Description PACKET SCHEDULING SYSTEM AND METHOD IN MOBILE COMMUNICATION SYSTEM Technical Field
[1] The present invention relates to a packet scheduling system and method. More specifically, the present invention relates to a packet scheduling system and method for servicing real-time speech traffic data and real-time video traffic data in wireless multimedia environments. Background Art
[2] The next generation wireless communication systems are expected to provide broadband multimedia services including real-time speech and video data with QoS (quality of service)to mobile station users.
[3] In order to efficiently utilize resources in the wireless communication environment, studies on packet scheduling algorithms for fairly distributing radio resources to a plurality of users have actively progressed. In particular, the next generation wireless communication system requires a packet scheduling algorithm for satisfying QoS for respective services and concurrently satisfying the system capacity.
[4] The M-LWDF (modified largest weighted delay first) method has been proposed as a scheduling method for guaranteeing delay of real-time traffic and processing performance in the wireless channel environment.
[5] The algorithm initially allocates a sub channel to a user who has the top priority based on the priority metric of μ (t).
[6] The algorithm is designed for a delay-sensitive service, and considers the maximum delay condition of W required for each user i. max
[7] The priority metrics of μ (t) corresponding to all the subchannels at the slot time t are given in Math Figure 1, and the service is initially performed for the user who has the top priority metric of μ (t).
[8] MathFigure 1
[9] where Wis a packet delay for the user i (i.e., a time during which the user i stands
by in the queue i, and in detail, a packet delay of the head of line of the queue i),
is channel capacity (a channel rate) for the user i,
is a mean channel rate for the user i, it is defined that i =- log ^ δ i I W1 m ax , and δ Ϊ is the maximum probability value of W (t) which exceeds W1 i max
[10] The mean channel transmission rate of r,( ) is updated through Math Figure 2. [11] MathFigure 2 ;,(/+i)=(i -i/ re) ,( +(i/ re) r,(/)
[12] where T is a time constant of exponential filtering, such as T =1,000 slots (one second). [13] When W1 and max δ , are the same for all users who belong to the same service class, Math Figure 1 is redefined as Math Figure 3. [14] MathFigure 3
[15] Ebwever, the system capacity is restricted because of the mean outage probability of the packets which fail to satisfy the maximum packet loss rate in the case of the real-time traffic according to the conventional packet scheduling algorithm Therefore,
algorithms for guaranteeing the maximum packet loss rate of the real-time traffic and increasing the number of users (the system capacity) are required.
[16] Disclosure of Invention Technical Problem
[17] It is an advantage of the present invention to provide a real-time packet scheduling method and device for satisfying QoS of respective services and system capacity.
[18] In one aspect of the present invention, a packet scheduling method in a mobile communication system comprises: (a) calculating a packet loss probability on an input real-time traffic packet; (b) differentiating a weight according to the state in which the calculated packet loss probability exceeds the maximum packet loss requirement probability, and determining a priority metric, the weight being established to be higher as the calculated packet loss probability approaches the maximum packet loss requirement probability; and (c) performing a packet scheduling process according to the priority metric determined in (b).
[19] In another aspect of the present invention, a packet scheduling system in a mobile communication system comprises: a QoS (quality of service) manager for storing realtime traffic data in an input buffer from among the data received from an upper layer, and managing QoS information corresponding to the stored traffic data; a per- subchannel packet loss calculator for calculating a per- subchannel packet loss probability of the stored real-time traffic data; and a packet scheduler for determining a priority metric based on the packet loss probability calculated by the per-subchannel packet loss calculator and the maximum packet loss requirement probability, and performing a packet scheduling process based on the priority metric
[20] In still another aspect of the present invention, provided is a recording medium for storing a program which has a real-time packet scheduling function of a mobile communication system, wherein the program comprises: calculating a packet loss probability on an input real-time traffic packet; allowing different weights according to the condition of whether the packet loss probability exceeds the maximum packet loss requirement probability, and determining the priority metric, the weights beingestablished to be higher as the calculated packet loss probability approaches the maximum packet loss; and performing a packet scheduling process according to the determined priority metric
[21]
[22] [23] [24] Brief Description of the Drawings
[25] The accompanying drawings, which are incorporated in and constitute part of the specification, illustrate an embodiment of the invention, and together with the description, serve to explain the principles of the invention:
[26] FIG. 1 shows a packet scheduling system according to a preferred embodiment of the present invention;
[27] FIG. 2 shows a packet scheduling mechanism executed by a packet scheduler according to a preferred embodiment of the present invention; and
[28] FIG. 3 shows an operational flowchart of the packet scheduling algorithm according to a preferred embodiment of the present invention.
[29] Best Mode for Carrying Out the Invention
[30] In the following detailed description, only the preferred embodiment of the invention has been shown and described, simply by way of illustration of the best mode comtemplated by the inventor(s) of carrying out the invention. As will be realized, the invention is capable of modification in various obvious respects, all without departing from the invention. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not restrictive. To clarify the present invention, parts which are not described in the specification are omitted, and parts for which similar descriptions are provided have the same reference numerals.
[31] A packet scheduling algorithm according to a preferred embodiment of the present invention will now be described.
[32] In the case of servicing real-time traffic data, loss occurs when faling to satisfying the maximum transmission delay, and hence, the QoS on the maximum packet loss rate required by the real-time service needs to be satisfied.
[33] (1) Per- subchannel packet loss probability
[34] The PLR (packet loss rate) is to be defined to satisfy the QoS condition on the realtime traffic The PLR on the real-time traffic service is caused by a delay which is greater than the maximum delay condition of W ' . When a transmission operation is max generated in a channel environment with a PER (packet error rate) of 1%, the packet error is increased by 1%, and when a retransmission operation is performed on the
erroneous packet, the delay on the packet transmission is increased, and the packet loss is increased. Ebwever, since the retransmission operation can be omitted in the realtime traffic, performance is calculated without performing the retransmission operation in the preferred embodiment. [35] In this instance, the packet loss rate is defined by the summation of the PER caused by channel impairment and the packet loss rate calculated from the packet which exceeds the required maximum delay condition. Therefore, the PLP (packet loss probability) for the user i is defined in Math Figure 4. [36] MathFigure 4
N)Xt) PiPXi) N'hsl(f)+ N'servics(f)
[37] where N1 is a total number of the lost packets for the user i for each subchannel, lost and N is a total number of the packets serviced to the user i for each subchannel.
[38] The outage probability P for the i user is defined as Math Figure 5. out
[39] MathFigure 5 _
out -J. J- -*- max
[40] where Num (PLPi > PLPi ιax ) is the total number of users who have a packet loss rate which is greater than the maximum packet loss requirement probability of PLP , and N is the total number max max of the real-time traffic users. [41] (2) PLP-based packet scheduling algorithm
[42] The algorithm according to the preferred embodiment of the present invention is determined by the relation between the PLP (t) and the maximum packet loss re- quirement probability of PLP max
[43] The priority metric is defined in Math Figure 6.
[44] MathFigure 6
r ( =
[45] where is a positive number less than PLP1 . As known from Math Figure 6, the difference max of μ. C between the different users becomes greater according to the magnitude of PLP (t). Therefore, the opportunity for the user to be scheduled is increased as the PLP (t) approaches the maximum packet loss requirement probability of PLP max
[46] When the value of
'.(0 is defined to be constant, the priority metric is decreased as the PLP (t) is increased in the case of PLP (t)>PLP1 , and the priority metric is decreased as the PLP (t) is i max l decreased in the case of PLP (t)<PLP . Therefore, the opportunity for the user to be i max scheduled is increased since the priority metric is increased as the PLP (t) approaches the maximum packet loss requirement probability of PLP 1 max
[47] Also, when the delay value of W (t) is additionally reflected, the priority metric is provided to the user with a large delay time from an input buffer to reduce the delay time. Also, by reflecting the value of
, the priority metric is provided to the good channel user to thus increase throughputs and improve the fairness between the users. [48] The packet scheduling algorithm guarantees the maximum packet loss rate of the real-time traffic and increases system capacity. [49] FIG. 1 shows a detailed configuration of a packet scheduling system according to a preferred embodiment of the present invention. [50] As shown, the packet scheduling system 220 is provided in a base station 200 which provides information on the channel state (e.g., buffer states) to the packet scheduling system 220 through data communication with at least one user terminal 301 to 300n. [51] The packet scheduling system 220 determines the priority metric on the real-time traffic data to be transmitted to at least one user terminal 301 to 300n. [52] The preferred embodiment describes that the packet scheduling system 220 included in the base station 200 schedules the real-time traffic data from among the data received from an upper layer, but the present invention is not restricted to this, and the packet scheduling system 220 can be provided to various mobile communication systems to schedule the real-time traffic data. [53] The packet scheduling system 220 comprises a QoS manager 222, a per- subchannel packet loss calculator 224, and a packet scheduler 226. [54] The QoS manager 222 stores real-time traffic data from among IP (Internet packet) data received from the upper layer into an input buffer (not illustrated), and manages corresponding QoS information. [55] The per- subchannel packet loss calculator 224 calculates the per-subchannel packet loss probabilities of the packets stored in the QoS manager 222 for the respective users based on Math Figure 4. [56] The packet scheduler 226 determines the priority metrics defined by Math Figure 6 and performs packet scheduling by using the determined priority metrics, based on the packet loss probabilities calculated by the per-subchannel packet loss calculator 224 and the maximum packet loss requirement probability of PLP max
[57] In detail, the packet scheduler assigns a priority metric to the user who has a good channel state the closer the packet loss probability of PLP (t)is to the maximum packet loss requirement probability of PLP1 , and the greater the delay time is at the input max buffer. [58] A scheduling mechanism according to the preferred embodiment of the present invention will now be described.
[59] FIG. 2 shows a packet scheduling mechanism executed by the packet scheduler 226 according to a preferred embodiment of the present invention.
[60] In a transmission system including real-time speech buffers 110 and 120 and realtime video buffers 130 and 140, data of the k real-time speech users and data of m realtime video users are respectively stored in the real-time speech buffers 110 and 120 and the real-time video buffers 130 and 140.
[61] In this instance, the packet scheduling algorithm initially provides a priority metric to the real-time speech service, and a subsequent priority metric to the real-time video service. The priority metrics between the real-time speech services or between the realtime video services are based on the priority metrics defined by Math Figure 6.
[62] FIG. 3 shows an operational flowchart when the packet scheduling algorithm according to the preferred embodiment of the present invention is applied to an OFDMA/FDD (orthogonal frequency division multiple access/frequency division duplex) system
[63] Referring to FIG. 3, when N is greater than the maximum value of the subchannels predefined N (given as 12 in FIG. 3) assuming that k real-time speech users and subchannels m real-time video users are provided and respective frequency axes are given as N which represent subcarrier axes, the scheduling task is terminated. The value of subchannels N is established to be '0' in step S201, and it is determined whether the real-time subchannels speech buffers 110 and 120 are empty in step S202. [64] When the real-time speech buffers 110 and 120 are found empty, the scheduling process on the real-time speech data is terminated, and when they are not empty, the value of the priority metric of s for the corresponding user is calculated in step S203, and it is determined whether N is less than the initial value of 12 in step S204. subchannels
[65] When N is less than the value of 12, it is determined whether L (t) is greater subchannels than or equal to T (t) in step S205, where L (t) is the packets of the user "a" which are not processed but remain before the scheduling update time of "t", and T (t) is the size of transmission data caused by the transmission method determined according to the received SNR (signal to noise ratio) value which is channel information of the user "a". Therefore, the size of the data to be transmitted is variable for each slot and user where the user "a" is the user who has the top priority metric according to Math Figure 6. [66] When La(t) is greater than or equal to Ta(t) in the previous step S205, the scheduler performs a scheduling process to service the user "a" by the amount of T (t), increases the value of N by 1, defines the relation of L (t)=L (t)-T (t), and repeats the subchannels process until the value of N becomes greater than 12 in step S207. subchannels
[67] When L (t) is less than T (t) in the previous step S205, the scheduler performs a scheduling process to service the user "a" by the amount of L (t), increases the value of N by 1 in step S206, and repeats the process of from the step of S204. subchannels
[68] While the data caused by the real-time user reside in the real-time speech buffers 110 and 120, the process of from S203 to S207 is repeated to perform the packet scheduling.
[69] When the real-time speech buffers are found empty in the previous step S202, it is checked whether the real-time video buffers are empty in step S208. In this instance, the real-time speech buffers are checked in advance of the real-time video buffers since it is needed to transmit the real-time speech data with the priority compared to the realtime video data according to the characteristics of the data.
[70] The scheduling process for the real-time video data repeats the process of from S208 to S213 in a like manner of the real-time speech data.
[71] As described, the system capacity is increased while guaranteeing the maximum packet loss rate of the real-time traffic
[72] While this invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications an equivalent arrangements included within the spirit and scope of the appended claims.
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