KR20140077649A - Method of wireless resource management considering service fairness - Google Patents

Method of wireless resource management considering service fairness Download PDF

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Publication number
KR20140077649A
KR20140077649A KR1020120146691A KR20120146691A KR20140077649A KR 20140077649 A KR20140077649 A KR 20140077649A KR 1020120146691 A KR1020120146691 A KR 1020120146691A KR 20120146691 A KR20120146691 A KR 20120146691A KR 20140077649 A KR20140077649 A KR 20140077649A
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South Korea
Prior art keywords
vector
user
present
rate
transmission rate
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KR1020120146691A
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Korean (ko)
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이주열
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한국전자통신연구원
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Priority to KR1020120146691A priority Critical patent/KR20140077649A/en
Publication of KR20140077649A publication Critical patent/KR20140077649A/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H04W28/24—Negotiating SLA [Service Level Agreement]; Negotiating QoS [Quality of Service]

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  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

there is provided a resource allocation method capable of ensuring the quality of a user's experience by allocating radio resources using a max-product algorithm. The quality factor of the user can be improved by calculating a transmission rate vector that maximizes a transmission rate product in a frequency domain where the user's channel environment is considered and allocating radio resources.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a wireless resource management method,

The present invention relates to a method for allocating radio resources in consideration of a service uniformity of a user.

In a mobile communication system, a terminal of a user who is allocated a radio resource from a base station receives a signal as shown in Equation (1).

Figure pat00001

In Equation (1)

Figure pat00002
Is a transmission signal,
Figure pat00003
User
Figure pat00004
Lt; RTI ID = 0.0 >
Figure pat00005
Lt; / RTI > represents noise,
Figure pat00006
User
Figure pat00007
Lt; / RTI >

At this time, the transmission rate of data that can be transmitted to each user

Figure pat00008
, And the vector representation of the data rate is
Figure pat00009
. According to a resource allocation scheme of a base station, a data transmission rate of each user can be changed. A set of changing data transmission rates is called a capacity region,
Figure pat00010
. At this time,
Figure pat00011
Is a concatenated channel vector,
Figure pat00012
Represents a power constraint.

Figure pat00013
An important part is a boundary region and can be expressed by Equation (2).

Figure pat00014

Conventionally, in order to improve the overall throughput

Figure pat00015
And a method of maximizing the sum-rate of a weight vector such as a weight vector is used as a resource allocation scheme. However, there is a need for a resource allocation plan that can maintain a certain quality of experience even for a user with a poor channel environment.

Therefore, in the embodiment of the present invention, a resource allocation method capable of ensuring the quality of the users' experience by allocating radio resources using a max-product algorithm is provided.

According to an aspect of the present invention, a resource scheduling method is provided in which a channel state of a user is considered. Wherein the resource scheduling method comprises the steps of: calculating a first vector having a maximum inner product with an arbitrary weight vector, calculating a second vector obtained by dividing a predetermined constant by each component of the first vector, And updating the normalized second vector with the weight vector, wherein the first vector is included in an area where the channel vector and the power limit of the channel are variable.

As described above, according to an embodiment of the present invention, a bit rate that can maximize a transmission rate product in a capacity region in which a channel environment of a user is considered can be calculated to allocate radio resources, thereby improving a user's perceived quality.

1 is a diagram illustrating a mobile communication system including a resource allocation apparatus of a base station and a terminal allocated resources from a base station according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating a process of obtaining a transmission rate vector that can maximize a product of a transmission rate according to an embodiment of the present invention.
FIG. 3 is a graph comparing a resource scheduling method of maximum transfer rate multiplication and another resource scheduling method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, a terminal is referred to as a mobile terminal (MT), a mobile station (MS), a subscriber station (SS), a portable subscriber station (PSS) an access terminal (AT), a user equipment (UE), and the like, and may include all or some of functions of MT, MS, SS, PSS,

In addition, a base station (BS) includes a node B, an evolved node B, an eNodeB, an access point (AP), a radio access station (RAS) a base transceiver station (BTS), a mobile multihop relay (MMR) -BS, or the like, and may include all or some of functions of a Node B, an eNodeB, an AP, a RAS, a BTS, and an MMR-BS.

Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise. Also, the terms " part, "" module," " module, "and " block" refer to units that process at least one function or operation, Lt; / RTI >

1 is a diagram illustrating a mobile communication system including a resource allocation apparatus of a base station and a terminal allocated resources from a base station according to an embodiment of the present invention.

Referring to FIG. 1, a resource allocation apparatus of a base station receives data from each user terminal, and each user terminal transmits a channel state with a base station to a resource allocation apparatus through a feedback channel.

The method of maximum resource-rate resource scheduling in a resource allocation apparatus according to an embodiment of the present invention can be expressed by Equation (3).

Figure pat00016

Figure pat00017
Included in
Figure pat00018
Can maximize the product of the data rate R k . The conventional maximum sum-rate resource scheduling method can be expressed by Equation (4).

Figure pat00019

That is, there is a resource scheduling method that maximizes a sum rate of a conventional user, but the resource scheduling method according to an embodiment of the present invention can maximize a product of a user's transmission rate.

FIG. 2 is a flowchart illustrating a process of obtaining a transmission rate vector that can maximize a product of a transmission rate according to an embodiment of the present invention.

Referring to Fig. 2, a transmission rate vector < RTI ID = 0.0 > (mu) < / RTI &

Figure pat00020
(S201).

Then, through Equation (5)

Figure pat00021
(S202).

Figure pat00022

At this time, the denominator of the right side of the equation (5)

Figure pat00023
Respectively. In Equation (5), the right-hand side of the numerator is represented by a constant, and in an embodiment of the present invention, it can be expressed by Equation (6).

Figure pat00024

Then, through Equation (7)

Figure pat00025
Is normalized (S203).

Figure pat00026

The weight vector < RTI ID = 0.0 >

Figure pat00027
(S204) and starts S201 again.

That is, in the downlink of mobile communication, the optimization problem can be regarded as a convex set, and a solution to a transmission rate vector can be obtained by using an iteration algorithm as shown in FIG.

Meanwhile, the solution of Equation (3) obtained by the iterative algorithm as shown in FIG. 2 satisfies Equation (7), so that the proportional fairness criterion of each user can be satisfied.

Figure pat00028

FIG. 3 is a graph comparing a resource scheduling method of maximum transfer rate multiplication and another resource scheduling method according to an embodiment of the present invention.

3 is a graph comparing data transmission rates between one base station having five antennas and five terminals having one antenna. The maximum rate sum method is a system that can show the theoretical maximum throughput without considering the fairness among users. The minimum rate guarantee method (max min-rate) is a system in which all users transmit symmetric capacity It is a system that can represent symmetric capacity.

3, the performance of the maximum rate multiplication method according to the embodiment of the present invention lies between the performance of the maximum rate summing method and the performance of the minimum rate guaranteeing method, and as the SNR increases, the maximum rate- Lt; / RTI >

As described above, according to the embodiment of the present invention, it is possible to improve the quality of the user's experience by allocating radio resources by calculating a transmission rate vector that can maximize a transmission rate product in a capacity area considering a user's channel environment.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.

Claims (1)

A resource scheduling method in which a channel state of a user is considered,
Calculating a first vector whose inner product with the arbitrary weight vector is maximized,
Calculating a second vector that is a predetermined constant divided by each component of the first vector,
Normalizing the second vector, and
Updating the normalized second vector with the weight vector
/ RTI >
Wherein the first vector is included in an area defined by a channel vector and a power limit of the channel.
KR1020120146691A 2012-12-14 2012-12-14 Method of wireless resource management considering service fairness KR20140077649A (en)

Priority Applications (1)

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KR1020120146691A KR20140077649A (en) 2012-12-14 2012-12-14 Method of wireless resource management considering service fairness

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KR20140077649A true KR20140077649A (en) 2014-06-24

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