WO2014129994A1 - Experience based packet scheduler - Google Patents

Experience based packet scheduler Download PDF

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Publication number
WO2014129994A1
WO2014129994A1 PCT/TR2014/000040 TR2014000040W WO2014129994A1 WO 2014129994 A1 WO2014129994 A1 WO 2014129994A1 TR 2014000040 W TR2014000040 W TR 2014000040W WO 2014129994 A1 WO2014129994 A1 WO 2014129994A1
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WIPO (PCT)
Prior art keywords
user
metrics
time interval
experience
certain time
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PCT/TR2014/000040
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French (fr)
Inventor
Mert YAGCIOGLU
Omer Ileri
Salih ERGUT
Oguz BAYAT
Original Assignee
Avea Iletisim Hizmetleri Anonim Sirketi ( Teknoloji Merkezi )
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Publication of WO2014129994A1 publication Critical patent/WO2014129994A1/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/50Queue scheduling
    • H04L47/62Queue scheduling characterised by scheduling criteria
    • H04L47/625Queue scheduling characterised by scheduling criteria for service slots or service orders
    • H04L47/6265Queue scheduling characterised by scheduling criteria for service slots or service orders past bandwidth allocation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/50Queue scheduling
    • H04L47/62Queue scheduling characterised by scheduling criteria
    • H04L47/625Queue scheduling characterised by scheduling criteria for service slots or service orders
    • H04L47/626Queue scheduling characterised by scheduling criteria for service slots or service orders channel conditions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality

Definitions

  • the present invention relates to a packet scheduler developed to classify the data traffic in telecommunication systems.
  • the present invention particularly relates to an experience based packet scheduler enabling classification of traffic according to the past experience of the users in telecommunication systems.
  • the packets reaching the router over the network are transferred to the other end by means of a method referred to as best effort.
  • the incoming packets are directly transmitted to the other end without any prioritization process. Therefore, operators cannot interfere with data traffic and service is provided to all users in the same way.
  • prioritization should be carried out in some cases for data transmission between the users. For example, improving the quality of service offered to the user can be desired by providing packet transmission priority for the users experienced poor service in the past over the network.
  • prioritization cannot be provided by means of the best effort method.
  • the present invention relates to an experience based packet scheduler developed for eliminating the aforementioned disadvantages and providing new advantages to the relevant technical field.
  • the main object of the present invention is to introduce an experience based packet scheduler enabling scheduling of the packets to be sent to the users according to the past experience of the users within a certain time interval. Thus, it is to provide packet transmission priority to the users experienced poor service in the past.
  • Another object of the present invention is to introduce a packet scheduler using the following parameters in scheduling the packets to be sent to the users: experience history of the users as well as current load condition of the base stations currently connected thereby, their instantaneously experienced channel quality, subscriber class and data amount received within a certain time interval. In this way, operators are allowed to control the quality of service offered to the users and users are allowed to receive the services wanted thereby with desired quality.
  • Another object of the present invention is to introduce a packet scheduler capable of operating in particular with base stations used in the third generation and fourth generation communication systems.
  • a packet scheduler comprising an average data calculator calculating the average data amount transmitted to the users within a certain time interval in a communication network and a traffic class and data transmission command center determining the quality of service metrics according to the subscriber class of the user Said packet scheduler is characterized in further comprising the following:
  • an experience classifier dynamically evaluating the service received in the past by each user within a certain time interval and accordingly enabling a digital value referred to as experience class metrics to be calculated;
  • an adaptive packet scheduler generating packet transmission order for each user and performing it dynamically for each time interval according the following: experience class metrics received thereby from said experience classifier, average data amount information received thereby from the average data calculator, quality of service metrics as well as load condition information of the base station currently connected by the user and channel quality metrics received thereby from traffic class and data transmission command center.
  • the present invention in order to determine the packet transmission order for each user on a communication network, relates to a packet scheduling method comprising the process steps of:
  • Figure 1 illustrates a schematic view of the experience based packet scheduler system according to the present invention.
  • the experience based packet scheduler system enables the service provider operators to schedule data packets to be sent to the users on the same network according to certain criteria by being integrated into the radio communication systems.
  • the main criteria is the past service experience of users within a certain time interval (T).
  • subscriber class of the user is evaluated: subscriber class of the user, average data amount (R) sent within a certain time interval, channel quality information of the user and load condition (LC) of the base station (1) currently connected by the user.
  • R average data amount
  • LC load condition
  • Figure 1 illustrates a schematic view of the experience based packet scheduler system according to the present invention.
  • the system according to the present invention comprises the following: an experience classifier (5) enabling the experience class metrics (EC) to be calculated by evaluating the past service information received from the current base station (1) for each user within a network; an average data amount calculator (4) calculating the average data amount (R) sent for each user within a certain time interval; and an adaptive packet scheduler (6) determining the packet transmission order for each user according to experience class metrics (EC) average data amount information (R) as well as subscriber class, channel quality, load condition (LC) information of the base station (1 ).
  • experience class metrics EC
  • R channel quality, load condition
  • the experience classifier (5) takes the following parameters into account while evaluating the service received in the past by the user within a certain time interval (T):
  • CSR call success rate
  • experience class metrics (EC) within a certain time interval (T) in the past for a user (u) is mathematically expressed as follows:
  • EC U F (CSR T, R T, BER T, T)
  • the time interval (T) used in the calculation is determined by the operator.
  • Experience class metrics decreases as the call success rate (CSR), average data rate (R) and bit error rate (BER) experience by the user (u) increase.
  • CSR call success rate
  • R average data rate
  • BER bit error rate
  • experience class metrics is dynamically generated for each user by performing it for all users on the network.
  • the service received in the past by the user is evaluated within certain time intervals. These time intervals can be in seconds, minutes or hours.
  • the time interval (T) indicates the evaluation time of the call success rate (CSR), average data amount (R) and bit error rate (BER) parameters within each time interval. Accordingly, "average data amount” expression is used since the data amount experienced by the user is calculated not instantaneously but for the determined time intervals.
  • the average data amount (R) is mathematically calculated for a user (u) by the average data amount calculator (4) as follows:
  • the t c parameter used in this formula is the time interval used for calculating the average data amount. As this time interval increases, the time interval for calculating the average data amount will also increase.
  • the users can be included in any one of the desired subscriber classes determined by their operator.
  • the reason for creating different subscriber classes is to send users data according to the needs thereof and to be able to make pricing.
  • a quality of service metrics (QoS) determined by the operator is provided for each subscriber class.
  • QoS quality of service metrics
  • the subscriber class of each user is determined by a traffic class and data transmission command center (3).
  • each user sends to the base station (1) a feedback referred to as channel quality metrics (CQM) and indicating the channel quality currently measured by the user.
  • CQM is a metrics determined in 3G and 4G network standards.
  • This metrics (CQM) in 3G networks, is sent from the mobile phone, i.e. from the user to the base station (1) at certain time intervals since time division multiplexing is carried out in 3G networks and in 4G networks, it is sent at certain time as well as certain frequency intervals since time division and frequency division multiplexing is carried out in 4G networks.
  • the reason for sending tis metrics is to provide information to the base station (1) regarding the channel quality of the mobile phone at the current location thereof.
  • the adaptive packet scheduler (6) calculates a decision metrics (DM) to be used during packet transmission order for each user by using the following parameters: experience class metrics (EC), average data amount (R), quality of service metrics (QoS), channel quality metrics (CQM) and load condition (LC) of the base station (1).
  • EC experience class metrics
  • R average data amount
  • QoS quality of service metrics
  • CQM channel quality metrics
  • LC load condition
  • R Dust(n) a and ⁇ values are variables used by the operator to determine the weight of channel quality metrics (CQM) in the formula.
  • the LC value expressing the load condition of the base station (1) currently connected by the user is a value between [0,1].
  • the g function in the formula is a function monotonously decreasing with EC U and LC.
  • decision metrics are dynamically calculated using the formula mentioned above. Packet transmission order is determined in direct proportion to the decision metrics. Namely, users having greater decision metrics have priority in data acquisition.
  • the preferred embodiment of the experience based packet scheduler system according to the present invention is arranged so as to operate in the base stations (1) used in the third generation (3G) and fourth generation (4G) communication systems.
  • adaptive packet scheduler (6) sends data to different users at each time interval.
  • adaptive packet scheduler (6) sends data to the users at certain time and frequency intervals.
  • the present invention can be arranged so as to operate with different communication systems in the alternative embodiments thereof.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The present invention relates to a packet scheduler system and a method for said system, wherein said packet scheduler system enables the decision metrics for each user to be calculated and enables organization of the data transmission according to the calculated decision metrics in the communication networks by using the following data: past service experience of users within a certain time interval, average data amount transmitted to the user within a certain time interval, subscriber class of the user, load condition of the base station connected by the user and channel quality experienced by the user.

Description

S!SeR!FTia
EXPERIENCE BASED PACKET SCHEDULER
FIELD OF THE INVENTION
The present invention relates to a packet scheduler developed to classify the data traffic in telecommunication systems.
The present invention particularly relates to an experience based packet scheduler enabling classification of traffic according to the past experience of the users in telecommunication systems. PRIOR ART
The packets reaching the router over the network are transferred to the other end by means of a method referred to as best effort. In this method, the incoming packets are directly transmitted to the other end without any prioritization process. Therefore, operators cannot interfere with data traffic and service is provided to all users in the same way. However, prioritization should be carried out in some cases for data transmission between the users. For example, improving the quality of service offered to the user can be desired by providing packet transmission priority for the users experienced poor service in the past over the network. However, such prioritization cannot be provided by means of the best effort method.
With the best effort method, all users on the network can communicate with transmission rates and transmission durations that change according to the traffic on the network and that cannot be previously determined. Further, in the best effort method, whether or not packets are delivered to the other end cannot be guaranteed.
: ■■
The current aforementioned problems do not allow the users to get a standard service and to perform operations such as prioritization according to the criteria to be determined by the operators. Namely, operators cannot classify the data traffic. All these reasons have made it necessary to make an improvement in the relevant art. BRIEF DESCRIPTION OF THE INVENTION
The present invention relates to an experience based packet scheduler developed for eliminating the aforementioned disadvantages and providing new advantages to the relevant technical field.
The main object of the present invention is to introduce an experience based packet scheduler enabling scheduling of the packets to be sent to the users according to the past experience of the users within a certain time interval. Thus, it is to provide packet transmission priority to the users experienced poor service in the past.
Another object of the present invention is to introduce a packet scheduler using the following parameters in scheduling the packets to be sent to the users: experience history of the users as well as current load condition of the base stations currently connected thereby, their instantaneously experienced channel quality, subscriber class and data amount received within a certain time interval. In this way, operators are allowed to control the quality of service offered to the users and users are allowed to receive the services wanted thereby with desired quality. Another object of the present invention is to introduce a packet scheduler capable of operating in particular with base stations used in the third generation and fourth generation communication systems.
The present invention, In order to achieve all the objects mentioned above and to become evident from the following detailed description, relates to a packet scheduler comprising an average data calculator calculating the average data amount transmitted to the users within a certain time interval in a communication network and a traffic class and data transmission command center determining the quality of service metrics according to the subscriber class of the user Said packet scheduler is characterized in further comprising the following:
- an experience classifier dynamically evaluating the service received in the past by each user within a certain time interval and accordingly enabling a digital value referred to as experience class metrics to be calculated; and
- an adaptive packet scheduler generating packet transmission order for each user and performing it dynamically for each time interval according the following: experience class metrics received thereby from said experience classifier, average data amount information received thereby from the average data calculator, quality of service metrics as well as load condition information of the base station currently connected by the user and channel quality metrics received thereby from traffic class and data transmission command center.
The present invention, in order to determine the packet transmission order for each user on a communication network, relates to a packet scheduling method comprising the process steps of:
calculating the data amount sent to each user within a certain time interval by the average data calculator at certain time intervals; and
determining the quality of service metrics by the traffic class and data transmission command center according to the subscriber class of each user, wherein said method further comprises the following process steps:
calculating the experience class metrics for each user by the experience classifier according to the service experienced in the past by the user within a certain time interval;
- generating decision metrics using average data amount, qualit of service metrics, experience class metrics as well as load condition information of the base station currently connected by the user and channel quality metrics experienced by the user; and
determining the packet transmission order within the network according to the generated decision metrics.
Embodiment of the present invention and advantages thereof with the additional components must be considered together with the figures explained below in order to be fully understood. BRIEF DESCRIPTION OF THE FIGURES
Figure 1 illustrates a schematic view of the experience based packet scheduler system according to the present invention. REFERENCE NUMBERS
1 Base station
2 Mobile gateway
3 Traffic class and data transmission rule command center
4 Average data calculator
5 Experience classifier
6 Adaptive packet scheduler QoS: Quality of service metrics
R: Average data amount
EC: Experience class metrics
CQM: Channel quality metrics
DM: Decision metrics
CSR: Call success rate
BER: Bit error rate DETAILED DESCRIPTION OF THE INVENTION
In this detailed description, experience based packet scheduler system according to the present invention is described with examples only for a better understanding of the subject without constituting any restrictive effect.
The experience based packet scheduler system according to the present invention enables the service provider operators to schedule data packets to be sent to the users on the same network according to certain criteria by being integrated into the radio communication systems. The main criteria is the past service experience of users within a certain time interval (T). Along with this criteria, following are also evaluated: subscriber class of the user, average data amount (R) sent within a certain time interval, channel quality information of the user and load condition (LC) of the base station (1) currently connected by the user.
Figure 1 illustrates a schematic view of the experience based packet scheduler system according to the present invention. The system according to the present invention comprises the following: an experience classifier (5) enabling the experience class metrics (EC) to be calculated by evaluating the past service information received from the current base station (1) for each user within a network; an average data amount calculator (4) calculating the average data amount (R) sent for each user within a certain time interval; and an adaptive packet scheduler (6) determining the packet transmission order for each user according to experience class metrics (EC) average data amount information (R) as well as subscriber class, channel quality, load condition (LC) information of the base station (1 ).
The experience classifier (5) takes the following parameters into account while evaluating the service received in the past by the user within a certain time interval (T):
call success rate (CSR) experienced by the user within said time interval
CO; average data rate (R) experienced by the user within said time interval (T); and
bit error rate (BER) experienced by the user within said time interval (T). According to these parameters, experience class metrics (EC) within a certain time interval (T) in the past for a user (u) is mathematically expressed as follows:
ECU = F (CSR T, R T, BER T, T) The time interval (T) used in the calculation is determined by the operator.
Experience class metrics (EC) decreases as the call success rate (CSR), average data rate (R) and bit error rate (BER) experience by the user (u) increase. In this calculation, experience class metrics (EC) is dynamically generated for each user by performing it for all users on the network.
The service received in the past by the user is evaluated within certain time intervals. These time intervals can be in seconds, minutes or hours. The time interval (T) indicates the evaluation time of the call success rate (CSR), average data amount (R) and bit error rate (BER) parameters within each time interval. Accordingly, "average data amount" expression is used since the data amount experienced by the user is calculated not instantaneously but for the determined time intervals.
The average data amount (R) is mathematically calculated for a user (u) by the average data amount calculator (4) as follows:
xc) *c
The tc parameter used in this formula is the time interval used for calculating the average data amount. As this time interval increases, the time interval for calculating the average data amount will also increase.
The users, according to the preferences thereof, can be included in any one of the desired subscriber classes determined by their operator. The reason for creating different subscriber classes is to send users data according to the needs thereof and to be able to make pricing. A quality of service metrics (QoS) determined by the operator is provided for each subscriber class. During the operation, the subscriber class of each user is determined by a traffic class and data transmission command center (3).
In 3G networks, each user sends to the base station (1) a feedback referred to as channel quality metrics (CQM) and indicating the channel quality currently measured by the user. CQM is a metrics determined in 3G and 4G network standards. This metrics (CQM), in 3G networks, is sent from the mobile phone, i.e. from the user to the base station (1) at certain time intervals since time division multiplexing is carried out in 3G networks and in 4G networks, it is sent at certain time as well as certain frequency intervals since time division and frequency division multiplexing is carried out in 4G networks. The reason for sending tis metrics is to provide information to the base station (1) regarding the channel quality of the mobile phone at the current location thereof.
According to the information provided above, the adaptive packet scheduler (6) calculates a decision metrics (DM) to be used during packet transmission order for each user by using the following parameters: experience class metrics (EC), average data amount (R), quality of service metrics (QoS), channel quality metrics (CQM) and load condition (LC) of the base station (1). For a user (u), said decision metrics (DM) is calculated with the following formula:
QoS„ {n)aCQM {n)g{ECu {n), LC)
DMu {n)
R„(n) a and β values are variables used by the operator to determine the weight of channel quality metrics (CQM) in the formula. The LC value expressing the load condition of the base station (1) currently connected by the user is a value between [0,1]. The g function in the formula is a function monotonously decreasing with ECU and LC.
For each user on the network, decision metrics are dynamically calculated using the formula mentioned above. Packet transmission order is determined in direct proportion to the decision metrics. Namely, users having greater decision metrics have priority in data acquisition. The preferred embodiment of the experience based packet scheduler system according to the present invention is arranged so as to operate in the base stations (1) used in the third generation (3G) and fourth generation (4G) communication systems. In case of using third generation base stations (1), adaptive packet scheduler (6) sends data to different users at each time interval. In case of using fourth generation base stations (1), adaptive packet scheduler (6) sends data to the users at certain time and frequency intervals. The present invention can be arranged so as to operate with different communication systems in the alternative embodiments thereof.

Claims

1. A packet scheduler system comprising an average data calculator (4) calculating the average data amount (R) transmitted to the users within a certain time interval in a communication network and a traffic class and data transmission command center (3) determining the quality of service metrics (QoS) according to the subscriber class of the user, characterized in further comprising the following:
an experience classifier (5) dynamically evaluating the service received in the past by each user within a certain time interval (T) and accordingly enabling a digital value referred to as experience class metrics (EC) to be calculated; and an adaptive packet scheduler (6) generating packet transmission order for each user and performing it dynamically for each time interval according the following: experience class metrics (EC) received thereby from said experience classifier (5), average data amount (R) information received thereby from the average data calculator (4), quality of service metrics (QoS) as well as load condition (LC) information of the base station (1 ) currently connected by the user and channel quality metrics (CQM) received thereby from traffic class and data transmission command center.
2. The packet scheduler system according to Claim 1 , characterized in that it is employed in the base stations (1) used in the third generation (3G) and fourth generation (4G) communication systems.
3. A packet scheduling method of the system of claim 1 to determine the packet transmission order for each user on a communication network comprising the process steps of:
calculating the data amount (R) sent to each user within a certain time interval by the average data calculator (4) at certain time intervals; and determining the quality of service metrics (QoS) by the traffic class and data transmission command center (3) according to the subscriber class of each user,
characterized in that said method further comprises the following process steps:
calculating the experience class metrics (EC) for each user by the experience classifier (5) according to the service experienced in the past by the user within a certain time interval (T); generating decision metrics (DM) using average data amount (R), quality of service metrics (QoS), experience class metrics (EC) as well as load condition information of the base station (1) currently connected by the user and channel quality metrics (CQM) experienced by the user; and determining the packet transmission order within the network according to the generated decision metrics (DM).
A packet scheduling method according to Claim 3, characterized in that decision metrics (DM) value is directly proportional with the packet transmission order.
The packet scheduling method according to Claim 3, characterized in that following parameters are used in the calculation of the experience class metrics (EC):
call success rate (CSR) experienced by the user within a certain time interval (T) in the past;
average data rate (R) experienced by the user within a certain time interval (T) in the past; and
bit error rate (BER) experienced by the user within a certain time interval (T) in the past.
The packet scheduling method according to Claim 3, characterized in that for a user (u) on the network, the decision metrics (DM) is calculated with the following formula:
Figure imgf000010_0001
The packet scheduling method according to Claim 6, characterized in that variables (α, β) with the values thereof determined by the operator are used to determine the weight of channel quality metrics (CQM) in the calculation of the decision metrics (DM).
The packet scheduling method according to Claim 6, characterized in that the load condition (LC) of the base station (1) is a value ranging between [0,1].
The packet scheduling method according to Claim 6, characterized in that g function is a function monotonously decreasing with the experience class metrics (EC) and base station (1) load condition (LC).
PCT/TR2014/000040 2013-02-21 2014-02-20 Experience based packet scheduler WO2014129994A1 (en)

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TR2013/02101 2013-02-21

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Citations (8)

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Publication number Priority date Publication date Assignee Title
EP1758312A1 (en) * 2005-08-26 2007-02-28 Matsushita Electric Industrial Co., Ltd. Scheduling depending on quality of service and channel properties
US20090116390A1 (en) * 2007-11-05 2009-05-07 Qualcomm Incorporated Scheduling best effort flows in broadband wireless networks
WO2011057292A1 (en) * 2009-11-09 2011-05-12 Movik Networks, Inc. Burst packet scheduler for improved ran efficiency in umts/hspa networks
WO2012000547A1 (en) * 2010-06-30 2012-01-05 Nokia Siemens Networks Oy Scheduling of user terminals in communication network
US20120269143A1 (en) * 2011-04-25 2012-10-25 Texas Instruments Incorporated Medium access control schedulers for wireless communication
US20120294161A1 (en) * 2011-05-17 2012-11-22 Argela Yazilim ve Bilisim Teknolojileri San. ve Tic. A.S. Quality of service cognizant scheduler for femtocell base stations
EP2530988A1 (en) * 2011-06-04 2012-12-05 Alcatel Lucent A scheduling concept
EP2549819A1 (en) * 2011-07-22 2013-01-23 MIMOON GmbH Method and apparatus for self-optimized scheduling

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1758312A1 (en) * 2005-08-26 2007-02-28 Matsushita Electric Industrial Co., Ltd. Scheduling depending on quality of service and channel properties
US20090116390A1 (en) * 2007-11-05 2009-05-07 Qualcomm Incorporated Scheduling best effort flows in broadband wireless networks
WO2011057292A1 (en) * 2009-11-09 2011-05-12 Movik Networks, Inc. Burst packet scheduler for improved ran efficiency in umts/hspa networks
WO2012000547A1 (en) * 2010-06-30 2012-01-05 Nokia Siemens Networks Oy Scheduling of user terminals in communication network
US20120269143A1 (en) * 2011-04-25 2012-10-25 Texas Instruments Incorporated Medium access control schedulers for wireless communication
US20120294161A1 (en) * 2011-05-17 2012-11-22 Argela Yazilim ve Bilisim Teknolojileri San. ve Tic. A.S. Quality of service cognizant scheduler for femtocell base stations
EP2530988A1 (en) * 2011-06-04 2012-12-05 Alcatel Lucent A scheduling concept
EP2549819A1 (en) * 2011-07-22 2013-01-23 MIMOON GmbH Method and apparatus for self-optimized scheduling

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