CN102098792A - Service quality-based resource round-robin scheduling method - Google Patents

Service quality-based resource round-robin scheduling method Download PDF

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CN102098792A
CN102098792A CN201110071305.8A CN201110071305A CN102098792A CN 102098792 A CN102098792 A CN 102098792A CN 201110071305 A CN201110071305 A CN 201110071305A CN 102098792 A CN102098792 A CN 102098792A
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user
sir
home enodeb
resource block
resource
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CN102098792B (en
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杨清海
李东
刘语乔
吕潇潇
傅丰林
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Xidian University
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Abstract

The invention discloses a service quality-based resource round-robin scheduling method. The method comprises the following steps that: (1) a macro base station divides the frequency band of the whole system into a frequency band special for a femtocell, a frequency band special for a macrocell, and a frequency band shared by the femtocell and the macrocell; (2) the resource allocation priority of a user is determined according to the service quality requirement of the user; (3) the round-robin scheduling is performed on the femtocell user and the macro user until the frequency band special for the femtocell and the frequency band special for the macrocell are completely allocated; and (4) a frequency spectrum resource is not allocated to the macro user and the femtocell user by round-robin scheduling, and a certain frequency band is allocated to the scheduled user from the shared frequency band until the shared frequency band is completely allocated. In the method, the service quality requirement of the user using different services is referenced, and the frequency spectrum is allocated to the high-priority user, so that the high-quality resource block meeting the signal to interference ratio (SIR) requirement is obtained, the utilization of the frequency spectrum is more reasonable, and the resource utilization rate is improved. Therefore, the system throughput is improved.

Description

Quality-of-service based poll resource regulating method
Technical field
The present invention relates to wireless communication technology field, further relate under a kind of situation of disposing Home eNodeB in grand network, the poll resource regulating method based on user's different business QoS requirement can be used in the LTE+ system.
Background technology
In the next generation mobile communication long evolving system,, adopted various scheduling of resource modes to avoid interference the raising power system capacity in order to solve the interference management problem behind the Home eNodeB of having disposed in the grand network.Wherein, polling dispatching method is widely used in the scheduling of resource process because of it has simple, the fair characteristics of realization.For example, Shen Jia etc. in " 3GPP Long Term Evolution (LTE) know-why and system design " People's Telecon Publishing House disclosed a kind of polling dispatching method in 2008 11 months.The concrete steps of this method are: the first, new user's sign is inserted into the afterbody of waiting list; The second, from waiting list, select the user who makes number one to serve; The 3rd, the user who accepts service is moved to the afterbody of waiting list.This method is called circularly to the user of each request service, and from the scheduling probability, each user takies Service Source with same probability.During each the scheduling, do not consider the situation that the user was serviced in the past.
From above-mentioned steps as can be seen, polling dispatching method looks like fair method concerning the user, but because the resource allocation of this method is unreasonable, has influenced the efficient of transfer of data.This mainly is because only be to serve according to the user that user's queuing order is simply chosen head of the queue to choosing of service-user in second step, when if head of the queue subscriber channel condition is bad, also can obtain the user identical service good with channel condition, message transmission rate at this time slot is just lower so, thereby has influenced the throughput of system.And certain user's channel condition is when better, can not get scheduling in again may be long-time, so just caused wireless resource allocation unreasonable, influenced the throughput of system.
Summary of the invention
The objective of the invention is to overcome existing polling dispatching method and do not distinguish subscriber channel condition quality, it is the deficiency of simple in-order scheduling, a kind of quality-of-service based poll resource regulating method that can be applicable to dispose in the Home eNodeB Cellular Networks system is provided, Home eNodeB user and Hong user are determined to dispatch behind the priority of resource allocation according to its quality of service requirement again, reach the purpose that improves throughput of system.
The present invention includes following steps:
(1) system spectrum segmentation: macro base station is divided into the special-purpose frequency range of Home eNodeB with the whole system frequency range, the special-purpose frequency range of macrocell and Home eNodeB and macrocell shared band.
(2) ask user SIR lower bound: the SIR lower bound of different user is asked according to the QoS of customer requirement of using different business in the base station according to the computing formula of user SIR lower bound;
SIR LOW＝f -1(η k)
Wherein, SIR LOWThe SIR lower bound of expression user k, f -1(η kThe ln of)=-(1-η k 1/M), M is each packet bit number; At f -1(η kThe ln of)=-(1-η k 1/M) in, λ k=r k/ M, λ kThe number of the expression packet that transmission arrives each second, each packet is Mbits;
Figure BSA00000458120400022
τ kBe the transmission time of the packet that sends to user k, R kBe the speed of user's transmits data packets, D kThe upper bound of expression average delay comprises formation time delay and propagation delay time.
(3) determine spectrum allocation may priority: the SIR lower bound ordering from big to small according to different user obtains the ordering to the priority of different user spectrum allocation may.
(4) polling dispatching Home eNodeB user and Hong user
4a) polling dispatching Home eNodeB user: the SIR that calculates each Resource Block in the special-purpose frequency range of the corresponding Home eNodeB of Home eNodeB user according to the SIR computing formula of Home eNodeB user l on Resource Block n successively, if satisfy the SIR lower bound requirement in the step (2), then choose the corresponding Resource Block that makes the SIR maximum, till the special-purpose frequency allocation of Home eNodeB is intact.
The SIR computing formula of Home eNodeB user l on Resource Block n:
SIR l ( n ) = P t ′ · PL l ′ Σ k = 1 , k ≠ l L P t ′ · PL lk ′ · x nk + P t · PL l · y n
Wherein, P ' tBe the transmitting power of Home eNodeB on Resource Block n, PL ' lBe the path loss of Home eNodeB l to Home eNodeB user l in its sub-district, PL ' LkBe the path loss of Home eNodeB k to Home eNodeB user l, x NkFor judging the factor, if Home eNodeB k has used Resource Block n, then x Nk=1, on the contrary x Nk=0.
4b) the grand user of polling dispatching: the SIR that calculates each Resource Block in the special-purpose frequency range of the corresponding macrocell of grand user according to the SIR computing formula of grand user m on Resource Block n successively, if satisfy the SIR lower bound requirement in the step (2), then choose the corresponding Resource Block that makes the SIR maximum, till the special-purpose frequency allocation of macro base station is intact.
The SIR computing formula of grand user m on Resource Block n:
SIR m ( n ) = P t · PL m Σ l = 1 L P t ′ · PL ml ′ · x nl
Wherein, P tBe the transmitting power of macro base station on Resource Block n, PL mBe the path loss of macro base station to grand user m, P ' tBe the transmitting power of Home eNodeB on Resource Block n, PL ' MlBe the path loss of Home eNodeB l to grand user m, x NlFor judging the factor, if Home eNodeB has used Resource Block n, then x Nl=1, on the contrary x Nl=0.
(5) user of the unallocated resource of polling dispatching: to the grand user and the Home eNodeB user of remaining unallocated frequency spectrum resource, respectively according to grand user m in SIR computing formula on the Resource Block n and Home eNodeB user l the SIR computing formula on Resource Block n calculate the SIR of each Resource Block in the corresponding shared band successively, preferentially satisfy the bigger user of SIR lower bound, selection makes the pairing Resource Block of SIR maximum, till shared band distributes.
The present invention's following advantage of having compared with existing polling dispatching method:
The first, the present invention makes spectrum utilization more reasonable.When family's base station number of users increased, existing polling dispatching method was all chosen a data user with equal opportunity at every turn and is dispatched, but resource utilization is not high.The present invention distributes frequency spectrum for earlier the higher user of priority by with reference to the QoS of customer requirement of using different business, can make them be met the high-quality resource piece that its SIR requires, and makes its spectrum utilization more reasonable.
The second, improved power system capacity.That existing polling dispatching method uses is the user of sequential scheduling request service, and resource utilization is not high.The present invention improves resource utilization than existing polling dispatching method, thereby has improved throughput of system by using quality-of-service based poll resource regulating method.
Description of drawings
Fig. 1 is a flow chart of the present invention;
Fig. 2 uses the analogous diagram of the user throughput of c service for the present invention and prior art;
Fig. 3 uses the analogous diagram of the user throughput of b service for the present invention and prior art;
Fig. 4 uses the analogous diagram of the user throughput of A service for the present invention and prior art;
Fig. 5 uses the analogous diagram of three class service-user total throughouts for the present invention and prior art.
Embodiment
In conjunction with Fig. 1 implementation step of the present invention is further described.
Step 1: system spectrum segmentation
Macro base station is divided into the special-purpose frequency range of Home eNodeB with the whole system frequency range, the special-purpose frequency range of macrocell and Home eNodeB and macrocell shared band.
Macro base station calculates frequency band division length according to the number of users of macrocell and home base station cells.The special-purpose frequency range length of macrocell is: 2ca/3 (a+b); The special-purpose frequency range length of home base station cells is: 2cb/3 (a+b); Shared band length is: 1c/3.Wherein c is total frequency range length, and a is the macrocell number of users, and b is the home base station cells number of users.
After the whole system frequency range is divided into three frequency ranges, because Home eNodeB user and Hong user have its special-purpose frequency range separately, so the interference between two kinds of users has also reduced.
Step 2: ask user SIR lower bound
The base station requires to ask according to the computing formula of user SIR lower bound the SIR lower bound of different user according to the QoS of customer that uses different business.
The quality of service requirement of user k is (r k, D k), r wherein kThe expression base station sends to the average source speed of user k, D kThe upper bound of expression average delay, D kComprise formation time delay and propagation delay time.
Ask the computing formula of user SIR lower bound to be: SIR LOW=f -1(η k)
Wherein, SIR LOWThe SIR lower bound of expression user k.
f -1(η kThe ln of)=-(1-η k 1/M), M is each packet bit number.
At f -1(η kThe ln of)=-(1-η k 1/M) in,
Figure BSA00000458120400051
λ k=r k/ M, λ kThe number of the expression packet that transmission arrives each second, each packet is Mbits.
Figure BSA00000458120400052
τ kBe the transmission time of the packet that sends to user k.R kSpeed for user's transmits data packets.D kThe upper bound of expression average delay comprises formation time delay and propagation delay time.
Ask the method for user SIR lower bound to be equally applicable to grand user and two kinds of situations of Home eNodeB user in this step.
Step 3: determine spectrum allocation may priority
SIR lower bound ordering from big to small according to different user obtains the ordering to the priority of different user spectrum allocation may.The SIR lower bound is big more to show that this user is high more to the requirement of Resource Block, and priority is also just high more.
Step 4: polling dispatching Home eNodeB user and Hong user
4a) polling dispatching Home eNodeB user
Calculate the SIR of each Resource Block in the special-purpose frequency range of the corresponding Home eNodeB of Home eNodeB user successively according to the SIR computing formula of Home eNodeB user l on Resource Block n, if satisfy the SIR lower bound requirement in the step 2, then choose the corresponding Resource Block that makes the SIR maximum, till the special-purpose frequency allocation of Home eNodeB is intact.
The SIR computing formula of Home eNodeB user l on Resource Block n:
SIR l ( n ) = P t ′ · PL l ′ Σ k = 1 , k ≠ l L P t ′ · PL lk ′ · x nk + P t · PL l · y n
Wherein, P ' tBe the transmitting power of Home eNodeB on Resource Block n;
PL ' lBe the path loss of Home eNodeB l to Home eNodeB user l in its sub-district;
PL ' LkBe the path loss of Home eNodeB k to Home eNodeB user l;
x NkFor judging the factor, if Home eNodeB k has used Resource Block n, then x Nk=1, on the contrary x Nk=0;
P tBe the transmitting power of macro base station on Resource Block n;
PL lBe the path loss of macro base station to Home eNodeB user l;
y nFor judging the factor, if macro base station has used Resource Block n, then y n=1, on the contrary y n=0.
4b) the grand user of polling dispatching
Calculate the SIR of each Resource Block in the special-purpose frequency range of the corresponding macrocell of grand user successively according to the SIR computing formula of grand user m on Resource Block n, if satisfy the SIR lower bound requirement in the step 2, then choose the corresponding Resource Block that makes the SIR maximum, till the special-purpose frequency allocation of macro base station is intact.
The SIR computing formula of grand user m on Resource Block n:
SIR m ( n ) = P t · PL m Σ l = 1 L P t ′ · PL ml ′ · x nl
Wherein, P tBe the transmitting power of macro base station on Resource Block n;
PL mBe the path loss of macro base station to grand user m;
P ' tBe the transmitting power of Home eNodeB on Resource Block n;
PL ' MlBe the path loss of Home eNodeB l to grand user m;
x NlFor judging the factor, if Home eNodeB has used Resource Block n, then x Nl=1, on the contrary x Nl=0.
Step 5: the user of the unallocated resource of polling dispatching
When the special-purpose frequency range of macrocell and the special-purpose frequency range frequency spectrum resource of Home eNodeB all provide frequency spectrum resource can't for each user, will produce a part of remaining users.Grand user and Home eNodeB user to remaining unallocated frequency spectrum resource, respectively according to grand user m in SIR computing formula on the Resource Block n and Home eNodeB user l the SIR computing formula on Resource Block n calculate the SIR of each Resource Block in the corresponding shared band successively, preferentially satisfy the bigger user of SIR lower bound, selection makes the pairing Resource Block of SIR maximum, till shared band distributes.
Implementation result of the present invention can be described further by following emulation:
Simulated conditions:
In order to verify validity of the present invention, itself and traditional polling method are carried out emulation relatively, respectively the throughput of three kinds of service throughput and entire system has been carried out the emulation contrast.Simulation parameter is chosen as shown in the table:
Figure BSA00000458120400081
The emulation content:
Under same QoS of customer requires, the power system capacity of method of the present invention and existing polling dispatching method is compared.
There is A in the emulation, B, three kinds of business of C, every kind of professional corresponding QoS of customer requires to be respectively:
Category-A: r (A)=5kbps, D (A)=10ms;
Category-B: r (A)=50kbps, D (A)=50ms;
C class: r (A)=150kbps, D (A)=1000ms.
According to the professional institute of this three class requirement, can obtain the needed SIR lower bound of user of this three classes business of use respectively.Can be in the hope of A, B, the SIR lower limit of C three class business is respectively: 3.6631,4.3104,5.8540, i.e. 5.6385dB, 6.3452dB, 7.6745dB.The priority that can know three class business thus is followed successively by: C, B, A.
A user's throughput can be obtained with shannon formula:
C user = Σ n = 1 N B 0 · log 2 ( 1 + SIR n ) · z n
When the user uses this Resource Block n, z n=1; Otherwise z n=0.The throughput of macrocell and home base station cells is exactly its user's of serving a throughput sum.
Simulation result:
Fig. 2, Fig. 3, Fig. 4 is respectively C, B, the user of A service uses the comparison of throughput of the present invention and existing polling dispatching method throughput curve, and is apparent, and throughput of the present invention is higher than the throughput of existing polling dispatching method, after the raising of throughput makes the present invention can be adapted to dispose Home eNodeB in the grand network, the situation that different service types user source speed is different.
Fig. 5 is for using the comparison of the present invention and three kinds of service-user throughputs of polling dispatching method sum, and is apparent, and throughput of the present invention is apparently higher than the throughput of existing polling dispatching method.

Claims (3)

1. a quality-of-service based poll resource regulating method comprises the steps:
(1) system spectrum segmentation: macro base station is divided into the special-purpose frequency range of Home eNodeB with the whole system frequency range, the special-purpose frequency range of macrocell and Home eNodeB and macrocell shared band;
(2) ask user SIR lower bound: the SIR lower bound of different user is asked according to the QoS of customer requirement of using different business in the base station according to the computing formula of user SIR lower bound;
SIR LOW＝f -1(η k)
Wherein, SIR LOWThe SIR lower bound of expression user k, f -1(η kThe ln of)=-(1-η k 1/M), M is each packet bit number; At f -1(η kThe ln of)=-(1-η k 1/M) in,
Figure FSA00000458120300011
λ k=r k/ M, λ kThe number of the expression packet that transmission arrives each second, each packet is Mbits; τ kBe the transmission time of the packet that sends to user k, R kBe the speed of user's transmits data packets, D kThe upper bound of expression average delay comprises formation time delay and propagation delay time;
(3) determine spectrum allocation may priority: the SIR lower bound ordering from big to small according to different user obtains the ordering to the priority of different user spectrum allocation may;
(4) polling dispatching Home eNodeB user and Hong user
4a) polling dispatching Home eNodeB user: the SIR that calculates each Resource Block in the special-purpose frequency range of the corresponding Home eNodeB of Home eNodeB user according to the SIR computing formula of Home eNodeB user l on Resource Block n successively, if satisfy the SIR lower bound requirement in the step (2), then choose the corresponding Resource Block that makes the SIR maximum, till the special-purpose frequency allocation of Home eNodeB is intact;
The SIR computing formula of Home eNodeB user l on Resource Block n:
SIR l ( n ) = P t ′ · PL l ′ Σ k = 1 , k ≠ l L P t ′ · PL lk ′ · x nk + P t · PL l · y n
Wherein, P ' tBe the transmitting power of Home eNodeB on Resource Block n, PL ' lBe the path loss of Home eNodeB l to Home eNodeB user l in its sub-district, PL ' LkBe the path loss of Home eNodeB k to Home eNodeB user l, x NkFor judging the factor, if Home eNodeB k has used Resource Block n, then x Nk=1, on the contrary x Nk=0;
4b) the grand user of polling dispatching: the SIR that calculates each Resource Block in the special-purpose frequency range of the corresponding macrocell of grand user according to the SIR computing formula of grand user m on Resource Block n successively, if satisfy the SIR lower bound requirement in the step (2), then choose the corresponding Resource Block that makes the SIR maximum, till the special-purpose frequency allocation of macro base station is intact;
The SIR computing formula of grand user m on Resource Block n:
SIR m ( n ) = P t · PL m Σ l = 1 L P t ′ · PL ml ′ · x nl
Wherein, P tBe the transmitting power of macro base station on Resource Block n, PL mBe the path loss of macro base station to grand user m, P ' tBe the transmitting power of Home eNodeB on Resource Block n, PL ' MlBe the path loss of Home eNodeB l to grand user m, x NlFor judging the factor, if Home eNodeB has used Resource Block n, then x Nl=1, on the contrary x Nl=0;
(5) user of the unallocated resource of polling dispatching: to the grand user and the Home eNodeB user of remaining unallocated frequency spectrum resource, respectively according to grand user m in SIR computing formula on the Resource Block n and Home eNodeB user l the SIR computing formula on Resource Block n calculate the SIR of each Resource Block in the corresponding shared band successively, preferentially satisfy the bigger user of SIR lower bound, selection makes the pairing Resource Block of SIR maximum, till shared band distributes.
2. require described quality-of-service based poll resource regulating method according to right 1, it is characterized in that, the system spectrum segmentation method is the number of users calculating frequency band division length of macro base station according to macrocell and home base station cells in the described step (1).
3. require described quality-of-service based poll resource regulating method according to right 1, it is characterized in that, the QoS of customer of different business requires to comprise user's the average source speed and the average delay upper limit in the described step (2).
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102378386A (en) * 2011-12-14 2012-03-14 吉林大学 Wireless resource scheduling method of LTE (Long Term Evolution) uplink
CN102711122A (en) * 2012-06-01 2012-10-03 哈尔滨工业大学 Femtocell interference suppression method combining with frequency spectrum distribution and power control
CN102739299A (en) * 2012-06-28 2012-10-17 东南大学 Switching method of uplink receiving scheme mode for long term evolution home eNodeB
WO2013131257A1 (en) * 2012-03-07 2013-09-12 Renesas Mobile Corporation Methods and apparatuses for facilitating multiple operator coordination for transmissions in an unlicensed band
CN103458525A (en) * 2012-06-01 2013-12-18 北京邮电大学 Method and device for scheduling policy selection in heterogeneous network
CN104320786A (en) * 2014-10-29 2015-01-28 清华大学 Low-complexity Femtocell spectrum resource distribution method based on cognition
WO2015172275A1 (en) * 2014-05-12 2015-11-19 华为技术有限公司 Downlink signal transmission method, base station and user equipment
CN106470424A (en) * 2015-08-19 2017-03-01 中兴通讯股份有限公司 A kind of spectrum resource sharing method in heterogeneous network, apparatus and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101697628A (en) * 2009-10-23 2010-04-21 北京邮电大学 Method for distributing downlink dynamic resources in hybrid network of macrocell and femtocell
WO2010068628A1 (en) * 2008-12-11 2010-06-17 Ntt Docomo Inc. Method for interference-minimizing resource block-size selection at a macrocell, a microcell and a femtocell
CN101917770A (en) * 2010-08-10 2010-12-15 北京邮电大学 Interference suppression method for home base station

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010068628A1 (en) * 2008-12-11 2010-06-17 Ntt Docomo Inc. Method for interference-minimizing resource block-size selection at a macrocell, a microcell and a femtocell
CN101697628A (en) * 2009-10-23 2010-04-21 北京邮电大学 Method for distributing downlink dynamic resources in hybrid network of macrocell and femtocell
CN101917770A (en) * 2010-08-10 2010-12-15 北京邮电大学 Interference suppression method for home base station

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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WO2013131257A1 (en) * 2012-03-07 2013-09-12 Renesas Mobile Corporation Methods and apparatuses for facilitating multiple operator coordination for transmissions in an unlicensed band
CN102711122B (en) * 2012-06-01 2014-12-03 哈尔滨工业大学 Femtocell interference suppression method combining with frequency spectrum distribution and power control
CN102711122A (en) * 2012-06-01 2012-10-03 哈尔滨工业大学 Femtocell interference suppression method combining with frequency spectrum distribution and power control
CN103458525B (en) * 2012-06-01 2017-06-16 北京邮电大学 Scheduling strategy system of selection and device in heterogeneous network
CN103458525A (en) * 2012-06-01 2013-12-18 北京邮电大学 Method and device for scheduling policy selection in heterogeneous network
CN102739299B (en) * 2012-06-28 2014-09-10 东南大学 Switching method of uplink receiving scheme mode for long term evolution home eNodeB
CN102739299A (en) * 2012-06-28 2012-10-17 东南大学 Switching method of uplink receiving scheme mode for long term evolution home eNodeB
WO2015172275A1 (en) * 2014-05-12 2015-11-19 华为技术有限公司 Downlink signal transmission method, base station and user equipment
CN105264994A (en) * 2014-05-12 2016-01-20 华为技术有限公司 Downlink signal transmission method, base station and user equipment
CN104320786A (en) * 2014-10-29 2015-01-28 清华大学 Low-complexity Femtocell spectrum resource distribution method based on cognition
CN104320786B (en) * 2014-10-29 2017-12-26 清华大学 A kind of Home eNodeB frequency spectrum resource allocation method based on cognition of low complex degree
CN106470424A (en) * 2015-08-19 2017-03-01 中兴通讯股份有限公司 A kind of spectrum resource sharing method in heterogeneous network, apparatus and system

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