WO2015080562A1 - Sélection de connectivité réseau - Google Patents
Sélection de connectivité réseau Download PDFInfo
- Publication number
- WO2015080562A1 WO2015080562A1 PCT/MY2014/000176 MY2014000176W WO2015080562A1 WO 2015080562 A1 WO2015080562 A1 WO 2015080562A1 MY 2014000176 W MY2014000176 W MY 2014000176W WO 2015080562 A1 WO2015080562 A1 WO 2015080562A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- network
- transmission quality
- subscribed
- channel
- quality variables
- Prior art date
Links
- 238000000034 method Methods 0.000 claims abstract description 27
- 238000012544 monitoring process Methods 0.000 claims abstract description 26
- 238000004891 communication Methods 0.000 claims abstract description 13
- 230000005540 biological transmission Effects 0.000 claims description 81
- 238000012423 maintenance Methods 0.000 claims description 13
- 239000011159 matrix material Substances 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 4
- 230000001174 ascending effect Effects 0.000 claims description 3
- 230000004931 aggregating effect Effects 0.000 claims description 2
- 230000000694 effects Effects 0.000 description 9
- 238000003012 network analysis Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000001010 compromised effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters
- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
- H04W36/302—Reselection being triggered by specific parameters by measured or perceived connection quality data due to low signal strength
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters
- H04W36/32—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data
- H04W36/324—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data by mobility data, e.g. speed data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
- H04W36/0085—Hand-off measurements
- H04W36/0088—Scheduling hand-off measurements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/14—Reselecting a network or an air interface
- H04W36/144—Reselecting a network or an air interface over a different radio air interface technology
- H04W36/1446—Reselecting a network or an air interface over a different radio air interface technology wherein at least one of the networks is unlicensed
Definitions
- the present invention relates to a system and method for selecting network connectivity.
- IMT-Advance One of the requirements for future International Mobile Telecommunication Advance technologies (IMT-Advance) is to dynamically share and use the network resources to support smooth handovers across heterogeneous network that crosses different technologies and spectrum bands such as General Packet Radio Services (GPRS), Universal Mobile Telecommunications System (UMTS), Worldwide Interoperability for Microwave Access (WiMAX), LTE, or WiFi.
- GPRS General Packet Radio Services
- UMTS Universal Mobile Telecommunications System
- WiMAX Worldwide Interoperability for Microwave Access
- LTE Long Term Evolution
- WiFi Worldwide Interoperability for Microwave Access
- conventional radio communication terminal sequentially scans for available networks, dis-associates with the connected network and re-associates with a selected network.
- Non-continuous network monitoring happens because the transmission and scanning activity shares the same time slot. Therefore, the scanning activity has to be scheduled to accommodate transmission activity while data is transmitted. When scanning activity is active, transmission activity has to be on hold to make the time slot available. This causes transmission interruption for data that is being transmitted, vulnerable and random data such as voice and video data is affected. In addition to that, comprehensive individual network scanning activity is delayed due to limited availability of the time slot since the time slot is shared. As a result, the networks scanned may not reflect actual result as the scanning of the network was not within the same time period, this causes inaccurate data monitoring of the system.
- a system for selecting network connectivity comprises a communication unit (110), wherein the communication unit (110) includes at least two transceivers (111).
- the system (100) is characterised in that it further includes a monitoring unit (120) for monitoring transmission quality variables which includes received signal strength (RSSI) and connection speed, wherein the monitoring unit (120) includes at least two network scanners (121), and wherein each network scanner (121) is connected to a transceiver of the communication unit (111); a network analyser unit (140), wherein the network analyser unit (140) includes the parameter classification processor (141) and a transmission quality analyser (142), and wherein the parameter classification processor (141) is configured to rank each network channel based on the transmission quality variables and the transmission quality analyser (142) is configured to evaluate each network based on the monitored transmission quality variables, and wherein the parameter classification processor (141) is connected to the at least two network scanners (121) and the transmission quality analyser (142); and a
- a method for selecting network connectivity using the system (100) is provided.
- the method is characterised by the steps of connecting one of the transceivers (111) to a first subscribed network; monitoring transmission quality variables by each network scanner (121), wherein the transmission quality variables refer to received signal strength (RSSI) and connection speed of each channel frequency in each particular network; processing and analysing the transmission quality variables in the network maintenance table by the network analyser unit (140); selecting a second subscribed network for switching by the decision unit (130); and switching connection from the transceiver (111) for the first subscribed network to the transceiver (111) for the second subscribed network if the connection speed of the first subscribed network falls below a predetermined threshold.
- RSSI received signal strength
- the step of monitoring network transmission quality variables includes receiving a list of subscribed networks; obtaining all channels in the subscribed networks; sorting the list based on the channel frequencies in an ascending order for each subscribed network; measuring transmission quality variables of each channel in each network; and storing the measured transmission quality variables in a network maintenance table.
- the step of processing and analysing the transmission quality variables includes plotting each channel for all networks to its corresponding time, and the transmission quality variables; calculating average rate of reaction for each time bin for each channel; aggregating the average rate of reaction to calculate an overall average rate for each network; classifying each network channel as a good, average or bad connection by comparing overall average rate for each channel to predefined thresholds; setting a variable priority is set for each channel based on the classification; ranking each network based on its variable priority and overall average value; plotting and classifying a transmission quality matrix based on the transmission quality variables; and storing the transmission quality matrix into a network performance table, wherein the network performance table includes a ranking of each channel of the subscribed networks.
- the step of selecting a second subscribed network includes extracting an average rate of reaction in specific time range for each network from a network performance table; calculating an error difference for each network, wherein the error difference is a difference between average rate of reaction and the overall average; setting an error limit; comparing the error difference for each network with the error limit; calculating a stability percentage for each network; ranking each channel of each network according to its stability percentage in a descending order; determining whether connection speed of the first subscribed network is below a predetermined threshold; if the connection speed is below the predetermined threshold, obtaining momentary values of the transmission quality variables for each channel of all networks; storing each network with its corresponding momentary value and percentage stability in the network maintenance table; ranking the networks are ranked from most significant to least significant based on the momentary value and percentage stability; and suggesting the network with the highest ranking order as the second subscribed network for switching.
- the system (100) maintains connection with the first subscribed network if the current network speed is above the predetermined threshold.
- FIG. 1 shows a functional block diagram of a system for selecting network connectivity (100) according to an embodiment of the present invention.
- FIG. 2 shows a flowchart of a method for selecting network connectivity according to an embodiment of the present invention.
- FIG. 3 is a flowchart of a network monitoring sub process according to an embodiment of the present invention.
- FIG. 4 is a flowchart of a network analysis sub process according to an embodiment of the present invention.
- FIG. 5 is a flowchart of a network communication selection sub process according to an embodiment of the present invention. DESCRIPTION OF THE PREFFERED EMBODIMENT
- FIG. 1 there is shown a functional block diagram of a system for selecting network connectivity (100) according to an embodiment of the present invention.
- the system (100) is able to continuously scan multiple networks while staying connected to a network.
- Such network may include, but not limited to General Packet Radio Services (GPRS), Universal Mobile Telecommunications System (UMTS), Worldwide Interoperability for Microwave Access (WiMAX), LTE, or WiFi
- GPRS General Packet Radio Services
- UMTS Universal Mobile Telecommunications System
- WiMAX Worldwide Interoperability for Microwave Access
- LTE Long Term Evolution
- WiFi Wireless Fidelity
- the system (100) comprises of a communication unit (110), a monitoring unit (120), a decision unit (130) and a network analyser unit (140).
- the communication unit (110) is used for transmitting and receiving traffic via the network that the system (100) is connected to.
- the communication unit (110) further includes at least two transceivers (111), wherein each transceiver (111) is connected to an antenna and dedicated to a particular frequency band for connecting to a particular network such as, but not limited to frequency band of 2.1 GHz for connecting to 3G network, frequency band of 1800 MHz for connecting to GSM network, frequency band of 2.6 GHz for connecting to LTE network, and frequency band of 2.4 GHz for connecting to WiFi network.
- Each transceiver (111) is connected to a respective network scanner (121) of the monitoring unit (120) and a switcher (133) of the decision unit (130).
- the monitoring unit (120) is used for monitoring network connectivity within its coverage.
- the monitoring unit (120) comprises of at least two network scanners (121), wherein each network scanner (121) is configured to monitor received signal strength (RSSI) and connection speed from a lowest channel frequency to a highest channel frequency of a particular network, wherein the RSSI and connection speed is referred to as transmission quality variables herein below.
- each network scanner (121) is connected to the respective transceiver of the communication unit (111), and a parameter classification processor (141) of the network analyser unit (140).
- the network analyser unit (140) includes the parameter classification processor (141) and a transmission quality analyser (142).
- the parameter classification processor (141) is configured to rank each network channel based on the transmission quality variables for easy examining the network quality.
- the network quality refers to the quality of the network speed.
- the transmission quality analyser (142) is configured to evaluate each network based on the monitored transmission quality variables.
- the parameter quality analyser (142) classifies a network channel as a good, average or bad connection based on predefined thresholds.
- the transmission quality analyser (142) is connected to the parameter classification processor (141), a perceivable-based decision module (131) and a momentary-based decision module (132) of the decision unit (130).
- the decision unit (130) includes the perceivable-based decision module (131), the momentary-based decision module (132), and a switch (133).
- the perceivable-based decision module (131) is configured to determine stability percentage of each network based on the transmission quality variables change over a period of time
- the momentary-based decision module (132) is configured to determine momentary value of the transmission quality variables for each network. Based on the stability percentage and the momentary value, the networks are ranked and the network with highest rank order is selected for connection.
- Both perceivable- based decision module (131) and network and momentary-based decision module (132) are further connected to the switch (133) which switches connectivity between networks based on the decision of the perceivable-based decision module (131) and the momentary-based decision module (132).
- each network scanner (121) monitors transmission quality variables of its respective network by performing a monitoring sub process as in step 500.
- the transmission quality variables refer to received signal strength (RSSI) and connection speed of each channel frequency in a particular network.
- the transmission quality variables obtained by the network scanners (121) are temporarily stored in a network maintenance table, wherein the network maintenance table includes all channels for each subscribed network and its corresponding measured RSSI and connection speed.
- the network analyser unit (140) processes and analyses the transmission quality variables in the network maintenance table by performing a network analysis sub process.
- the network analysis sub process provides a network performance table that includes a ranking of the subscribed networks based on the measured RSSI and connection speed.
- the decision unit (130) selects a second subscribed network for switching by performing a selection sub process as in step 700.
- the selection sub process uses perceivable biases and momentary-based reasoning to select a preferable network as a second subscribed network.
- step 800 the switch (133) switches the connection from the transceiver for the first subscribed network to the transceiver for the second subscribed network when the connection speed of the first subscribed network falls below a predetermined threshold.
- FIG. 3 there is shown a flowchart of the monitoring sub process which is performed by the network scanner (121) as depicted in step 500 of the method of FIG. 2. Initially, as in step 510 and 511 , the network scanners (121) receive a list of subscribed networks and thereon, each network scanner (121) obtains all channels in its respective network. In step 512, the list is sorted based on the channel frequencies in an ascending order for each subscribed network.
- the network scanners (121) measure transmission quality variables which include received signal strength (RSSI), connection speed and corresponding time of all networks as in step 513.
- the measured transmission quality variables are then stored in a network maintenance table by the monitoring unit (120) as in step 514, wherein the network maintenance table includes all channels for each subscribed network and its corresponding measured RSSI and connection speed.
- the measurement of the transmission quality variables is repeated for each channel as in decision 515 and step 516. If the transmission quality variables for all channels have been measured, the method returns to step 513 in order to periodically repeat scanning and measuring the variables.
- FIG. 4 shows a flowchart of the network analysis sub process which is performed by the network analyser unit (140) as depicted in step 600 of the method of FIG. 2.
- the network maintenance table is transmitted from the monitoring unit (120) to the network analyser unit (140).
- the transmission quality analyser (142) plots each channel for all networks to its corresponding time, and the transmission quality variables as in step 611.
- the transmission quality analyser (142) calculates and stores the average rate of reaction for each time bin for each channel.
- the average rate of reaction refers to an average RSSI and connection speed over a period of time.
- the transmission quality analyser (142) For example, if the monitoring unit (120) monitors each network for approximately 30mins and measures the transmission quality variables for every 10mins, the transmission quality analyser (142) accumulates all the transmission quality variables and averages the accumulated transmission quality variables over the period of 30mins. In step 613, the average rate of reaction is aggregated to calculate an overall average rate for each network by the transmission quality analyser (142). Then, the overall average rate corresponding to the network is stored in the network analyser unit (140) as in step 614. The transmission quality analyser (142) classifies a network channel as a good, average or bad connection by comparing overall average rate for each channel to predefined thresholds.
- a variable priority is set for each channel from most to least important by the transmission quality analyser (142) as in step 615, wherein the channel with a good connection is classified as most important, and the channel with a bad connection is classified as least important.
- the networks are then ranked according to its priority variable and overall average value by the parameter classification processor (141) as in step 6 .
- the parameter classification processor (141) plots and classifies a transmission quality matrix based on the transmission quality variables. The classification is done by comparing an average connection speed within a particular time frame to predefined thresholds, and thereon, classifying whether the connection within a particular time frame as good, average or bad connection.
- the transmission quality matrix is then stored into the network performance table as in step 618, wherein the network performance table includes a ranking of each channel of the subscribed networks.
- step 710 the network performance table is transmitted from the network analyser unit (140) to the decision making unit (130). Then, the average rate of reaction in specific time range of each network is extracted from the table in step 711. The difference between average rate of reaction and the overall average for each network is calculated in step 712. The difference is referred to as the error difference, wherein the overall average is defined as a reference value for the average rate of reaction.
- step 713 An error limit is then set to a predefined value and the error difference for each network is compared with the error limit as in step 713. If the error difference exceeds the error limit, the network is deemed as an instable and unreliable network. Otherwise, the network is deemed as a stable network.
- step 714 a stability percentage is calculated by the perceivable-based decision module (131) based on an equation below:
- the perceivable-based decision module (131) then ranks each channel of each network according to its stability percentage in a descending order as in step 715.
- the perceivable-based decision module (131) determines whether connection speed of the first subscribed network is below the predetermined threshold. If the connection speed is below the predetermined threshold, the momentary-based decision module (132) obtains momentary values of the transmission quality variables for each channel of all networks as in step 717. Each network with its corresponding momentary value and percentage stability is stored by the momentary-based decision module (132) in the network maintenance table as in step 718. Then, the networks are ranked from most significant to least significant based on the momentary value and percentage stability as in step 719, wherein the network with the highest momentary value and lowest stability percentage is ranked as the most significant while the network with lowest momentary value and highest stability percentage is ranked as the least significant.
- the transmission quality analyser (142) via the perceivable-based decision module (131) and the momentary-based decision module (132) suggests the network with the highest ranking order to the switcher (133) as in step 720.
- the switcher switches connection from the transceiver of the first subscribed network to the transceiver of the suggested network.
- the connection is maintained with the first subscribed network as in step 721.
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Abstract
La présente invention concerne un système et un procédé permettant de sélectionner une connectivité réseau. Le système (100) est capable de balayer en continu des réseaux multiples tout en restant connecté à un premier réseau auquel il est rattaché. Lorsque la vitesse de connexion du premier réseau auquel il est rattaché tombe au-dessous d'un seuil prédéfini, le système se connecte à un second réseau auquel il est rattaché. Le second réseau auquel il est rattaché est sélectionné sur la base de biais perceptibles et de raisonnements à base instantanée. Le système (100) comprend une unité de communication (110), une unité de surveillance (120), une unité de décision (130) et une unité (140) d'analyse de réseau.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
MYPI2013702298A MY181675A (en) | 2013-11-28 | 2013-11-28 | System and method for selecting network connectivity |
MYPI2013702298 | 2013-11-28 |
Publications (1)
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WO2015080562A1 true WO2015080562A1 (fr) | 2015-06-04 |
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PCT/MY2014/000176 WO2015080562A1 (fr) | 2013-11-28 | 2014-06-12 | Sélection de connectivité réseau |
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MY (1) | MY181675A (fr) |
WO (1) | WO2015080562A1 (fr) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1635592A1 (fr) * | 2004-09-13 | 2006-03-15 | Alcatel | Esimation de la qualité de transmission dans un réseau de communication sans fil |
WO2009057960A2 (fr) * | 2007-10-30 | 2009-05-07 | Lg Electronics Inc. | Procédé de resélection d'une cellule basée sur des priorités |
EP2104389A1 (fr) * | 2008-03-17 | 2009-09-23 | LG Electronics Inc. | Procédé de sélection de cellule dans une structure de cellule hiérarchique basée sur la qualité de cellule |
US20100278141A1 (en) * | 2009-05-01 | 2010-11-04 | At&T Mobility Ii Llc | Access control for macrocell to femtocell handover |
US20110255516A1 (en) * | 2010-04-15 | 2011-10-20 | Clear Wireless, Llc | Apparatus and method for multimode device handover |
US20120202556A1 (en) * | 2009-12-07 | 2012-08-09 | Fujitsu Limited | Mobile communication system, base station apparatus, and handover execution method |
-
2013
- 2013-11-28 MY MYPI2013702298A patent/MY181675A/en unknown
-
2014
- 2014-06-12 WO PCT/MY2014/000176 patent/WO2015080562A1/fr active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1635592A1 (fr) * | 2004-09-13 | 2006-03-15 | Alcatel | Esimation de la qualité de transmission dans un réseau de communication sans fil |
WO2009057960A2 (fr) * | 2007-10-30 | 2009-05-07 | Lg Electronics Inc. | Procédé de resélection d'une cellule basée sur des priorités |
EP2104389A1 (fr) * | 2008-03-17 | 2009-09-23 | LG Electronics Inc. | Procédé de sélection de cellule dans une structure de cellule hiérarchique basée sur la qualité de cellule |
US20100278141A1 (en) * | 2009-05-01 | 2010-11-04 | At&T Mobility Ii Llc | Access control for macrocell to femtocell handover |
US20120202556A1 (en) * | 2009-12-07 | 2012-08-09 | Fujitsu Limited | Mobile communication system, base station apparatus, and handover execution method |
US20110255516A1 (en) * | 2010-04-15 | 2011-10-20 | Clear Wireless, Llc | Apparatus and method for multimode device handover |
Also Published As
Publication number | Publication date |
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MY181675A (en) | 2020-12-31 |
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