CN108039940A - A kind of invalid CCE elimination methods of LTE system PDCCH - Google Patents
A kind of invalid CCE elimination methods of LTE system PDCCH Download PDFInfo
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- CN108039940A CN108039940A CN201711192937.3A CN201711192937A CN108039940A CN 108039940 A CN108039940 A CN 108039940A CN 201711192937 A CN201711192937 A CN 201711192937A CN 108039940 A CN108039940 A CN 108039940A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0053—Allocation of signaling, i.e. of overhead other than pilot signals
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- 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
- H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
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- 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
- H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
- H04L1/0026—Transmission of channel quality indication
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- 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
- H04L1/0036—Systems modifying transmission characteristics according to link quality, e.g. power backoff arrangements specific to the receiver
- H04L1/0039—Systems modifying transmission characteristics according to link quality, e.g. power backoff arrangements specific to the receiver other detection of signalling, e.g. detection of TFCI explicit signalling
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/20—Control channels or signalling for resource management
- H04W72/23—Control channels or signalling for resource management in the downlink direction of a wireless link, i.e. towards a terminal
Abstract
The present invention discloses the invalid CCE elimination methods of LTE system PDCCH a kind of, and key step includes first initializing；Secondly, the CCE sum C, algorithm the false dismissed rate α, power parameter σ of default that input present sub-frame control area includes1 2, determine validation checking threshold value λopt；Again, the corresponding CCE sequences ies of indexing parameter c are inputtedc；Then, y is calculatedcIn all 36 input data yc,iParameter wc,i, add up sequences ycIn all data parameter wc,i, the characteristic value w of acquisition CCE validation checkingsc, judge invalid CCE sequences and reject；Until effective CCE that CCE resource retrievals finish, and output retains after tested.The present invention can effectively control false dismissed rate, it is ensured that effective CCE will not be rejected by mistake, and the false alarm rate of algorithm and false dismissed rate all relatively have hard decision algorithm and greatly improve, and the rejecting for invalid CCE in PDCCH are realized, to accelerate the blind examination process of PDCCH.
Description
Technical Field
The invention belongs to the field of wireless communication, relates to optimization of physical layer downlink control channel (PDCCH) analysis of a 4GLTE system, and particularly relates to an invalid CCE removing method of a PDCCH of an LTE system.
Background
In the LTE system, a Physical Downlink Control Channel (PDCCH) is mainly used to send downlink and uplink scheduling information and send an aperiodic CQI report request, and information carried by the PDCCH is called Downlink Control Information (DCI). One PDCCH can only carry DCI of a certain format, and one cell can simultaneously schedule multiple UEs (user equipment) in uplink and downlink, so that one cell can simultaneously send multiple PDCCHs to different UEs on one subframe. For the UE, PDCCH detection is important for real-time processing of system information, because the speed of PDCCH detection affects the reaction speed of LTE downlink control. Nevertheless, since the UE is agnostic to the format and location of the required DCI information, a maximum number of 44 blind detection attempts are required for PDCCH detection, and the mechanism of blind detection greatly increases the PDCCH detection time.
The PDCCH is allocated resources in units of CCEs (control channel elements), and the CCEs are also basic elements for mapping DCI onto the PDCCH when the PDCCH is multiplexed. If there are unused resources between the multiplexed PDCCHs, a < NIL > element is padded, which is mapped on a subcarrier and is padded with 0. The CCE to which DCI information is mapped is referred to herein as an effective CCE, which is fixedly modulated with QPSK. The CCE without DCI information mapped is called invalid CCE.
The LTE system defines in advance, for each UE, a PDCCH candidate set that may carry the DCI information to be monitored, referred to as a search space of the UE, according to the user ID. The UE attempts to decode each PDCCH candidate in the set according to the DCI format to be monitored until the required DCI information is obtained. However, it is meaningless to detect the PDCCH candidates without DCI information mapped, so that the search space can be effectively reduced by removing invalid control resources, i.e. invalid CCEs, in the search space before the blind detection, and the number of attempts required for PDCCH blind detection is reduced. At present, an energy detection method based on hard decision is usually adopted for removing invalid CCE, hard decision is carried out on single-bit information, and then the validity of a CCE signal sequence is determined through k-rank fusion decision. The method can effectively eliminate invalid CCE signal sequences under certain channel conditions, but still has the problems that: firstly, the current method cannot control the detection false alarm rate along with the change of the channel condition, namely, cannot control the situation that the valid CCE is erroneously judged to be invalid CCE for elimination, and the loss of the valid CCE will cause the error of the current subframe analysis of the receiving end UE. Especially, the alarm-missing rate of the algorithm is too high under the condition of poor channel condition, and the delay and power consumption of the system are increased; another problem is that the hard decision itself cannot fully utilize the probability information of data in the whole CCE, and the false alarm rate are higher than those of the soft decision.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides an invalid CCE (control channel element) removing method for a PDCCH (physical downlink control channel) of an LTE (long term evolution) system, and provides a soft-decision detection method based on a Neyman-Pearson criterion.
The technical scheme of the invention is as follows: an invalid CCE elimination method of a PDCCH of an LTE system comprises the following steps:
s1: initializing CCE index parameter c =0;
s2: inputting the total number C of CCE contained in the control area of the current subframe, the algorithm set by the system, the alarm-missing rate alpha and the power parameter sigma 1 2 ；
S3: according to the false-alarm rate alpha and the power parameter sigma 1 2 Determining a validity detection threshold lambda opt ；
S4: inputting CCE sequence y corresponding to index parameter c c ；
S5: calculating y c All 36 input data y c,i Parameter w of c,i ＝y c,i 2 ，i＝0,1,…,35；
S6: accumulation sequence y c Power value w of all data in c,i Obtaining the characteristic value w of CCE validity detection c (ii) a S7: if w c >λ opt Determination of sequence y c Is a valid CCE sequence; if w c <λ opt Determination of the sequence y c Eliminating invalid CCE sequences;
s8: if C = C-1, it indicates that the CCE resources in the current user equipment search space have been detected, skipping to step 9, otherwise, adding 1 to the index parameter C to point to the next CCE sequence to be detected and skipping to step S4;
s9: and outputting the valid CCE reserved after detection.
C =42 for the UE-specific search space in said step S2; for common search space, C =32.
The validity detection threshold λ in the step S3 opt Reckoning according to equation (1):
wherein: sigma 1 2 ＝E s σ h 2 +σ n 2 ，E s In the form of energy of QPSK modulated signals, sigma h Denotes the standard deviation, σ, of the channel gain in the frequency domain n 2 Representing the average power of the channel noise.
The characteristic value w of the validity detection in the step S6 c Calculated from equation (2):
wherein: y is c,i And i is more than or equal to 0 and less than or equal to 35, and represents the ith channel resource data in the c CCE in the current subframe.
Compared with the prior art, the invention has the advantages that: aiming at the problem that invalid CCEs existing on a PDCCH of an LTE system can increase the time delay and power consumption of PDCCH analysis, a soft-decision invalid CCE removing method based on Neyman-Pearson criterion NP criterion is provided. Compared with the existing method, the method can effectively control the false alarm rate, ensure that the effective CCE cannot be mistakenly removed, greatly improve the false alarm rate and the false alarm rate of the algorithm compared with the existing hard decision algorithm, realize the removal of the invalid CCE in the PDCCH, and accelerate the blind detection process of the PDCCH:
1) The user can artificially set the false alarm rate alpha according to the system requirements, the false alarm is the situation of rejecting the valid CCE errors to be determined as invalid CCE, and the loss of the valid CCE can cause the errors of the current subframe analysis of the receiving end. By setting the false-alarm rate alpha, the invention can limit the probability of false-alarm-missing errors to an extremely low value alpha acceptable by the system under various signal-to-noise ratios.
2) The method adopts a soft decision mode, does not need to perform hard decision on each data in the CCE and then determines the validity of the CCE according to a hard decision result, and has no probability information loss in the soft decision process, so that the false alarm rate and the false alarm rate of the method are greatly reduced compared with the existing hard decision removing method under the same signal-to-noise ratio. Fig. 2 and fig. 3 show the variation curves of the false alarm rate (false alarm rate) with the SNR of the two detection algorithms under the same false alarm rate (false alarm rate), respectively, and it can be found that the false alarm rate (false alarm rate) of the soft-decision detection method proposed by the present invention is greatly reduced compared with the original hard-decision method under the condition of poor channel conditions.
The signal-to-noise ratio SNR in fig. 2 and 3 can be determined by equation (3).
Drawings
FIG. 1 is a flow chart of the present invention.
Fig. 2 is a comparison curve of the false alarm rate of the soft decision detection algorithm and the hard decision detection algorithm of the present invention as a function of SNR under the same condition of the false alarm rate.
Fig. 3 is a comparison curve of the variation of the false alarm rate of the soft decision detection algorithm and the hard decision detection algorithm of the present invention with the SNR under the same false alarm rate condition.
Detailed Description
The invention is further illustrated by the following examples and the accompanying drawings. The examples are intended to better enable those skilled in the art to better understand the present invention and are not intended to limit the present invention in any way.
As shown in fig. 1, the following describes the algorithm flow by taking CCE resource availability detection of a UE-specific search space of 4G LTE user equipment as an example. A UE-specific search space of a certain user equipment contains 42 CCEs, corresponding to indices c =0, c =1, \ 8230;, c =41.
S1: initializing CCE index parameter c =0;
s2: inputting the total number 42 of CCEs contained in the control area of the current subframe, the algorithm false-alarm rate alpha set by the system and the power parameter sigma 1 2 ；
S3: according to the alarm leakage rate alpha and the power parameter sigma 1 2 Determining a validity detection threshold lambda opt ；
S4: inputting the CCE sequence y corresponding to the index parameter c c ；
S5: calculating y c All 36 input data y c,i Parameter w of c,i ＝y c,i 2 I =0,1, \ 8230;, 35, in this case the parameter w c,i Is the power of the input data;
s6: accumulation sequence y c Power value w of all data in c,i Obtaining the characteristic value w of CCE validity detection c (ii) a S7: if w c >λ opt Determination of the sequence y c Is a valid CCE sequence; if w c <λ opt Determination of the sequence y c Eliminating invalid CCE sequences;
s8: if c =41, it indicates that all CCE resources in the UE specific search space of the current UE have been completely detected, the step jumps to step S9, otherwise, the index parameter c plus 1 points to the next CCE sequence to be detected and jumps to step 4;
s9: and outputting the effective CCE reserved after detection.
For the common search space, the above method flow is basically the same, only C =32 in step S2, and the other steps are the same.
In step S2, the parameter α is a false-positive rate of the detection algorithm, that is, a probability that the invalid CCE culling algorithm determines that the valid CCE is invalid. Since the missing alarm error will cause the loss of valid CCE data, and the subsequent blind test cannot find the needed DCI, the value needs to be artificially set according to the system requirements and input into the detection algorithm, so as to ensure that the value is low enough to meet the system reliability requirements.
In the above step S2, the power parameter σ 1 2 ＝E s σ h 2 +σ n 2 ，E s In the form of energy of QPSK modulated signals, σ h Denotes the standard deviation, σ, of the channel gain in the frequency domain n 2 Representing the average power of the channel noise.
The validity detection threshold λ in step S3 above opt Calculated by formula (1)
Wherein: sigma 1 2 ＝E s σ h 2 +σ n 2 ，E s In the form of energy of QPSK modulated signals, σ h Denotes the standard deviation, σ, of the channel gain in the frequency domain n 2 Representing the average power of the channel noise.
Since the formula (1) cannot be simplified to λ opt So that the actual application can be realized by a table look-up method, such as by using different false alarm rate alpha and parameter sigma 1 2 A binary look-up table is constructed.
In step S6, the feature value w of validity detection c Corresponding to the CCE sequence y c Total power of (d);
in step S6, the feature value w of validity detection c Calculated from equation (2):
wherein: y is c,i Represents the ith channel resource data in the c CCE in the current subframe, i is more than or equal to 0 and less than or equal to 35
In step S9, after the validity detection of the CCE in the specific search space of the UE is completed, the screened search space data is sent to the subsequent PDCCH blind inspection module, and at this time, the blind inspection module only needs to detect the candidate containing the valid CCE, so as to accelerate the blind inspection.
Fig. 2 and fig. 3 compare the performance of the detection method proposed by the present invention with the original hard decision method. The probability of false alarm and false alarm is compared, wherein the false alarm rate means that the detection algorithm wrongly detects the invalid CCE as the valid CCE and reserves the valid CCE, and the false alarm rate means that the detection algorithm wrongly detects the valid CCE as the invalid CCE and deletes the valid CCE. Since the hard decision algorithm cannot control the false alarm rate alpha of the algorithm by setting the parameter, in order to compare the performance, the invention sets the false alarm rate of the proposed soft decision method to be consistent with the original hard decision method by adjusting the parameter alpha, and compares the false alarm rates of the two methods, and the result is shown in fig. 2.
It can be seen that, especially in the case of a low SNR, the false alarm rate of the present invention is significantly reduced compared to the original method, for example, in the case of SNR = -2dB and the false alarm rate is 0.15, the false alarm rates of the detection method based on hard decision and the detection method based on soft decision are about 0.11 and 0.02, respectively, and the soft decision detection method proposed by the present invention reduces the occurrence of false alarms by 88% compared to the hard decision method.
In the comparison of fig. 3, the false alarm rate of the present invention is set to be consistent with the original hard decision method, and the corresponding decision threshold λ' is determined by formula (3), where P is F As false alarm rate, σ 0 2 ＝σ n 2 . Comparing two corresponding false alarm rates, the soft decision method of the invention has greatly reduced false alarm rate compared with the original method under the condition of the same false alarm, especially under the condition of low signal-to-noise ratio. The false alarm rate is 0.11 for a hard decision based detection method and a soft decision based detection method with SNR = -2dB, the false alarm rate is about 0.15 and 0.05, respectively, and the soft decision based detection proposed hereinThe harder decision method of the algorithm reduces 67% of the occurrence of false alarm.
It should be understood that the embodiments and examples discussed herein are illustrative only and that modifications or changes in light thereof will be suggested to persons skilled in the art and are to be included within the purview of the appended claims.
Claims (4)
1. An invalid CCE removing method for PDCCH of LTE system is characterized by comprising the following steps:
s1: initializing CCE index parameter c =0;
s2: inputting the total number C of CCE contained in the control area of the current subframe, the algorithm set by the system, the alarm-missing rate alpha and the power parameter sigma 1 2 ；
S3: according to the alarm leakage rate alpha and the power parameter sigma 1 2 Determining a validity detection threshold lambda opt ；
S4: inputting CCE sequence y corresponding to index parameter c c ；
S5: calculating y c All 36 input data y c,i Parameter w of c,i ＝y c,i 2 ，i＝0,1,…,35；
S6: accumulation sequence y c Power value w of all data in c,i Obtaining the characteristic value w of CCE validity detection c ；
S7: if w c >λ opt Determination of the sequence y c Is a valid CCE sequence; if w c <λ opt Determination of sequence y c Eliminating invalid CCE sequences;
s8: if C = C-1, it indicates that the CCE resources in the current user equipment search space have been detected, skipping to step 9, otherwise, adding 1 to the index parameter C to point to the next CCE sequence to be detected and skipping to step S4;
s9: and outputting the effective CCE reserved after detection.
2. The method according to claim 1, characterized in that in step S2 for the UE-specific search space, C =42; for common search space, C =32.
3. Method according to claim 1, characterized in that in step S3 a threshold value λ of validity detection is applied opt Reckoning according to equation (1):
wherein: sigma 1 2 ＝E s σ h 2 +σ n 2 ，E s In the form of energy of QPSK modulated signals, sigma h Denotes the standard deviation, σ, of the channel gain in the frequency domain n 2 Representing the average power of the channel noise.
4. The method according to claim 1, characterized in that the characteristic value w of the validity check in step S6 c Calculated by the formula (2)
Wherein: y is c,i And i is more than or equal to 0 and less than or equal to 35, and represents the ith channel resource data in the c CCE in the current subframe.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109673056A (en) * | 2019-03-11 | 2019-04-23 | 重庆邮电大学 | PDCCH adaptive blind detection method in 5G system based on power measurement |
| CN111211872A (en) * | 2020-01-09 | 2020-05-29 | 重庆邮电大学 | PDCCH blind detection method for SNR mean value feedback and CCEs energy judgment in 5G |
| CN114598439A (en) * | 2022-05-09 | 2022-06-07 | 广州世炬网络科技有限公司 | PDCCH blind detection method, terminal and storage medium for 5G communication system |
| CN114826488A (en) * | 2022-05-09 | 2022-07-29 | 山东闻远通信技术有限公司 | PDCCH blind detection method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110255631A1 (en) * | 2010-04-20 | 2011-10-20 | Samsung Electronics Co., Ltd. | Methods and apparatus for fast synchronization using tail biting convolutional codes |
| US20130010741A1 (en) * | 2010-06-12 | 2013-01-10 | Zte Corporation | Method and device for transmitting control format indicator value |
| CN103731236A (en) * | 2012-10-15 | 2014-04-16 | 普天信息技术研究院有限公司 | Blind detection method for physical downlink control channel |
| CN106707273A (en) * | 2017-01-23 | 2017-05-24 | 西安电子科技大学 | Method for detecting multi-station radar signal fusion based on Neyman-Pearson rule digitalizing |
-
2017
- 2017-11-24 CN CN201711192937.3A patent/CN108039940B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110255631A1 (en) * | 2010-04-20 | 2011-10-20 | Samsung Electronics Co., Ltd. | Methods and apparatus for fast synchronization using tail biting convolutional codes |
| US20130010741A1 (en) * | 2010-06-12 | 2013-01-10 | Zte Corporation | Method and device for transmitting control format indicator value |
| CN103731236A (en) * | 2012-10-15 | 2014-04-16 | 普天信息技术研究院有限公司 | Blind detection method for physical downlink control channel |
| CN106707273A (en) * | 2017-01-23 | 2017-05-24 | 西安电子科技大学 | Method for detecting multi-station radar signal fusion based on Neyman-Pearson rule digitalizing |
Non-Patent Citations (4)
| Title |
|---|
| 周游: "低复杂度PDCCH盲检测算法", 《计算机应用研究》 * |
| 李小文: "一种LTE系统中减少PDCCH盲检次数的方法", 《通信与网络》 * |
| 李小文: "优化PDCCH盲检测的功率检测法的实现", 《PＲOCESS AUTOMATION INSTＲUMENTATION》 * |
| 陈波: "TD_LTE中一种高效的PDCCH盲检测算法", 《通信热点》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109673056A (en) * | 2019-03-11 | 2019-04-23 | 重庆邮电大学 | PDCCH adaptive blind detection method in 5G system based on power measurement |
| CN109673056B (en) * | 2019-03-11 | 2022-04-05 | 重庆邮电大学 | PDCCH (physical Downlink control channel) adaptive blind detection method based on power measurement in 5G (third generation) system |
| CN111211872A (en) * | 2020-01-09 | 2020-05-29 | 重庆邮电大学 | PDCCH blind detection method for SNR mean value feedback and CCEs energy judgment in 5G |
| CN111211872B (en) * | 2020-01-09 | 2022-03-11 | 重庆邮电大学 | PDCCH blind detection method for SNR mean value feedback and CCEs energy judgment in 5G |
| CN114598439A (en) * | 2022-05-09 | 2022-06-07 | 广州世炬网络科技有限公司 | PDCCH blind detection method, terminal and storage medium for 5G communication system |
| CN114598439B (en) * | 2022-05-09 | 2022-07-29 | 广州世炬网络科技有限公司 | PDCCH blind detection method, terminal and storage medium for 5G communication system |
| CN114826488A (en) * | 2022-05-09 | 2022-07-29 | 山东闻远通信技术有限公司 | PDCCH blind detection method and device |
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