CN107949011A - A kind of adaptive perception window regulation method - Google Patents

A kind of adaptive perception window regulation method Download PDF

Info

Publication number
CN107949011A
CN107949011A CN201711255396.4A CN201711255396A CN107949011A CN 107949011 A CN107949011 A CN 107949011A CN 201711255396 A CN201711255396 A CN 201711255396A CN 107949011 A CN107949011 A CN 107949011A
Authority
CN
China
Prior art keywords
node
window
condition information
channel condition
channel
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711255396.4A
Other languages
Chinese (zh)
Inventor
石春
沈重
邓正杰
张仙锋
何书前
冯建平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201711255396.4A priority Critical patent/CN107949011A/en
Publication of CN107949011A publication Critical patent/CN107949011A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621Feedback content
    • H04B7/0626Channel coefficients, e.g. channel state information [CSI]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/0446Resources in time domain, e.g. slots or frames

Abstract

Keep out of the way window difference to solve the competition of different priority levels node, cause channel condition information to have differences, the present invention proposes a kind of adaptive perception window regulation method.Node is perceiving completion channel condition information monitoring function in window.Using window is perceived, node mainly completes channel condition information monitoring and process of calculation analysis, contains channel condition information statistics and calculates, network basic parameter is predicted and perceived window and adaptively dynamically adjusts three processes.Window is perceived by setting independent channel condition information to monitor so that different priority levels node can obtain identical channel condition information.The beneficial effect of technical solution of the present invention is 1):Propose and perceive the adaptive dynamic regulation rule of window;2):Channel condition information perceives acquisition process independently of node type and channel access process.Present invention is adapted to different network environments, and the node of effective guarantee priority weights grade can obtain identical channel condition information.

Description

A kind of adaptive perception window regulation method
Technical field
The present invention relates to wireless communication data link-layer technologies field, is a kind of nothing for supporting handling capacity priority weights grade Line channel state information measurement, suitable for network environment of the non-stop layer based on contention access channel.
Background technology
In existing wireless communication protocol prioritization scheme, all channel condition information is monitored, and according to acquisition Network basic parameter data carry out the adjustment of corresponding access parameter.
In general, node selects backoff slot counts device in the range of competition window, the mistake then successively decreased in backoff counter The monitoring of channel condition information is carried out in journey.In homogeneous network environments, due to the access parameter of node be it is consistent, All nodes can preferably obtain identical channel condition information data.Supporting the network environment of handling capacity priority weights grade In, the access parameter of different type node is different, and backoff slot counts device value range is different.Therefore, passed in backoff counter Channel condition information monitoring is carried out during subtracting, the time range of different type node monitoring channel is different, and node can perceive Channel condition information it is incomplete.
In prioritization scheme, channel condition information monitoring is carried out using fixed and bigger size window, and will monitoring Data as current network basic parameter.This mode is not previously predicted network basic parameter, directly using monitoring numerical value as ginseng Number uses, and parameter fluctuation amplitude can be caused big;By the way of fixed window size, it is only suitable for the network environment of specific scale, The small scale network update cycle is grown, and large scale network performance is undesirable, and scalability is poor.
In handling capacity priority weights hierarchical network, the channel access parameter that different types of node uses has differences, Backoff period size is different.Channel condition information monitoring, different type section are carried out in backoff period decrementing procedure The time of point observation channel is different, and the channel condition information monitored also can be different.Node is according to respective channel Status information adjusts channel access parameter, and it will cause error.Moreover, the error is not repairable, based on inaccurate letter Channel state information data, even if being optimized using related algorithm to channel condition information data, effect is still undesirable.When adopting With fixed and larger-size window monitoring channel condition information, it is impossible to the scalability got well.
For the network for supporting handling capacity priority weights grade, method proposed by the present invention proposes and perfect perceived window Mouthful adaptive Adjusted Option, by being separately provided channel condition information perceptional function, independent node channel access procedure and letter Channel state information perception, obtains precisely consistent channel condition information for different type node and provides a kind of feasible side Case.
The content of the invention
In the network for supporting handling capacity priority weights grade QoS demand, the present invention provides a kind of the adaptive of perception window Method of adjustment is answered, has been separately provided channel condition information monitoring function.Based on wireless communications environment, perceiving in window, node Complete channel monitoring and obtain the functions such as channel condition information, mainly cover three kinds of functions:The monitoring calculation of channel condition information, Network basic parameter is predicted and is perceived window and adaptively dynamically adjusts.
The technical solution adopted by the present invention is, a kind of to support the adaptive of priority weights grade to perceive window regulation method. This method can effectively carry out radio channel status information measurement so that different type node can obtain identical channel status letter Cease data.Perceiving in window, node mainly runs three kinds of functions, specific as follows:
1)Statistical function.Window size is perceived based on current, node progressively successively decreases according to free timeslot perceives window value.Herein During, the data transfer activities in node monitoring channel, Successful transmissions event number and collision accident quantity in statistical channel;
2)Analyze forecast function.According to the data obtained in statistical function, the information of successfully transmission frame is analyzed, is obtained in network Active node number and each active node send the number information of data frame.Current channel condition information is calculated, with Preferred channels status information compares, and with reference to currently used network activity number of nodes information, predicts the active section points in network Amount;
3)Parameter adjustment function.Active node quantity in the network predicted according to node, adjustment perceive the size of window.Then turn Enter step 1)Statistical function.The active node quantity predicted can be directly used in the adjustment of competition window according to data transmission scenarios In rule.
The features of the present invention and beneficial effect
In the present invention, the scope of application for perceiving window and function definition are given.It is competition-based to handle up in centerless insertion point Measure under priority weights hierarchical network environment, set perception window to carry out special disposal channel condition information.So that the channel prison of node Survey process transmitted independently of data in channel access process, meanwhile, the type of node is monitored and obtained for channel condition information Take and also do not associate, so that all nodes can obtain identical channel condition information data.
The present invention can effectively solve the problems, such as that different type node acquisition channel condition information is different, be all kinds section The Adjusted Option of the channel access parameter of point provides accurate channel condition information.
Brief description of the drawings
Fig. 1 channel state information measurement flow charts.
Fig. 2 channel condition information perception stage functional diagrams.
Embodiment
Present invention is generally directed to network environment it is as follows:Each node only produces a kind of data type in network.Inhomogeneity Type node has the different grades of service, i.e. handling capacity priority weights grade.In present embodiment, with three kinds of different handling capacity power Weight priority level carries out patent content elaboration, is respectively the high node of Throughput Class(NodeH), the medium section of Throughput Class Point(NodeM)The node low with Throughput Class(NodeL).Priority level and low precedence section in high precedence node ratio Point takes more channel resources.Using data transmission event(Data transfer collision accident or data sending success events)It Between the metric parameter of average free timeslot interval as channel condition information.
Channel condition information computational methods are not limited to the quantity of the grade of service in the present invention.
Set high grade of service SH(Handling capacity priority level is high), middle grade of service SM(In handling capacity priority level)With it is low Grade of service SL(Throughput Class is low)Proportionate relationship it is as follows:
SH:SM:SLH: βM: βL
As shown in above formula, in a transmission cycle, if data frame length is equal, work as NodeLA data are have sent, NodeHβ is then carried outHLThe transmission of secondary data, NodeMThen need to carry out βMLThe transmission of secondary data.
Node carries out access parameter adjustment using linear method(That is, CW parameter adjustments)
CWi≈θi·(N-1) (i∈(H, M, L))。
The handling capacity priority weights grade of node is set in the present invention to be identified by node address information.This hair In bright, node monitors and have received the data frame of Successful transmissions in channel, parses received data frame information, obtains corresponding Source node address is sent, the handling capacity priority weights grade of sending node is may determine that according to address information.If sent out in channel Collision has been given birth to, then has only needed statistics collision accident number.Decision node Throughput Class information does not constrain the use model of the present invention Enclose.
Based on formula(SH:SM:SLH: βM: βL)Setting, the present invention devise a kind of adaptive perception window tune Adjusting method, it is characterised in that:This programme comprises the following steps:
The first step, statistical function.In the time slot decrementing procedure for perceiving window, the data of other nodes pass in node monitoring channel Defeated activity.In detecting period scope EDInterior, by receiving the data transmission scenarios of other nodes in channel, node judges the number of channel According to transmission state information.If sending collision in channel, statistics collision accident number EC.If number is successfully completed in channel According to transmission, then from data frame, transmission source node address information is extracted, i-th of node of statistics successfully carries out data transmission total Number ESi, and in EDReceived total successful data the number of transmissions E is inscribedS
Second step, analyzes forecast function.Channel status is analyzed.When channel condition information perception terminates, node carries out channel Status information analysis calculates.Node calculates event twice according to data transmission event information in the channel obtained in the first step Between average free slot time quantity:
In above-mentioned calculating process, the data transmission event in channel is not monitored when node, then is believed without channel status Breath calculates, using the parameter currently set.Number of nodes is predicted.Be calculated present channel average free slot time number it Afterwards, number of nodes prediction is carried out using increasing amount adjustment mode:
NnewRepresent active node quantity in the network of prediction.NoldRepresent that active section is counted in present node network currently in use Amount.noptOptimal free timeslot interval numerical value in the channel that expression can precalculate.When active node in the network of prediction Numerical value of NnewLess than actual measurement number of nodes m, N is madenew=m;
3rd step, parameter adjustment.Node predicts active node numerical value of N in obtained network according to analysisnew, adjustment perception window Numerical value:
DW=CWLL·(Nnew-1)
Window value will be perceived and be arranged to identical with the competition window of lowest priority node, compared with other rating-types Compared with node can be caused to possess bigger perception window.
Above embodiment gives more specific feasible using and perceives window progress channel condition information monitoring Acquisition methods, the competition window Adjusted Option that the inside includes, node type determination methods, channel state parameter, number of nodes increase The not restricted application methods of the invention such as amount adjustment prediction mode.
The foregoing is merely the present invention than more typical embodiment, embodiments of the present invention and protection are not thereby limited Scope, to those skilled in the art, should can appreciate that all with made by description of the invention and diagramatic content Equivalent substitution and obviously change obtained scheme, should be included in protection scope of the present invention.

Claims (1)

  1. A kind of 1. adaptive perception window regulation method, it is characterised in that including:
    A kind of adaptive perception window regulation method for supporting priority weights grade is provided, covers three kinds of functions:Channel status is believed Monitoring and statistics function, network basic parameter analysis forecast function and the perception window parameter adaptive dynamic adjustment function of breath; Perceive in window, node completes channel information collection calculating, the prediction of network basic parameter and the function of perceiving window parameter adjustment;
    It is specific as follows:
    The first step:Statistical function;Window size is perceived based on current, node progressively successively decreases according to free timeslot perceives window number Value;
    In the process, the data transfer activities in node monitoring channel, Successful transmissions event number and collision in statistical channel Event number;
    Second step:Analyze forecast function;According to the data obtained in statistical function, the information of successfully transmission frame is analyzed, obtains net Active node number and each active node in network send the number information of data frame;Current channel condition letter is calculated Breath, compared with preferred channels status information, with reference to currently used network activity number of nodes information, predicts the active section in network Point quantity;
    3rd step:Parameter adjustment function;Active node quantity in the network predicted according to node, adjustment perceive the size of window; Then it is transferred to 1)The step of statistical function.
CN201711255396.4A 2017-12-03 2017-12-03 A kind of adaptive perception window regulation method Pending CN107949011A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711255396.4A CN107949011A (en) 2017-12-03 2017-12-03 A kind of adaptive perception window regulation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711255396.4A CN107949011A (en) 2017-12-03 2017-12-03 A kind of adaptive perception window regulation method

Publications (1)

Publication Number Publication Date
CN107949011A true CN107949011A (en) 2018-04-20

Family

ID=61948363

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711255396.4A Pending CN107949011A (en) 2017-12-03 2017-12-03 A kind of adaptive perception window regulation method

Country Status (1)

Country Link
CN (1) CN107949011A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109309927A (en) * 2018-12-22 2019-02-05 石春 Radio channel information perceives window and method of adjustment
CN111294942A (en) * 2019-03-29 2020-06-16 展讯半导体(南京)有限公司 Method and device for determining and sending sensing window length, storage medium, terminal and base station

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140269759A1 (en) * 2013-03-12 2014-09-18 Cisco Technology, Inc. Schedule-based prioritization in contention-based shared-media computer networks
CN105376862A (en) * 2014-08-28 2016-03-02 上海贝尔股份有限公司 Adjustable contention window-based method and device for transmitting data through permission-free channel
CN105592564A (en) * 2015-08-12 2016-05-18 中山大学 Self-adaptive access mechanism based on active node estimation in wireless Mesh network
CN105611570A (en) * 2015-12-20 2016-05-25 华南理工大学 Vehicle ad hoc network MAC layer back-off method based on channel state judgment
CN105792253A (en) * 2016-02-25 2016-07-20 安徽农业大学 Media access control optimization method of wireless sensor network
CN106788823A (en) * 2017-03-16 2017-05-31 石春 A kind of radio channel status information measuring method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140269759A1 (en) * 2013-03-12 2014-09-18 Cisco Technology, Inc. Schedule-based prioritization in contention-based shared-media computer networks
CN105376862A (en) * 2014-08-28 2016-03-02 上海贝尔股份有限公司 Adjustable contention window-based method and device for transmitting data through permission-free channel
CN105592564A (en) * 2015-08-12 2016-05-18 中山大学 Self-adaptive access mechanism based on active node estimation in wireless Mesh network
CN105611570A (en) * 2015-12-20 2016-05-25 华南理工大学 Vehicle ad hoc network MAC layer back-off method based on channel state judgment
CN105792253A (en) * 2016-02-25 2016-07-20 安徽农业大学 Media access control optimization method of wireless sensor network
CN106788823A (en) * 2017-03-16 2017-05-31 石春 A kind of radio channel status information measuring method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
石春等: "支持优先等级的分布式自适应接入方案", 《计算机工程与设计》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109309927A (en) * 2018-12-22 2019-02-05 石春 Radio channel information perceives window and method of adjustment
CN111294942A (en) * 2019-03-29 2020-06-16 展讯半导体(南京)有限公司 Method and device for determining and sending sensing window length, storage medium, terminal and base station

Similar Documents

Publication Publication Date Title
CN109845310B (en) Method and unit for radio resource management using reinforcement learning
US8995388B2 (en) Systems and methods for uplink resource allocation
RU2448438C2 (en) Flexible channel quality indicator reporting
EP2554000B1 (en) Method and network entity for resource allocation in mobile radio communication networks
KR100920387B1 (en) Apparatus and method for allocating radio resource in adaptive antenna system
CN103731173A (en) Transceiver operating in wireless communication network, network transmission system and method
CN101433032A (en) Quality guarantee for real-time applications over shared networks
EP1938638B1 (en) A method and apparatus for allocation of radio resources
EP2870712B1 (en) Method and access point for assigning sounding resources
Xu et al. Augmenting drive-thru Internet via reinforcement learning-based rate adaptation
CN107949011A (en) A kind of adaptive perception window regulation method
US20110007702A1 (en) Channel selection in an ad hoc wireless network
Çakır et al. Dtwn: Q-learning-based transmit power control for digital twin wifi networks
KR20000010975A (en) Channel hopping in a radio communications system
Liu et al. Fronthaul-aware software-defined joint resource allocation and user scheduling for 5G networks
US9226162B2 (en) Spectrum division method, device, and system
CN109309927A (en) Radio channel information perceives window and method of adjustment
US11432270B2 (en) System for dynamic PUCCH reallocation
CN106922027B (en) ABS dynamic configuration method and system based on system stability
Valkanis et al. Balancing reliability and energy efficiency in LoRa networks using reinforcement learning
US10499285B2 (en) Maximum cell throughput estimation
Ruan et al. Efficient traffic scheduling for coexistence of eMBB and uRLLC in industrial IoT networks
Wang et al. A utility-based resource allocation scheme for IEEE 802.11 WLANs via a machine-learning approach
Gill et al. Memory Enabled Bumblebee-Based Dynamic Spectrum Access for Platooning Environments
Combes et al. A self-optimization method for coverage-capacity optimization in ofdma networks with mimo

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20180420

WD01 Invention patent application deemed withdrawn after publication