CN105187163A - Multi-cell joint adaptive modulation coding method based on round robin scheduling - Google Patents

Multi-cell joint adaptive modulation coding method based on round robin scheduling Download PDF

Info

Publication number
CN105187163A
CN105187163A CN201510618463.9A CN201510618463A CN105187163A CN 105187163 A CN105187163 A CN 105187163A CN 201510618463 A CN201510618463 A CN 201510618463A CN 105187163 A CN105187163 A CN 105187163A
Authority
CN
China
Prior art keywords
user
base station
modulation
coding scheme
scheduling
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510618463.9A
Other languages
Chinese (zh)
Inventor
李岳衡
付高原
羌佳琳
付明浩
薛团结
贾林虎
汪成
施雪
王飞
居美艳
黄平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hohai University HHU
Original Assignee
Hohai University HHU
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hohai University HHU filed Critical Hohai University HHU
Priority to CN201510618463.9A priority Critical patent/CN105187163A/en
Publication of CN105187163A publication Critical patent/CN105187163A/en
Pending legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0002—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
    • H04L1/0003—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate by switching between different modulation schemes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0009—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the channel coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0014—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the source coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements

Abstract

The present invention discloses a multi-cell joint adaptive modulation coding method based on round robin scheduling. The method comprises the following steps of (1) calculating the user channel quality; (2) predicting the user channel quality; (3) at the current scheduling moment, enabling all base stations to schedule all users of each base station based on a round robin scheduling algorithm, and distributing the resource blocks to all users to obtain the resource scheduling lists of all base stations; (4) according to the resource scheduling lists obtained in the step (3), calculating the signal to noise ratios of all scheduled users at the current scheduling moment; (5) according to a mapping criterion between the signal to noise ratios and the modulation coding schemes, selecting the modulation coding schemes for the users. The multi-cell joint adaptive modulation coding method based on the round robin scheduling of the present invention can simulate the cofrequency interference of the users at the data transmission moment more accurately, so that the channel quality predication at the data transmission moment is more accurate, the selected modulation coding schemes can adapt to the channel states at the data transmission moment better, and the transmission performance of a system is improved effectively.

Description

A kind of multi-plot joint adaptive modulation coding method based on Round Robin
Technical field
The present invention relates to a kind of occasion that co-channel interference is more serious under multi-cell environment, between user, the adaptive modulation coding method adopted, be specifically related to a kind of multi-plot joint adaptive modulation coding method based on Round Robin, belong to Technology of New Generation Mobile Communications field.
Background technology
In a wireless communication system, wireless channel can embody time variation due to factors such as the propagation loss of signal, declines, how adaptive channel time variation and in limited bandwidth, greatly improve message transmission rate and band efficiency, then become the focus of communications field research gradually.LTE (LongTermEvolution, long-term evolution) link adaptive technique is exactly at receiving terminal, according to the channel quality information measured, adjusts data transmission parameters adaptively and carrys out match channels state, and then can improve message transmission rate.
Adaptive Modulation and Coding technology in link adaptation techniques is at receiving terminal according to the channel condition information obtained, and ensureing that certain error rate conditions lowers modulation system and the code rate of entire data transmission, its system model figure as shown in Figure 1.When channel condition is better, just adopt the Modulation and Coding Scheme of high-order, now anti-interference lower with error correcting capability, but message transmission rate is higher; When channel condition is poor, just adopt the Modulation and Coding Scheme of low order, now message transmission rate is lower, but anti-interference strong with error correcting capability.Adaptive Modulation and Coding technology can bring the raising of throughput of system undoubtedly, wherein channel quality measurement accuracy, be all affect the key factor that Adaptive Modulation and Coding performance effectively plays on the accuracy of transfer of data moment channel quality prediction, Modulation and Coding Scheme thresholding granularity of division.
Summary of the invention
For the deficiency that prior art exists, the object of the invention is to provide a kind of multi-plot joint adaptive modulation coding method based on Round Robin, the present invention can the more accurately co-channel interference of analog subscriber suffered by the transfer of data moment, thus it is more accurate to the prediction of transfer of data moment channel quality, the Modulation and Coding Scheme selected accordingly more can adapt to the channel status in transfer of data moment, effectively improves system transfers performance.
To achieve these goals, the present invention realizes by the following technical solutions:
A kind of multi-plot joint adaptive modulation coding method based on Round Robin of the present invention, comprises following step: (1) calculates user channel quality; (2) user channel quality is predicted; (3) in the current scheduling moment, all base stations based on all users under each base station of Round Robin algorithmic dispatching, and are all user resource allocation blocks, thus obtain the scheduling of resource list of all base stations gained; According to the scheduling of resource list obtained, calculate the Signal to Interference plus Noise Ratio of all users that the current scheduling moment is scheduled; (4) according to the mapping rule between Signal to Interference plus Noise Ratio and Modulation and Coding Scheme, for user selects Modulation and Coding Scheme.
In step (3), all base stations based on all users under each base station of Round Robin algorithmic dispatching, and are all user resource allocation blocks, and calculate the Signal to Interference plus Noise Ratio of all users that the current scheduling moment is scheduled, its method is as follows:
(3-1) for all base stations are numbered, and be all Customs Assigned Numbers under each base station; Initialization scheduling instance TTI=1; Research object is it can be used as from the minimum base station of numbering and user;
(3-2) scheduler is according to Round Robin algorithmic dispatching user, according to the user channel quality information that the last time records, selects the Resource Block of this user the most applicable in remaining Resource Block, i.e. the frequency allocation of the most applicable this user selection gives it;
(3-3) judge that whether Customs Assigned Number is the maximum of respective base station, if so, research base station user is numbered minimum value, then jumps to step (3-4) place, otherwise leaps to step (3-4) place;
(3-4) judge whether this scheduling instance resource distributes, if distributed, record the numbering number that this base station has assigned to Resource Block, and form this base station resource dispatch list, then step (3-6) place is jumped to, otherwise Customs Assigned Number increases 1, jumps to step (3-5) place;
(3-5) judge whether the user now studied is scheduled at this scheduling instance, if scheduled, then jumps to step (3-6) place, otherwise jumps to step (3-2) place;
(3-6) judge whether base station numbering is maximum, if, then combine all base station scheduling lists to calculate all users of being scheduled of current time and believe dry ratio, and enter next dispatching cycle, now then first to read on each base station the Customs Assigned Number that a scheduling instance is finally assigned to Resource Block, then dispatch from the user after numbering increasing 1, namely jump to step (3-2) place; Otherwise base station numbering increasing 1, Customs Assigned Number is minimum value, jumps to step (3-2) place.
In step (3-6), Signal to Interference plus Noise Ratio computing formula is as follows:
SINR c , i j , k = P c , i · T o t a l _ Gain c , i j , k · H c , i j , k Σ c 1 = 1 S _ N U M Σ i 1 = 1 U E _ N U M λ c 1 , i 1 j , k · P c 1 , i 1 · T o t a l _ Gain c 1 , i 1 j , k · H c 1 , i 1 j , k + N - - - ( 1 )
Wherein P c,ithe average transmit power of user's detectable signal under expression base station c, represent the gain of the subcarrier k of user i in the c of base station on reception antenna j, represent the multipath fading gain of the subcarrier k of user i in the c of base station on reception antenna j, for the distracter factor, work as c1=c, during i1=i, the number of users that UE_NUM arranges for each base station, S_NUM is base station number, Σ c 1 = 1 S _ N U M Σ i 1 = 1 U E _ N U M λ c 1 , i 1 j , k · P c 1 , i 1 · T o t a l _ Gain c 1 , i 1 j , k · H c 1 , i 1 j , k Represent that in the c of base station, user i is subject to the same frequency uplink interference sum of other users in different base station, N represents the white noise power that in the c of base station, in the s of sector, user i is subject to, N=N 0w sub_bandwidth, N 0for thermal noise spectral density, W sub_bandwidthfor subcarrier bandwidth.
In step (4), the mapping rule between described Signal to Interference plus Noise Ratio and Modulation and Coding Scheme is as follows:
T k = arg m a x k R k · ( 1 - Γ k ( η ) ) - - - ( 3 )
R k＝r k·log 2M k(4)
Wherein MCS selecetfor the Modulation and Coding Scheme finally selected, R kfor user data transmission speed, M kfor the modulation levels that selected kth kind Modulation and Coding Scheme is corresponding, r kfor the code rate that selected kth kind Modulation and Coding Scheme is corresponding, η is the actual Signal to Interference plus Noise Ratio value recorded, Γ k(η) for when using the Signal to Interference plus Noise Ratio value measured by kth kind Modulation and Coding Scheme to be the Block Error Rate value arrived estimated during η, for the target Block Error Rate value of defined, M is Modulation and Coding Scheme number altogether, and k is the Modulation and Coding Scheme call number selected, T kfor the data throughout when selecting kth kind Modulation and Coding Scheme.
When base station of the present invention is each user resource allocation according to Round Robin algorithm, first not for it selects Modulation and Coding Scheme, but etc. the user under all base stations be all assigned to Resource Block after recalculate the channel quality of user again according to resource allocation result, select final Modulation and Coding Scheme for each user accordingly, the Modulation and Coding Scheme now selected will be applicable to the channel status in transfer of data moment more.The federated resource allocation result Adaptive Modulation and Coding technology of carrying out can the disturbed condition of data estimator transmission time user better, thus measures more exactly user channel quality, finally can improve the throughput of whole system.Effect can be more obvious under multiple cell multi-user environment for method of the present invention.
Accompanying drawing explanation
Fig. 1 is existing Adaptive Modulation and Coding system model figure;
Fig. 2 is existing scheduling of resource key modules figure;
Fig. 3 is co-channel interference scene graph between multiple cell user;
Fig. 4 is scheduling of resource key modules figure of the present invention;
Fig. 5 is the multi-plot joint adaptive modulation coding method workflow diagram based on Round Robin of the present invention.
Embodiment
The technological means realized for making the present invention, creation characteristic, reaching object and effect is easy to understand, below in conjunction with embodiment, setting forth the present invention further.
When base station of the present invention is user resource allocation block, the user channel quality first do not predicted according to it is that respective user selects Modulation and Coding Scheme, but in all base stations such as current scheduling moment according to the complete all users of Round Robin algorithmic dispatching and for after all users distribute Resource Block, each user disturbed condition suffered by the transfer of data moment is recalculated again according to resource block assignments result, and the channel quality in transfer of data moment is predicted, then be the Modulation and Coding Scheme of each user-selected number according to transmission time accordingly.
Embodiments of the invention are under multiple cell, multi-user scene, for user selects the Modulation and Coding Scheme adapting to transfer of data moment channel status most.Co-channel interference under this scene between user should not be underestimated.Between user, the calculating of co-channel interference is the key link that user channel quality is measured, thus affects the selection of subsequent brew encoding scheme.
The Modulation and Coding Scheme in existing user data transmission moment is that the last channel quality information recorded based on user's detecting pilot frequency signal in base station is selected, and as shown in Figure 2, (1) calculates user channel quality; (2) user channel quality is predicted; (3) Resourse Distribute; (4) Modulation and Coding Scheme is selected; The co-channel interference source supposing in the channel quality now obtained is the UE in Fig. 3 2,1, UE 3,1, and in the actual data transfer moment, due to the effect of user's access/escape mechanism after system call, the interference source that user may be subject to is the UE in this figure 2,2, UE 3,3, thus the channel quality of the channel quality of reality and prediction will have certain error.When this error is larger, original Modulation and Coding Scheme selected just can not adapt to the channel status in transfer of data moment, thus can reduce the throughput of system.
See Fig. 4, consider that user affects by the Resource Block situation shared by other user in the co-channel interference in transfer of data moment, so the present invention is base station based on Round Robin algorithm is after user under all base stations distributes Resource Block, carry out the calculating of user's Signal to Interference plus Noise Ratio according to allocation result again, the Modulation and Coding Scheme that finally just completing user is corresponding upgrades.
See Fig. 5, the multi-plot joint adaptive modulation coding method based on Round Robin of the present invention, specific implementation step is as follows:
1. be all base stations numbering, and be all Customs Assigned Numbers under base station, from the minimum base station of numbering and user, it can be used as research object;
2. scheduler is according to Round-Robin Algorithm dispatched users, according to the user channel quality information that the last time records, selects the Resource Block of this user the most applicable in remaining Resource Block, i.e. the frequency allocation of the most applicable this user selection gives it;
3. judge that whether Customs Assigned Number is the maximum of respective base station, if so, be separately numbered minimum value, then jump to step 4 place, otherwise leap to step 4 place;
4. judge whether this scheduling instance resource distributes, if distributed, record the numbering number that this base station has assigned to Resource Block, and form this base station resource dispatch list, then jump to step 6 place, otherwise Customs Assigned Number increases 1, jumps to step 5 place;
5. judge whether the user now studied is scheduled at this scheduling instance, if scheduled, then jumps to step 6 place, otherwise jumps to step 2 place;
6. judge whether base station numbering is maximum, if so, then jumps to step 7 place, otherwise base station numbering increasing 1, Customs Assigned Number is minimum value, jumps to step 2 place;
7. the Signal to Interference plus Noise Ratio of current scheduling moment scheduled user is calculated according to the scheduling of resource list of all base stations gained;
8. base station according to the Signal to Interference plus Noise Ratio of respective user for it selects most suitable Modulation and Coding Scheme;
9. this scheduling instance finishing scheduling.
Next scheduling instance, first to read on each base station the Customs Assigned Number that a scheduling instance is finally assigned to Resource Block, then dispatches from the user after numbering increasing 1.
The Signal to Interference plus Noise Ratio computing formula of user is as follows in above process:
SINR c , i j , k = P c , i · T o t a l _ Gain c , i j , k · H c , i j , k Σ c 1 = 1 S _ N U M Σ i 1 = 1 U E _ N U M λ c 1 , i 1 j , k · P c 1 , i 1 · T o t a l _ Gain c 1 , i 1 j , k · H c 1 , i 1 j , k + N - - - ( 1 )
Wherein P c,ithe average transmit power of user's detectable signal under expression base station c, represent the gain of the subcarrier k of user i in the c of base station on reception antenna j, comprise path loss, antenna gain, shadow fading, wall penetration loss etc., represent the multipath fading gain of the subcarrier k of user i in the c of base station on reception antenna j, such as multipath fading, for the distracter factor, work as c1=c, during i1=i, the number of users that UE_NUM arranges for each base station, S_NUM is base station number, Σ c 1 = 1 S _ N U M Σ i 1 = 1 U E _ N U M λ c 1 , i 1 j , k · P c 1 , i 1 · T o t a l _ Gain c 1 , i 1 j , k · H c 1 , i 1 j , k Represent that in the c of base station, user i is subject to the same frequency uplink interference sum of other users in different base station, N represents the white noise power that in the c of base station, in the s of sector, user i is subject to, N=N 0w sub_bandwidth, N 0for thermal noise spectral density, value is-175dBm/Hz, W here sub_bandwidthfor subcarrier bandwidth.
Calculate channel quality, just can accordingly for user to select Modulation and Coding Scheme, the mapping rule between Signal to Interference plus Noise Ratio and Modulation and Coding Scheme is as follows:
T k = arg m a x k R k · ( 1 - Γ k ( η ) ) - - - ( 3 )
R k＝r k·log 2M k(4)
Wherein MCS selecetfor the Modulation and Coding Scheme finally selected, R kfor user data transmission speed, M kfor the modulation levels that selected kth kind Modulation and Coding Scheme is corresponding, r kfor the code rate that selected kth kind Modulation and Coding Scheme is corresponding, η is the actual Signal to Interference plus Noise Ratio value recorded, Γ k(η) for when using the Signal to Interference plus Noise Ratio value measured by kth kind Modulation and Coding Scheme to be the Block Error Rate value arrived estimated during η, for the target Block Error Rate value of defined, M is Modulation and Coding Scheme number altogether, and k is the Modulation and Coding Scheme call number selected, T kfor the data throughout when selecting kth kind Modulation and Coding Scheme.
Above mapping rule is under user meets the condition of certain Block Error Rate, for user selects the Modulation and Coding Scheme that message transmission rate can be made to reach maximum, thus throughput of system is improved.
The specific implementation process provided by above the present invention can be found out, associating Adaptive Modulation and Coding scheme based on Round Robin proposed by the invention can reduce co-channel interference predicated error between transfer of data moment multiple cell user, and then reduce user channel quality predicated error, make the Modulation and Coding Scheme of follow-up selection more can be applicable to the channel status in transfer of data moment, improve system system energy well.
More than show and describe general principle of the present invention and principal character and advantage of the present invention.The technical staff of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and specification just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.Application claims protection range is defined by appending claims and equivalent thereof.

Claims (4)

1. based on a multi-plot joint adaptive modulation coding method for Round Robin, it is characterized in that, comprise following step:
(1) user channel quality is calculated;
(2) user channel quality is predicted;
(3) in the current scheduling moment, all base stations based on all users under each base station of Round Robin algorithmic dispatching, and are all user resource allocation blocks, thus obtain the scheduling of resource list of all base stations gained; According to the scheduling of resource list obtained, calculate the Signal to Interference plus Noise Ratio of all users that the current scheduling moment is scheduled;
(4) according to the mapping rule between Signal to Interference plus Noise Ratio and Modulation and Coding Scheme, for user selects Modulation and Coding Scheme.
2. the multi-plot joint adaptive modulation coding method based on Round Robin according to claim 1, it is characterized in that, in step (3), all base stations are based on all users under each base station of Round Robin algorithmic dispatching, and be all user resource allocation blocks, calculate the Signal to Interference plus Noise Ratio of all users that the current scheduling moment is scheduled, its method is as follows:
(3-1) for all base stations are numbered, and be all Customs Assigned Numbers under each base station; Initialization scheduling instance TTI=1; Research object is it can be used as from the minimum base station of numbering and user;
(3-2) scheduler is according to Round Robin algorithmic dispatching user, according to the user channel quality information that the last time records, selects the Resource Block of this user the most applicable in remaining Resource Block, i.e. the frequency allocation of the most applicable this user selection gives it;
(3-3) judge that whether Customs Assigned Number is the maximum of respective base station, if so, research base station user is numbered minimum value, then jumps to step (3-4) place, otherwise leaps to step (3-4) place;
(3-4) judge whether this scheduling instance resource distributes, if distributed, record the numbering number that this base station has assigned to Resource Block, and form this base station resource dispatch list, then step (3-6) place is jumped to, otherwise Customs Assigned Number increases 1, jumps to step (3-5) place;
(3-5) judge whether the user now studied is scheduled at this scheduling instance, if scheduled, then jumps to step (3-6) place, otherwise jumps to step (3-2) place;
(3-6) judge whether base station numbering is maximum, if, then combine all base station scheduling lists to calculate all users of being scheduled of current time and believe dry ratio, and enter next dispatching cycle, now then first to read on each base station the Customs Assigned Number that a scheduling instance is finally assigned to Resource Block, then dispatch from the user after numbering increasing 1, namely jump to step (3-2) place; Otherwise base station numbering increasing 1, Customs Assigned Number is minimum value, jumps to step (3-2) place.
3. the multi-plot joint adaptive modulation coding method based on Round Robin according to claim 2, is characterized in that, in step (3-6), Signal to Interference plus Noise Ratio computing formula is as follows:
SINR c , i j , k = P c , i · T o t a l _ Gain c , i j , k · H c , i j , k Σ c 1 = 1 S _ N U M Σ i 1 = 1 U E _ N U M λ c 1 , i 1 j , k · P c 1 , i 1 · T o t a l _ Gain c 1 , i 1 j , k · H c 1 , i 1 j , k + N - - - ( 1 )
Wherein P c,ithe average transmit power of user's detectable signal under expression base station c, represent the gain of the subcarrier k of user i in the c of base station on reception antenna j, represent the multipath fading gain of the subcarrier k of user i in the c of base station on reception antenna j, for the distracter factor, work as c1=c, during i1=i, the number of users that UE_NUM arranges for each base station, S_NUM is base station number, represent that in the c of base station, user i is subject to the same frequency uplink interference sum of other users in different base station, N represents the white noise power that in the c of base station, in the s of sector, user i is subject to, N=N 0w sub_bandwidth, N 0for thermal noise spectral density, W sub_bandwidthfor subcarrier bandwidth.
4. the multi-plot joint adaptive modulation coding method based on Round Robin according to claim 1, is characterized in that, in step (4), the mapping rule between described Signal to Interference plus Noise Ratio and Modulation and Coding Scheme is as follows:
T k = arg m a x k R k · ( 1 - Γ k ( η ) ) - - - ( 3 )
R k＝r k·log 2M k(4)
Wherein MCS selecetfor the Modulation and Coding Scheme finally selected, R kfor user data transmission speed, M kfor the modulation levels that selected kth kind Modulation and Coding Scheme is corresponding, r kfor the code rate that selected kth kind Modulation and Coding Scheme is corresponding, η is the actual Signal to Interference plus Noise Ratio value recorded, Γ k(η) for when using the Signal to Interference plus Noise Ratio value measured by kth kind Modulation and Coding Scheme to be the Block Error Rate value arrived estimated during η, for the target Block Error Rate value of defined, M is Modulation and Coding Scheme number altogether, and k is the Modulation and Coding Scheme call number selected, T kfor the data throughout when selecting kth kind Modulation and Coding Scheme.
CN201510618463.9A 2015-09-25 2015-09-25 Multi-cell joint adaptive modulation coding method based on round robin scheduling Pending CN105187163A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510618463.9A CN105187163A (en) 2015-09-25 2015-09-25 Multi-cell joint adaptive modulation coding method based on round robin scheduling

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510618463.9A CN105187163A (en) 2015-09-25 2015-09-25 Multi-cell joint adaptive modulation coding method based on round robin scheduling

Publications (1)

Publication Number Publication Date
CN105187163A true CN105187163A (en) 2015-12-23

Family

ID=54909034

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510618463.9A Pending CN105187163A (en) 2015-09-25 2015-09-25 Multi-cell joint adaptive modulation coding method based on round robin scheduling

Country Status (1)

Country Link
CN (1) CN105187163A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111082891A (en) * 2018-10-18 2020-04-28 上海华为技术有限公司 Method for adjusting processing algorithm of wireless communication network and receiving device
CN112532347A (en) * 2020-11-03 2021-03-19 广州技象科技有限公司 Link adaptation method, device, equipment and storage medium based on transmission effect
CN113242064A (en) * 2021-05-12 2021-08-10 上海科技大学 Multi-cell scheduling method based on user spatial domain characteristics and channel prediction

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1980206A (en) * 2005-11-30 2007-06-13 上海原动力通信科技有限公司 Orthogonal frequency-division multiplexing system scheduling method
CN101478759A (en) * 2009-01-24 2009-07-08 华为技术有限公司 Method, apparatus and base station for frequency resource allocation
CN102196587A (en) * 2011-03-10 2011-09-21 东南大学 Wireless-resource-dispatching method during multi-cell cooperation in relay-aided communication system
CN102394717A (en) * 2011-06-28 2012-03-28 北京邮电大学 Self-optimizing adjusting method for modulation coding mode selection threshold value
CN103024921A (en) * 2012-12-27 2013-04-03 西安交通大学 Scheduling method based on CQI (channel quality indicator) feedback parameter and SINR (signal to interference plus noise ratio) numerical grouping

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1980206A (en) * 2005-11-30 2007-06-13 上海原动力通信科技有限公司 Orthogonal frequency-division multiplexing system scheduling method
CN101478759A (en) * 2009-01-24 2009-07-08 华为技术有限公司 Method, apparatus and base station for frequency resource allocation
CN102196587A (en) * 2011-03-10 2011-09-21 东南大学 Wireless-resource-dispatching method during multi-cell cooperation in relay-aided communication system
CN102394717A (en) * 2011-06-28 2012-03-28 北京邮电大学 Self-optimizing adjusting method for modulation coding mode selection threshold value
CN103024921A (en) * 2012-12-27 2013-04-03 西安交通大学 Scheduling method based on CQI (channel quality indicator) feedback parameter and SINR (signal to interference plus noise ratio) numerical grouping

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111082891A (en) * 2018-10-18 2020-04-28 上海华为技术有限公司 Method for adjusting processing algorithm of wireless communication network and receiving device
CN111082891B (en) * 2018-10-18 2022-07-19 上海华为技术有限公司 Method for adjusting processing algorithm of wireless communication network and receiving device
CN112532347A (en) * 2020-11-03 2021-03-19 广州技象科技有限公司 Link adaptation method, device, equipment and storage medium based on transmission effect
CN113242064A (en) * 2021-05-12 2021-08-10 上海科技大学 Multi-cell scheduling method based on user spatial domain characteristics and channel prediction

Similar Documents

Publication Publication Date Title
CN102742202B (en) Method and apparatus in wireless communication system
US20130176949A1 (en) Apparatuses and methods for allocating spectrum resources in a wireless communication network
CN102858015B (en) Multi-service scheduling method
KR20100113561A (en) Base station device and method used in mobile communication system
Parruca et al. Analytical model of proportional fair scheduling in interference-limited OFDMA/LTE networks
CN103348603A (en) Method, apparatus and system for optimizing inter-cell interference coordination
CN103826312A (en) Improved LTE (Long Term Evolution) scheduling method based on exponential rule
CN105187163A (en) Multi-cell joint adaptive modulation coding method based on round robin scheduling
CN102325375A (en) Resource allocation method and device
Sciancalepore et al. BASICS: Scheduling base stations to mitigate interferences in cellular networks
CN105611640B (en) A kind of adjustable CoMP downlink user dispatching method of equitable degree
CN109246810B (en) Uplink scheduling correction method and system based on LTE system
KR20100065075A (en) Method for controlling power for inter-cell interference removal and apparatus thereof
EP3114894B1 (en) Soft transmit point and user equipment association method for radio access virtualization
Merlhe et al. Dynamic cell-less radio access network meta-scheduler for high system capacity increase
CN104539339A (en) Resource allocation method based on SLNR (Signal to Leakage Noise Ratio) multiuser dual layer beam forming
CN110324886A (en) Ascending power control method and base station
CN116801367A (en) Cross link interference suppression method, network node and storage medium
CN104219770B (en) LTE system downlink dispatching method and device
Zhang et al. Adaptive QoS-aware resource allocation for high-speed mobile LTE wireless systems
Francis et al. Throughput-Optimal Scheduling and Rate Adaptation for Reduced Feedback Best-$ M $ Scheme in OFDM Systems
Fawaz et al. A queue-aware discrete scheduling simulator for full-duplex OFDMA wireless networks
Nguyen et al. Optimised proportional fair algorithm for long-term evolution-advanced system with multiple component carriers
CN110278609A (en) The method, apparatus and computer storage medium of link adaptation are used in communication system
TW201351940A (en) Network-centric link adaptation for coordinated multipoint downlink transmission

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20151223

RJ01 Rejection of invention patent application after publication