WO2004084565A1 - Procede de detection de collision d'acces aleatoire sur equipement multi-utilisateur - Google Patents

Procede de detection de collision d'acces aleatoire sur equipement multi-utilisateur Download PDF

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Publication number
WO2004084565A1
WO2004084565A1 PCT/CN2004/000219 CN2004000219W WO2004084565A1 WO 2004084565 A1 WO2004084565 A1 WO 2004084565A1 CN 2004000219 W CN2004000219 W CN 2004000219W WO 2004084565 A1 WO2004084565 A1 WO 2004084565A1
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Prior art keywords
correlation
window
pseudo
correlation peak
result
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PCT/CN2004/000219
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English (en)
Chinese (zh)
Inventor
Feng Li
Tiezhu Xu
Libao Zhang
Xiaolong Ran
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Da Tang Mobile Communications Equipment Co., Ltd.
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Publication of WO2004084565A1 publication Critical patent/WO2004084565A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access, e.g. scheduled or random access
    • H04W74/08—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
    • H04W74/0833—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a random access procedure
    • H04W74/0841—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a random access procedure with collision treatment

Definitions

  • the present invention relates to a wireless mobile communication technology, and more particularly, to a method for detecting a user terminal (UE) random access mobile communication system.
  • a base station applying the method can detect multiple user terminals in the same frame. Possible access conflicts in access. Background of the invention.
  • Figure 1 shows a base station (BS) and n (n is a positive integer) user terminals.
  • UE01, UE02 UEn In this mobile communication system consisting of at least one base station and a group of user terminals, using code division multiple access (CDMA) technology, if multiple user terminal uplinks (that is, from user terminal UE to base station BS)
  • CDMA code division multiple access
  • the synchronization of wireless links (1001, 1002, 100n) in the figure will greatly improve the communication performance of the entire system.
  • the 2001 and 2002 200n in the figure indicate the downlink from the base station to each user terminal.
  • the uplink synchronization of each user terminal is generally established through the following steps: (1) each user terminal sends a specific uplink synchronous random access signal on the uplink; (2 ) At the base station, the uplink timing information of each user terminal is obtained by detecting each uplink synchronous random access signal, and the base station then transmits a timing synchronization adjustment command (synchronization adjustment information) to each user terminal through a specific downlink channel (FACH); (3) Each user terminal adjusts its own timing according to this command, and accesses on a specific access channel (RACH). .
  • the uplink synchronous random access signal of each user terminal usually uses an orthogonal or quasi-orthogonal pseudo-random sequence code (PN).
  • PN pseudo-random sequence code
  • the orthogonality of the sequence code allows the base station to detect the simultaneous access of user terminals by detecting the uplink synchronization signals sent by each user terminal in the environment of a mobile channel.
  • a group (N) of orthogonal or quasi-orthogonal pseudo-random sequence codes ⁇ , m 2 ... N (vector) can be allocated To the base station, one of the pseudo-random sequence codes will be selected by one of the user terminals in the group.
  • the set of orthogonal or quasi-orthogonal pseudo-random sequence codes satisfies the following related characteristic relationships:
  • the uplink synchronous random access signal sent by the user terminal contains a pseudo-random sequence code.
  • the base station can use direct sequence convolution (linear correlation) or matched filtering, etc. using the relevant characteristics of the pseudo-random sequence code.
  • direct sequence convolution linear correlation
  • matched filtering etc.
  • a variety of mature related operation methods, and a series of corresponding judgment conditions are combined to detect the uplink synchronization signal of each user terminal.
  • a user terminal uses a randomly selected pseudo-random sequence code to access and establish a connection with a base station
  • two or more user terminals may select the same frame in the same frame.
  • the base station distinguishes each user terminal accessed in the same frame according to the pseudo-random sequence code. Therefore, when the above situation occurs, the base station cannot distinguish these users who have selected the same pseudo-random sequence code. Terminal, causing a conflict when a user terminal randomly accesses.
  • the base station If in the case of a conflict, the base station still normally responds to the user terminal in conflict, It is inevitable that reception confusion occurs between these user terminals and the base station, causing interference between the conflicting user terminals and the conflicting user terminals to other user terminals, and affecting the work of the entire system.
  • an interference-limited system such as time division-synchronous code division multiple access (TD-SCDMA)
  • TD-SCDMA time division-synchronous code division multiple access
  • the base station can accurately and effectively detect the conflicting multi-user terminal, so that the base station can handle the conflicting user terminal reasonably, and the interference caused by the conflicting user terminal can be avoided to affect the normal operation of the system. Situation, increase system capacity.
  • the purpose of the present invention is to design a method for detecting random access conflicts of multiple user terminals. Based on detecting random access user terminals, and then detecting user conflicts in access conflicts, the base station can learn that In the frame, there may be two or more user terminals that select the same pseudo-random sequence code for simultaneous access.
  • a method for detecting random access conflicts of multiple user terminals which is applied to a mobile communication system composed of at least one base station and a group of user terminals, the base station and the group
  • the user terminal uses a set of N orthogonal or quasi-orthogonal pseudo-random sequence codes as the random access of the user terminal, and detects the pseudo-random sequence code selected by each randomly accessed user terminal, where N is a positive integer, It is characterized by the following steps:
  • the base station correlates the received random access signal of the user terminal containing the pseudo random sequence code information selected by the access user terminal at the same time with a pseudo random sequence code in the local pseudo random sequence code group of the base station. Operation to obtain a corresponding correlation result window, and the correlation operation starts from any pseudo-random sequence code in the pseudo-random sequence code group and continues until all N pseudo-random sequence codes are operated;
  • step D Set a threshold for conditional comparison with the corresponding correlation result in each correlation peak window, or conditional comparison with the corresponding correlation result in the side window except the correlation peak window for each correlation result window.
  • a method for detecting random access conflicts of multiple user terminals is applied to a mobile communication system composed of at least one base station and a group of user terminals, the base station and the A group of user terminals uses a group of N orthogonal or quasi-orthogonal pseudo-random sequence codes as the random access of the user terminal, and detects the pseudo-random sequence code selected by each randomly accessed user terminal, where N is a positive integer It is characterized by including the following steps:
  • the base station correlates the received random access signal of the user terminal containing the pseudo-random sequence code information selected by the access user terminal to a pseudo-random sequence code in the local pseudo-random sequence code group of the base station at the same time. To obtain the corresponding relevant result window;
  • step D1 Set the threshold and compare the conditions with the corresponding correlation results in the correlation peak window and the correlation result window except the correlation peak window. When the conditions are met, it is determined that the pseudo-random sequence code participating in the correlation operation in step A is two. Or two or more user terminals randomly select access, and there is an access conflict.
  • the step A1 starts from any pseudo-random sequence code in the pseudo-random sequence code group to perform related operations with the random access signal of the user terminal; and when the step D1 meets or does not meet the conditions, both Return to step A1, from the pseudo-random sequence code group, select another pseudo-random sequence code different from the pseudo-random sequence code of the current operation to perform related operations with the random access signal of the user terminal until all N pseudo-random operations are completed.
  • the number N of pseudo-random sequence codes in the pseudo-random sequence code group is a variable number or a fixed number of at least 1.
  • the steps and related operations in A1 include:
  • the base station performs Fourier transform on the received access signal from the user terminal
  • the base station uses the Fourier transform result obtained in step 1) and the Fourier transform result obtained in step 2) to obtain a relevant operation result through a dot multiplication operation, and performs an inverse Fourier transform on the relevant operation result;
  • Obtaining a correlation result window in steps A1 and A1 includes: taking a norm for each element in the inverse Fourier transform result obtained in step 3), and deriving a correlation result window from the norm.
  • the norm taking includes the correlation power result or the correlation absolute amplitude result derived from the norm in the form of power or absolute amplitude.
  • the correlation operation result is obtained by performing a correlation operation including direct sequence correlation or matched filter correlation in a correlator.
  • step B and Bl ⁇ when the correlation result window in the form of power is obtained, the point with the highest power is found in the correlation power window as the correlation peak point; when the correlation result window in the form of absolute amplitude is obtained , Find the point with the largest absolute amplitude in the correlation absolute amplitude window as the correlation peak point.
  • the step ( ⁇ C1) includes: 1) giving the correlation peak window window length through the simulation process; 2) giving the relationship between the window length on both sides of the maximum correlation peak point and the correlation peak window window length through the simulation process; 3) according to Step 1) and the result of step 2), divide the position of the correlation peak window containing the maximum correlation peak point; 4) According to the result of step 3), obtain the position and size of the side window outside the correlation peak window in the correlation result window.
  • the window length on the side of the maximum correlation peak point is the window length of the correlation peak window. 1/3, the window length on the other side of the maximum correlation peak point is 2/3 of the correlation peak window window length.
  • the steps D and D1 include:
  • dll take the maximum correlation peak, and / or the effective value of the maximum correlation peak, and / or the average value of the correlation results within the correlation peak window, and / or the average effective value of the correlation results within the correlation peak window;
  • step dl3 The maximum correlation peak obtained by step dll and / or the average of the correlation results within the correlation peak window are subtracted from all correlation result values obtained by traversing step d 12 or the effective value of the maximum correlation peak obtained by step d 11 , And / or the average effective value of the correlation results within the correlation peak window is subtracted from the effective values of all the correlation results obtained in step dl2 to obtain the differences; dl4)
  • the threshold T c corresponding to each difference is set through the simulation process , And compare with each difference, when the difference is less than the threshold T c, it is determined that the condition 1 is satisfied and continue to perform the following steps; when the difference is greater than or equal to the threshold T c, it is determined that the condition 1 is not satisfied, and the execution of the following is stopped Step dl5) Count the number that meets condition 1;
  • the threshold T2 corresponding to the above number is set through the simulation process and compared with the number counted in step dl5. When the counted number is greater than the threshold T2, it is determined that the condition is satisfied, otherwise it is determined that the condition is not satisfied.
  • the invention is a method for detecting random access conflicts of multiple user terminals.
  • a wireless mobile communication system composed of at least one base station and a group of UBs
  • a set of (N) orthogonal or quasi-orthogonal pseudo-random sequence codes are allocated to the base station and the group of user terminal equipment, and each user terminal randomly One of the pseudo-random sequence codes is selected for random access.
  • two or more UBs randomly select the same pseudo-random sequence code in the same frame, a problem that the base station cannot identify each UE will occur, and a multi-UE access conflict will occur. In this case, if the base station does not detect the collision and directly responds to the UE, it will cause mutual interference between these conflicting UEs and these The interference of the conflicting UE to other UEs will seriously affect system performance.
  • an access conflict occurring when multiple UEs access the same frame can be detected, so that the system can reasonably deal with the conflicting UEs, which will avoid interference caused by the conflicting UEs and improve system performance.
  • a random access conflict of a user terminal can be detected at any time.
  • the method of the present invention makes use of the orthogonality of orthogonal or quasi-orthogonal pseudo-random sequence codes.
  • One or more pseudo-random sequence codes in a randomly selected or designated pseudo-random sequence code group performs a correlation operation (a total of N correlation operations) with each pseudo-random sequence code in the pseudo-random sequence code group, and Find the maximum correlation peak point and other correlation peak points in the results of each correlation operation among the N correlation operation results, and then compare the threshold Tc with the maximum correlation peak point or Other peak points to determine whether the two peak points are multipaths of the same UE or belong to two different UEs respectively. If it is determined that the threshold Tc is satisfied, and then the relevant peak point that satisfies the threshold T2 belongs to two different UEs, it can be determined that there is a UE random access conflict in the access signal.
  • one or more comparison thresholds may be given, which are related to the maximum correlation peak point and / or other correlation peak points other than the maximum correlation peak point and / or these correlation peak points. Compare the average value and effective value in a certain window range, and count the number of midpoints of the correlation results that exceed a certain threshold in the correlation results, and give one or more thresholds to determine the correlation result window. The time difference between the correlation result point that satisfies a given threshold and the maximum correlation peak point, determines whether the correlation result point that satisfies the given threshold is a multipath of the maximum correlation peak point or a signal from another UE.
  • FIG. 1 is a structural block diagram of a mobile communication system composed of a base station and n user terminals (UE);
  • FIG. 2 is a schematic diagram of a random access process of a user terminal
  • FIG. 4 is a schematic diagram of a division of a correlation peak window and a side window in a correlation window and a comparison with a given threshold condition.
  • the base station and each user terminal in the group of user terminals are assigned a same set of orthogonal pseudo-random sequence codes ⁇ , 2 ... mN , N is the number of orthogonal pseudo-random sequence codes in the group.
  • the base station receives a random access signal ⁇ sent by multiple UEs to multiple UEs of the base station in the same frame, and the signal includes Pseudo-random sequence code information randomly selected by each UE.
  • the maximum correlation peak point and other correlation peak points found in the correlation result are compared with a set threshold to determine whether these peak points that satisfy the comparison condition are multipath of the same UE or belong to different UEs.
  • the relevant peak point that satisfies the comparison condition belongs to multiple different UEs, it can be determined that a UE exists in the access signal Random access conflict, that is, it is determined that two or more UEs randomly select the same pseudo-random sequence code for access, and it is detected that a UE random access conflict exists.
  • one or more comparison thresholds may be given, which are related to the maximum correlation peak point and / or to other correlation peak points other than the maximum correlation peak point and / or to these correlation peak points. Compare the average and effective values of the correlation results within a certain window range, and count the number of midpoints of the correlation results that exceed a certain threshold in the correlation results, and give one or more thresholds to determine the correlation The time difference between the correlation points that satisfy a given threshold or thresholds in the result window or between these correlation points that meet the threshold or thresholds One multipath of a point is also a signal from another UE.
  • FIG. 3 an implementation process of a base station detecting a random access conflict of a user terminal is shown.
  • the conflict detection method provided by the present invention is adopted, and matching filtering is used as a correlation operation, and random access conflicts of multiple UEs are detected according to a correlation operation result.
  • Step 301 The base station receives an access signal from a user terminal in the same frame including a pseudo-random sequence code randomly selected by each user terminal, and performs Fourier transform (FFT) on the signal:
  • FFT Fourier transform
  • FFT Fourier transform
  • step 304 the base station uses a matched filtering method to perform a correlation operation on the signals ⁇ and ⁇ signals (both sequence signals) that have undergone the FFT transformation in the foregoing steps, that is, performing a dot multiplication operation to obtain a correlation operation result.
  • Step 305 the correlation operation result of inverse Fourier grief (IFFT) transform, the result is obtained (vector):
  • the correlation result window where is the correlation result window in the form of power (hereinafter only the correlation result window in the form of power is described, the correlation result window in the form of absolute amplitude has the same process);
  • Step 307 Determine the size and position of the peak point (peak) in the correlation power (or absolute amplitude) window (Pi window), the size and position of the peak window Lp (equal to L1 + L2) (Pwb and Pwe), the side window wsl, The size and position of Ws2, and the specific determination process will be described with reference to FIG. 4:
  • the window length Lp of the peak window is given by simulation.
  • the length should be set on the basis of several major multipaths that can contain the signal, and the window of the remaining side windows other than the peak window is given by simulation. Long Ws l and Ws2 ;.
  • step 308 Given a suitable threshold Tc through the simulation process, traverse all relevant power (or absolute amplitude) point values Ps ide in the side window except the peak window, and the statistics that exist in the side window (Wsl, Ws2) satisfy the following conditions Number of related power points count (when the number of statistically relevant power points that can satisfy the condition is zero, the detection can be ended, and it is not necessary to make a comparison with condition 2 in the following steps): peak-Ps ide ⁇ Tc (Condition 1);
  • Step 309 a suitable threshold T2 is given through the simulation process, and the statistical result count is compared with the given threshold T2: count> T2 (condition 2);
  • Step 310 If the above condition 2 is satisfied, it is determined that the Pside that satisfies the condition 1 is a relevant peak point of access by another UE, and there is an access conflict at this time, that is, there are two (or more than two) in the same frame. ) The UE selects the same pseudo-random sequence code for random access, and a collision occurs;
  • Steps 311 and 312, if the above condition 2 does not hold, then i i + 1 and determine whether i is less than or equal to N. When i is greater than N, it indicates that all N pseudo-random sequence codes have been operated on, and the detection ends.
  • Process when i is less than or equal to N, return to step 303, and perform the related operations shown in the corresponding steps on the next (such as i + 1) pseudo-random sequence code (step 303 related operations to N pseudo-random sequence codes, It can be performed one by one in sequence, or one by one out of sequence. The key is to operate the N pseudo-random sequence codes once).
  • condition 1 there may be multiple determinations for condition 1, and one of them may be selected or several of them may be executed to replace step 308. For example, replace peak with the average value of the relevant power points in the correlation peak window (window length L p); replace p ea k with the power RMS value at the peak point position or the power average value of the relevant power points in the correlation peak window, respectively Compare with the statistic value (instead of Ps ide) of all relevant power points outside the correlation peak window (window length L p) (side window) to obtain the number of correlation points that satisfy condition 1, and the corresponding threshold T at this time c The simulation process must be adjusted accordingly, and the threshold T2 in Condition 2 must be adjusted accordingly.
  • the average value involved can be calculated according to the length of the correlation peak window (L p); the effective value involved is the value after interference is removed.
  • the base station can process the conflicting UEs reasonably, and avoid the interference caused by the conflicting UEs from affecting the entire system.

Abstract

L'invention concerne un procédé de détection de collision d'accès aléatoire sur équipement d'utilisateur (UE), pour un système de communications mobiles comprenant une station de base et un groupe d'UE. La station de base et l'UE utilisent en tant que groupe une séquence pseudo-aléatoire N orthogonale ou quasi-orthogonale pour l'accès aléatoire. Le procédé comprend les étapes suivantes: en station de base, corrélation avec le signal d'accès aléatoire reçu en même temps que chaque séquence pseudo-aléatoire dans l'ordre, et établissement de la fenêtre de corrélation correspondante; détermination de la valeur de crête de corrélation maximum dans la fenêtre de résultat de corrélation; partition de la fenêtre de valeur de crête de corrélation et de la fenêtre de limite; établissement d'un seuil, puis comparaison avec le résultat de corrélation dans la fenêtre de limite de la fenêtre de valeur de crête de corrélation et la fenêtre de résultat de corrélation ne comprenant pas la fenêtre de valeur de crête de corrélation, et en cas de condition remplie, détermination qu'il existe plus d'un UE utilisant la séquence pseudo-aléatoire de l'opération de corrélation de la fenêtre de résultat de corrélation pour l'accès aléatoire, et qu'il existe un problème de collision d'accès pour les deux ou plus de deux UE sélectionnant la même séquence pseudo-aléatoire dans la même trame pour l'accès à la même station de base.
PCT/CN2004/000219 2003-03-18 2004-03-18 Procede de detection de collision d'acces aleatoire sur equipement multi-utilisateur WO2004084565A1 (fr)

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CN 03119189 CN1275489C (zh) 2003-03-18 2003-03-18 一种用于检测多用户终端随机接入冲突的方法
CN03119189.4 2003-03-18

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WO2008145454A1 (fr) * 2007-05-28 2008-12-04 Telefonaktiebolaget Lm Ericsson (Publ) Détection de collision à accès aléatoire
CN110139392A (zh) * 2019-05-06 2019-08-16 安徽继远软件有限公司 Lte电力无线专网随机接入信道多重冲突检测方法
CN111371718A (zh) * 2018-12-26 2020-07-03 深圳市力合微电子股份有限公司 一种无线通信系统的非循环前导信号生成方法

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CN100401660C (zh) * 2005-11-29 2008-07-09 中兴通讯股份有限公司 一种用户终端随机接入的检测方法
CN101248593B (zh) * 2005-12-05 2011-11-23 中兴通讯股份有限公司 一种提高用户接入率的随机接入检测冲突后处理的方法
CN100499869C (zh) * 2006-05-24 2009-06-10 华为技术有限公司 一种终端设备接入方法及系统
CN101174884B (zh) * 2006-11-02 2012-03-14 中兴通讯股份有限公司 时分同步码分多址接入系统的随机接入方法
CN101141142B (zh) * 2007-08-09 2010-12-29 中兴通讯股份有限公司 减少上行同步检测漏检的方法
CN102340884B (zh) * 2010-07-26 2015-06-03 中兴通讯股份有限公司 一种防止随机接入冲突的基站及方法
CN104349492B (zh) * 2013-07-24 2018-03-09 华为技术有限公司 随机接入方法及装置

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WO2008145454A1 (fr) * 2007-05-28 2008-12-04 Telefonaktiebolaget Lm Ericsson (Publ) Détection de collision à accès aléatoire
CN111371718A (zh) * 2018-12-26 2020-07-03 深圳市力合微电子股份有限公司 一种无线通信系统的非循环前导信号生成方法
CN111371718B (zh) * 2018-12-26 2022-10-14 深圳市力合微电子股份有限公司 一种无线通信系统的非循环前导信号生成方法
CN110139392A (zh) * 2019-05-06 2019-08-16 安徽继远软件有限公司 Lte电力无线专网随机接入信道多重冲突检测方法
CN110139392B (zh) * 2019-05-06 2022-11-25 安徽继远软件有限公司 Lte电力无线专网随机接入信道多重冲突检测方法

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