink channel condition; And the allocation module is used for dynamically allocating transmission resource units for the Internet of things equipment based on the resource allocation strategy.
9. A computing device, comprising a processing component and a storage component, wherein the storage component stores one or more computer instructions for execution by the processing component, the one or more computer instructions implementing a method of multiuser resource management in a wireless communication system according to any of claims 1-7.
10. A computer storage medium storing a computer program which, when executed by a computer, implements a method for multiuser resource management in a wireless communication system according to any of claims 1-7.

Description

Multi-user resource management method and system in wireless communication system Technical Field The present application relates to the field of radio resource management, and in particular, to a method and a system for managing multi-user resources in a wireless communication system. Background In the scenes of industrial Internet of things and the like, a large number of devices show the characteristics of burst service, changeable state and sensitivity to power consumption, and in operation, the service data of the devices are closely related to the operation state and real-time energy consumption of the devices, and differential requirements are provided for timeliness and reliability of uplink transmission. The prior art scheme is based on a resource allocation method of service priority and instantaneous channel quality, firstly, the priority levels of service data of different Internet of things are identified, meanwhile, the uplink channel quality of each device is measured, and then, a system allocates transmission resources for high-priority service or devices with better channel conditions preferentially, so that service urgency and transmission reliability are considered to a certain extent. However, the scheme has inherent defects that the decision process mainly depends on isolated service tags and channel state information, and a real-time power consumption mode reflecting the operation essence of equipment and equipment state transition are not incorporated into a decision system, so that the system cannot sense the internal association between the energy consumption constraint and service emission behavior of the equipment in a specific working state, and therefore mismatching resources can be allocated to the equipment in a high-energy consumption state, or potential transmission opportunities in a low-power consumption state are ignored, and finally the problems of low overall energy efficiency and insufficient resource utilization are caused. Disclosure of Invention The application provides a multi-user resource management method and a multi-user resource management system in a wireless communication system, which are used for solving the problems of low system energy efficiency and non-optimal resource utilization caused by the fact that the internal association among a real-time energy consumption mode, state transition and service requirements of equipment is not cooperatively considered in the resource allocation decision in the prior art. In a first aspect, the present application provides a method for managing multi-user resources in a wireless communication system, including: acquiring equipment state information, real-time power consumption information and service data characteristics of service data to be transmitted of the Internet of things equipment; Generating a dynamic energy consumption feature based on the device status information and the real-time power consumption information; combining the dynamic energy consumption characteristic and the service data characteristic to determine a resource demand combination; Performing channel detection on an uplink of the Internet of things equipment to obtain an uplink channel condition; generating a resource allocation strategy according to the resource demand combination and the uplink channel condition; and dynamically distributing transmission resource units for the Internet of things equipment based on the resource distribution strategy. Optionally, acquiring device status information, real-time power consumption information, and service data characteristics of the service data to be transmitted of the internet of things device includes: Receiving and analyzing a status report periodically sent by equipment of the Internet of things, and extracting equipment operation information from the status report; based on the equipment operation information, identifying the working state and state switching event of the equipment of the Internet of things to obtain equipment state information; receiving and processing power consumption waveform data continuously reported from Internet of things equipment, and analyzing the power consumption waveform data to obtain real-time power consumption information; identifying the type and the structure description of the service data to be transmitted in a service queue to be transmitted, which is reported from the internet-of-things equipment; and determining the service data characteristics by combining the type and the structure description. Optionally, generating a dynamic energy consumption feature based on the device status information and the real-time power consumption information includes: Identifying a state switching event of the Internet of things equipment from the equipment state information; Acquiring a power consumption data segment associated with the occurrence time of the state switching event from the real-time power consumption information; Determining power consumption beha