CN108039940B - Invalid CCE (control channel element) removing method for PDCCH (physical downlink control channel) of LTE (long term evolution) system - Google Patents

Invalid CCE (control channel element) removing method for PDCCH (physical downlink control channel) of LTE (long term evolution) system Download PDF

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CN108039940B
CN108039940B CN201711192937.3A CN201711192937A CN108039940B CN 108039940 B CN108039940 B CN 108039940B CN 201711192937 A CN201711192937 A CN 201711192937A CN 108039940 B CN108039940 B CN 108039940B
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李雨朦
刘强
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Tianjin University
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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
    • 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
    • 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
    • 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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    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
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    • H04W72/20—Control channels or signalling for resource management
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Abstract

The invention discloses an invalid CCE (control channel element) removing method of a PDCCH (physical downlink control channel) of an LTE (long term evolution) system, which mainly comprises the steps of initializing firstly; secondly, inputting the total number C of CCE contained in the control area of the current subframe, the algorithm alarm-missing rate alpha set by the system and the power parameter sigma1 2Determining a validity detection threshold lambdaopt(ii) a Thirdly, inputting the CCE sequence y corresponding to the index parameter cc(ii) a Then, y is calculatedcAll 36 input data yc,iParameter w ofc,iThe accumulated sequence ycParameter w of all data inc,iObtaining the characteristic value w of CCE validity detectioncJudging invalid CCE sequences and removing the invalid CCE sequences; and outputting the effective CCE reserved after detection until the CCE resource retrieval is finished. The invention can effectively control the false alarm rate, ensure that the effective CCE can not be mistakenly removed, greatly improve the false alarm rate and the false alarm rate of the algorithm compared with the prior hard decision algorithm, and realize the removal of the ineffective CCE in the PDCCH so as to accelerate the blind detection process of the PDCCH.

Description

Invalid CCE (control channel element) removing method for PDCCH (physical downlink control channel) of LTE (long term evolution) system
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 transmit downlink and uplink scheduling information and to transmit an aperiodic CQI report request, and information carried by the PDCCH is called Downlink Control Information (DCI). One PDCCH can only carry one DCI of a certain format, and one cell can simultaneously schedule multiple UEs (user equipments) in uplink and downlink, so that one cell can simultaneously transmit multiple PDCCHs to different UEs in 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 configured to perform resource allocation in CCE (control channel element) units, and the CCE is also a basic element for mapping DCI onto the PDCCH in PDCCH multiplexing. 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 a CCE index parameter c to be 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 sigma1 2；
S3: according to the false-alarm rate alpha and the power parameter sigma1 2Determining a validity detection threshold lambdaopt；
S4: inputting CCE sequence y corresponding to index parameter cc；
S5: calculating ycAll 36 input data yc,iParameter w ofc,i＝yc,i 2，i＝0,1,…,35；
S6: accumulation sequence ycPower value w of all data inc,iObtaining the characteristic value w of CCE validity detectionc(ii) a S7: if wc>λoptDetermination of the sequence ycIs a valid CCE sequence; if wc<λoptDetermination of the sequence ycEliminating invalid CCE sequences;
s8: if C is equal to C-1, it indicates that the CCE resource in the current ue search space has been detected, step 9 is skipped, otherwise, the index parameter C plus 1 points to the next CCE sequence to be detected, and step S4 is skipped;
s9: and outputting the valid CCE reserved after detection.
For the UE-specific search space in said step S2, C-42; for the common search space, C-32.
The validity detection threshold λ in step S3optReckoning according to equation (1):
Figure BDA0001481409670000031
wherein: sigma1 2＝Esσh 2+σn 2，EsIn the form of energy of QPSK modulated signals, σhDenotes the standard deviation, σ, of the channel gain in the frequency domainn 2Representing the average power of the channel noise.
The feature value w of the validity detection in the step S6cCalculated from equation (2):
Figure BDA0001481409670000032
wherein: y isc,iAnd 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 the power consumption of the PDCCH analysis, a soft-decision invalid CCE removing method based on a Neyman-Pearson criterion (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) of the two detection algorithms along with the SNR 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).
Figure BDA0001481409670000041
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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 varying with the SNR under the same condition of the false alarm rate.
Fig. 3 is a comparison curve of the variation of the false-alarm rate with the SNR of the soft-decision detection algorithm and the hard-decision detection algorithm of the present invention under the same false-alarm rate condition.
Detailed Description
The invention is further illustrated by the following specific 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. The UE-specific search space of a certain UE includes 42 CCEs, and the corresponding index c is 0, c is 1, …, and c is 41.
S1: initializing a CCE index parameter c to be 0;
s2: inputting the total number 42 of CCEs contained in the control region of the current subframe, the algorithm leakage alarm rate alpha set by the system and a power parameter sigma1 2；
S3: according to the false-alarm rate alpha and the power parameter sigma1 2Determining a validity detection threshold lambdaopt；
S4: inputting CCE sequence y corresponding to index parameter cc；
S5: calculating ycAll 36 input data yc,iParameter w ofc,i＝yc,i 2I is 0,1, …,35, when the parameter w isc,iIs the power of the input data;
s6: accumulation sequence ycPower value w of all data inc,iObtaining the characteristic value w of CCE validity detectionc(ii) a S7: if wc>λoptDetermination of the sequence ycIs a valid CCE sequence; if wc<λoptDetermination of the sequence ycEliminating invalid CCE sequences;
s8: if c is 41, it indicates that all CCE resources in the UE-specific search space of the current UE have been completely detected, step S9 is skipped, otherwise, the index parameter c plus 1 points to the next CCE sequence to be detected, and step 4 is skipped;
s9: and outputting the valid CCE reserved after detection.
For the common search space, the above method flow is basically the same, only step S2 is C ═ 32, and other steps are the same.
In step S2, the parameter α is the false alarm rate of the detection algorithm, that is, the probability that the invalid CCE culling algorithm determines that the valid CCE is invalid. Since the missing alarm error will cause the loss of effective CCE data, and the subsequent blind test cannot find the required DCI, the value needs to be manually 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 requirement.
In the above step S2, the power parameter σ1 2＝Esσh 2+σn 2，EsIn the form of energy of QPSK modulated signals, σhDenotes the standard deviation, σ, of the channel gain in the frequency domainn 2Representing the average power of the channel noise.
The validity detection threshold λ in step S3 described aboveoptIs calculated by the formula (1)
Figure BDA0001481409670000051
Wherein: sigma1 2＝Esσh 2+σn 2，EsIn the form of energy of the QPSK modulated signal,σhdenotes the standard deviation, σ, of the channel gain in the frequency domainn 2Representing the average power of the channel noise.
Since the formula (1) cannot be simplified to λoptThe direct solution form of (2) can be realized by a table look-up method in practical application, such as different false alarm rates alpha and parameters sigma1 2A binary look-up table is constructed.
In step S6, the feature value w of validity detectioncCorresponding to the CCE sequence ycTotal power of (d);
in step S6, the feature value w of validity detectioncCalculated from equation (2):
Figure BDA0001481409670000061
wherein: y isc,iRepresents 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 UE specific search space 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 achieve the purpose of accelerating the blind inspection, and the acceleration effect depends on the utilization rate of the PDCCH resource at the sending end.
Fig. 2 and fig. 3 compare the performance of the detection method proposed by the present invention with the relationship of 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 under the condition of low SNR, the false alarm rate of the present invention is significantly reduced compared to the original method, for example, under the condition that SNR is-2 dB and the false-missing 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 provided by the present invention reduces the occurrence of 88% of false alarms compared with the hard decision detection 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 isFAs false alarm rate, σ0 2＝σn 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. In the case that the SNR is-2 dB and the false alarm rate is 0.11, the false alarm rates of the hard decision-based detection method and the soft decision-based detection method are about 0.15 and 0.05, respectively, and the soft decision-based detection algorithm proposed herein reduces 67% of the false alarm occurrences by the hard decision-based detection method.
Figure BDA0001481409670000071
It should be understood that the embodiments and examples discussed herein are illustrative only and that various modifications or changes in light thereof will be suggested to persons skilled in the art and are to be included within the spirit and purview of this application and scope of the appended claims.

Claims (3)

1. An invalid CCE removing method for PDCCH of LTE system is characterized by comprising the following steps:
s1: initializing a CCE index parameter c to be 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 sigma1 2；
S3: according to the false-alarm rate alpha and the power parameter sigma1 2Determining a validity detection threshold lambdaopt；
S4: inputting CCE sequence y corresponding to index parameter cc；
S5: calculating ycAll 36 input data yc,iParameter w ofc,i＝yc,i 2，i＝0,1,…,35；
S6: accumulation sequence ycPower value w of all data inc,iObtaining the characteristic value w of CCE validity detectionc；
S7: if wc>λoptDetermination of the sequence ycIs a valid CCE sequence; if wc≤λoptDetermination of the sequence ycEliminating invalid CCE sequences;
s8: if C is equal to C-1, it indicates that the CCE resource in the current ue search space has been detected, step 9 is skipped, otherwise, the index parameter C plus 1 points to the next CCE sequence to be detected, and step S4 is skipped;
s9: outputting the effective CCE reserved after detection;
the validity detection threshold λ in step S3optReckoning according to equation (1):
Figure FDA0002627629700000011
wherein: sigma1 2＝Esσh 2+σn 2，EsIn the form of energy of QPSK modulated signals, σhDenotes the standard deviation, σ, of the channel gain in the frequency domainn 2Representing the average power of the channel noise.
2. The method according to claim 1, wherein the feature value w of the validity check in step S6cCalculated by the formula (2)
Figure FDA0002627629700000021
Wherein: y isc,iAnd 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.
3. The method according to claim 1, wherein in step S2, for the UE-specific search space, C-42; for the common search space, C-32.
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