CN107018114A - A kind of SCMA code books blind estimating method - Google Patents

A kind of SCMA code books blind estimating method Download PDF

Info

Publication number
CN107018114A
CN107018114A CN201710137731.4A CN201710137731A CN107018114A CN 107018114 A CN107018114 A CN 107018114A CN 201710137731 A CN201710137731 A CN 201710137731A CN 107018114 A CN107018114 A CN 107018114A
Authority
CN
China
Prior art keywords
code book
node
message
sent
code
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.)
Granted
Application number
CN201710137731.4A
Other languages
Chinese (zh)
Other versions
CN107018114B (en
Inventor
杨延军
赵玉萍
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.)
Peking University
Original Assignee
Peking University
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 Peking University filed Critical Peking University
Priority to CN201710137731.4A priority Critical patent/CN107018114B/en
Publication of CN107018114A publication Critical patent/CN107018114A/en
Priority to PCT/CN2017/114303 priority patent/WO2018161654A1/en
Application granted granted Critical
Publication of CN107018114B publication Critical patent/CN107018114B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/32Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
    • H04L27/34Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
    • H04L27/38Demodulator circuits; Receiver circuits
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/004Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045Arrangements at the receiver end
    • H04L1/0055MAP-decoding

Abstract

The invention discloses a kind of SCMA code books blind estimating method.This method is:1) usage factor figure represents SCMA resource impact situation, wherein, using each code book as a variable node, each resource block represents that the code book will take connected resource block and send data between code book and resource block as a function node comprising line;For each code book, one initial confidence level vector is set;2) user equipment (UE) first sends a preamble information before time/frequency source block is fixed as defined in LTE protocol sending the data of oneself;3) receiving terminal estimates whether each code book has user to use and using the number of users of the code book according to specifying the preamble information received in time/frequency source block and the factor graph to estimate code book service condition.The user data for the part that do not conflict can be successfully decoded in the case where there is code book conflict by the present invention.

Description

A kind of SCMA code books blind estimating method
Technical field
The invention belongs to digital communicating field, be related to a kind of SCMA (Sparse Code Multiple Access, it is sparse Encode multiple access access) code book blind estimating method, more particularly to the estimation side during SCMA is accessed to code book service condition Method.
Background technology
SCMA is a kind of new multiple access technique based on spread spectrum coding, and it combines low-density coding (LDS, Low Density Signature) and multi-dimensional constellation diagram modulation, by selecting different code books, allow different users in anon-normal Accessed in the case of friendship.Under same resources supplIes, SCMA technologies can support more users to connect, and even more than pass The spreading ratio of system CDMA technology, therefore have good prospect in the Internet of Things application for needing magnanimity to connect.
The research in the literature to SCMA technologies assumes receiving terminal to UE (User Equipment, Yong Hushe mostly at present It is standby) distribution situation of code book is, it is known that then using the MPA of suboptimum, (Message Passing Algorithm, message transmission is calculated Method) the transmission data of user are demodulated.If to UE code book Unknown Distribution, must use and combine code book detection Multiple UE this not only adds the complexity of MPA algorithms, and can not be have selected same code book by JMPA (joint MPA) algorithm Situation handled.
In actual system, UE number and the time for sending data are all unknown, therefore the mistake demodulated in SCMA Which code book Cheng Zhong, have used, if has multiple UE to have selected same code book, and these information will be during demodulation Estimated.
The content of the invention
For technical problem present in prior art, object of the present invention is to provide in a kind of SCMA schemes upper The blind estimating method that row channel is detected to UE code book service condition.This method need UE send the data of oneself it Before, a bit of determination information is first sent as lead code.The design of lead code does not have not special requirement, can use arbitrary Bit stream is used as lead code.If the modulation system of transmitting terminal selection is not permanent envelope, can try one's best choosing when designing lead code Select the big constellation point of energy.
Receiving terminal is estimated UE code book service condition using preamble information using MPA algorithms, that is, estimates every Whether one code book has user to use, and the use of the number of users of this code book is how many.The estimated information of code book can be to follow-up Decoding process is simplified, and the amount of calculation of decoding algorithm, but follow-up decoding side are reduced in the case where not reducing decoding performance Case is not the core content of the present invention.The result that this method is estimated code book, can use same code to different users This situation is detected that discovery code book as early as possible conflicts, and provides follow-up decoding foundation, but how to use the present invention's Estimated result is not the core content of the present invention.
The alternative that SCMA technologies communicate as 5G, main application scenarios are mobile communication, and the present invention is follow-up Example and illustrate be all on the premise of not particularly pointing out under the framework of LTE protocol carry out.Random in mobile communication connects During entering, because base station is all unknown to UE situation, code book blind estimating method proposed by the present invention can be used to UE Code book service condition estimated.To achieve these goals, the technical scheme is that:
1. in transmitting terminal, each UE is required for obtaining up synchronization according to the reference signal of down channel first, when having When data will be sent, foregoing lead code is sent first fixing time/frequency source block as defined in agreement, oneself is then retransmited Data.The preamble content of transmission can be any known array, sequence length most it is short be a symbol length, lead code sequence The length of row is according to estimating that the demand of accuracy rate is determined.
2. in receiving terminal, due to the characteristic of Stochastic accessing, receiver may receive multiple in specified time/frequency source block UE sends the superposition of lead code, may be by MPA algorithms for each symbol received and the distribution situation of UE code books is entered Row estimation, specific algorithm details will be described in detail later.
3. if the length of UE lead codes is a symbol, according to step 2, each symbol that receives can estimate one The value of the confidence level of code book distribution situation, when the length of lead code is multiple symbols, can be folded multiple estimated results Plus, to improve the degree of accuracy of code book estimation.
In the step 2, it is assumed that all UE to receiving terminal channel is all awgn channel, UE can be according to down channel Reference signal adjusts transmission power, to ensure that the signal power for the signal arrival receiver that each UE is sent is roughly equal.
In the step 2, MPA algorithms according to actual UE deployment scenarios, can adjust the estimation range of code book.For example can be with Limit each code book and at most have 2 UE selections, be at least no UE selections.
SCMA demodulation divide into two parts by SCMA code books distribution situation algorithm for estimating proposed by the present invention:Code book is estimated Meter and code word demodulation.The invention mainly relates to the part of code book estimation, it is with reduction that estimation is individually carried out to code book service condition The cost of spectrum efficiency obtains the simplification of decoding algorithm, it is possible to reduce to a certain extent due to caused by code book conflict The bit error rate rises.
Compared with prior art, the positive effect of the present invention is:
1. propose a kind of new code book usable condition algorithm for estimating.
2. in the case where there is code book conflict, the user data for the part that do not conflict can be successfully decoded.
Brief description of the drawings
Fig. 1 is flow chart of the method for the present invention;
Fig. 2 is the factor graph for the SCMA schemes that present example is used;
Fig. 3 is the planisphere that present example is used;
(a) it is No. 0 planisphere, (b) is No. 1 planisphere, (c) is No. 2 planispheres;
Fig. 4 is the situation map of the different codebook selecting planispheres of present example;
Fig. 5 is the graph of a relation of preamble length and estimation accuracy rate.
Embodiment
The flow of the present invention to algorithm for estimating described in the invention as shown in figure 1, below in conjunction with an example, carry out Clear, complete description.It is understood that described example is only a part of example of the present invention, rather than all Embodiment.Based on the embodiment in the present invention, those skilled in the art are obtained under the premise of creative work is not made Every other embodiment, belong to the scope of protection of the invention.
The preparatory condition of this example is as follows:
1.SCMA resource impact situation can be represented with usage factor figure.As shown in Fig. 2 one has 6 code books, take 4 resource blocks.Fig. 2 is a factor graph, and code book (circular node) is variable node, and resource block (square nodes) is function section Point.Represent that this code book will take this resource block and send data comprising line between code book node and resource block.What Fig. 2 was represented The each code book of factor graph sends data on 2 resource blocks, and each resource block includes the data investigation of 3 code books.
2.UE is modulated using QPSK schemes to the lead code of transmission, and a symbol includes two binary digits, is not having In the case of having code book conflict, according to the structure of factor graph, each resource block is up to the superposition of 3 QPSK symbols.
3. assume that be up to 2 users select same code book
In condition 1 described above, each SCMA decoding unit is 4 reception symbols, in situation about conflicting without code book The transmission data of 6 users of lower at most correspondence.
In condition 2 described above, the planisphere that UE is used can carry out appropriate rotation so that be superimposed on resource block The anglec of rotation of QPSK symbols is different.Fig. 3 is 3 planispheres used in this example, and No. 1 and No. 2 planispheres are respectively to 0 Number planisphere have rotated π/6 and π/3.Fig. 4 illustrates the planisphere situation that each code book is selected in coding.Above code book node Two numerals indicate the planisphere sequence number that this code book is used on different resource block, and the numeral below resource node is May planisphere sequence number used in three symbols of superposition on this node.The order and resource node and code of sequence number in figure Putting in order for this node is identical.
Now according to symbol and factor graph is received, specific code book is estimated that MPA arthmetic statements are as follows:
1.6 code book node 6 variable nodes of correspondence, 4 receive symbol 4 function nodes of correspondence.
2. initial confidence level vector assumes that all codebook selectings are all equiprobable, i.e., for each code book, all may be used There can be three kinds of situations:There is no UE selections;There is 1 UE selection;There are 2 UE selections.The probability of initial situation each case is all 1/ 3。
3. by function node the message of variable node such as following formula is sent to represent
Side bi-directional of the message transmitted in factor graph along factor graph, the content of transmission is the different values of variable node Probability.In the case of in this example, this probability is the vector of a 3-dimensional This variable node (i.e. corresponding code book) is represented respectively, and the probability of 2 UE selections is selected, there is 1 UE selection and had without UE. Footnote k in formula represents k-th of variable node of correspondence, and footnote n represents n-th of function node.
Above in formulaRepresent for k-th of variable node Vk(i.e. k-th code book), in the l times iteration When there is i UE to have selected the probability of this code book.This probability is by n-th of function node FnIt is sent to k-th of variable section Point VkMessage, it is according to from except VkOther be connected to function node FnVariable node VjThe message sended overCalculate and.Computational methods are exactly the part on the right of formula equal sign, and it is calculated in n nodes according to complete general formula The value of upper k variables is qkiWhen, other nodes all may situation probability superposition.WhereinRepresentative function section Point FnOn the symbol R that receivesnThe data vector sent out with each case (is usedRepresent) between Euclidean distance.Multiplication Part will be connected to this function node F to allnOther variable nodes VjTraveled through, and part of summing will be to all The combination of the value condition (i.e. codebook selecting situation) of these nodes is traveled through.
If calculated in log-domain, and utilize Jacobian formula log (ea+eb) ≈ max (a, b), it is possible to upper The simplified formula in face is:
4. by variable node the message of function node such as following formula is sent to represent
It is similar with step 3, the message of function node is sent to from variable nodeEqually it is taking for variable node It is worth probability vector.It summarizes the message (i.e. probability) that other function nodes are sended over, but due to being independent event respectively, because This final result is obtained by these probability multiplications.If equally calculated in log-domain, multiplication can be reduced to addition:
5. the content of iterative process repeat step 3 and step 4, the highest iterations until reaching agreement.
6. obtaining final probability value finally according to the message received on variable node, the maximum use of probable value is chosen Amount is exported as the result of this algorithm.The result finally obtained is 6 n dimensional vector ns, and each element is represented in each code book On the number of users that includes.
Fig. 5 is by emulating the performance curve obtained.The condition of emulation is the factor graph according to Fig. 1, it is assumed that have 7 users Data are sent simultaneously, and one of code book there are 2 UE selections, and remaining code book all only has three in 1 UE selection, simulation result Curve distribution represents the detection under the conditions of different signal to noise ratio when preamble length is 2,4 and 6 bit lengths Error probability.The MPA algorithms used during emulation employ log-domain and calculated, and highest iterations is set as 5.Using pair The error probability that number field method is obtained is slightly above the method in non-logarithmic domain, but simulation velocity increases significantly.
The up channel in a kind of SCMA systems provided by the present invention is described above by embodiment to use code book The method of estimation of situation, it will be understood by those of skill in the art that in the scope for not departing from essence of the invention, can be to this hair It is bright to make certain deformation or modification;Its preparation method is also not necessarily limited to the content disclosed in embodiment.

Claims (8)

1. a kind of SCMA code books blind estimating method, its step is:
1) usage factor figure represents SCMA resource impact situation, wherein, it regard each code book as a variable node, each resource Block represents that the code book will take connected resource block and send between code book and resource block as a function node comprising line Data;For each code book, one initial confidence level vector is set;
2) that one is sent before time/frequency source block is fixed as defined in LTE protocol sending the data of oneself, first is leading for user equipment (UE) Code information;
3) preamble information that receiving terminal is received according to specifying in time/frequency source block and the factor graph are carried out to code book service condition Estimation, estimates whether each code book has user to use and using the number of users of the code book.
2. the method as described in claim 1, it is characterised in that step 3) be using the implementation method of MPA algorithms:
21) calculate and the message of function node is sent to by variable node, and be sent to by variable node the message of function node;
22) repeat step 21) until reaching the highest iterations of agreement;
23) final probability value is obtained according to the message received on variable node, the maximum number of users of probable value is chosen and makees For the estimated result of code book service condition.
3. the method described in claim 2, it is characterised in that utilize formula Calculate the message that function node is sent to by variable nodeWherein,From other during for the l times iteration It is connected to function node FnVariable node VjIt is sent to function node FnMessage,Representative function node FnOn connect The symbol R receivednWith the data vector estimated by each caseBetween Euclidean distance;FnTo be sent to variable node VkN-th of function node of message.
4. method as claimed in claim 3, it is characterised in that utilize formula Abbreviation is carried out, the formula obtained after abbreviation is utilized Calculate the message that function node is sent to by variable node.
5. method as claimed in claim 3, it is characterised in that utilize formulaCalculate by becoming Amount node is sent to the message of function nodeWherein,During for the l times iteration change is connected to from other Measure node VkFunction node FjIt is sent to variable node VkMessage.
6. method as claimed in claim 5, it is characterised in that utilize formulaTo formulaAbbreviation is carried out, the formula obtained after abbreviation is utilized Calculate the message that function node is sent to by variable node.
7. the method as described in claim 1 to 6 is any, it is characterised in that the sequence length of the preamble information is most short to be The length of one symbol.
8. method as claimed in claim 7, it is characterised in that be modulated using QPSK schemes to the lead code of transmission, often One symbol includes two binary digits.
CN201710137731.4A 2017-03-09 2017-03-09 A kind of SCMA code book blind estimating method Expired - Fee Related CN107018114B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201710137731.4A CN107018114B (en) 2017-03-09 2017-03-09 A kind of SCMA code book blind estimating method
PCT/CN2017/114303 WO2018161654A1 (en) 2017-03-09 2017-12-01 Scma codebook blind estimation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710137731.4A CN107018114B (en) 2017-03-09 2017-03-09 A kind of SCMA code book blind estimating method

Publications (2)

Publication Number Publication Date
CN107018114A true CN107018114A (en) 2017-08-04
CN107018114B CN107018114B (en) 2019-09-06

Family

ID=59439903

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710137731.4A Expired - Fee Related CN107018114B (en) 2017-03-09 2017-03-09 A kind of SCMA code book blind estimating method

Country Status (2)

Country Link
CN (1) CN107018114B (en)
WO (1) WO2018161654A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018161654A1 (en) * 2017-03-09 2018-09-13 北京大学 Scma codebook blind estimation method
CN112565153A (en) * 2020-11-30 2021-03-26 沈阳理工大学 SCMA multi-user codebook design method based on rotation mapping

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160254937A1 (en) * 2015-02-27 2016-09-01 Huawei Technologies Co., Ltd Low complexity scma/lds detection systems and methods
CN106330207A (en) * 2016-08-22 2017-01-11 电子科技大学 Joint detection and decoding algorithm based on Turbo-SCMA system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107018114B (en) * 2017-03-09 2019-09-06 北京大学 A kind of SCMA code book blind estimating method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160254937A1 (en) * 2015-02-27 2016-09-01 Huawei Technologies Co., Ltd Low complexity scma/lds detection systems and methods
CN106330207A (en) * 2016-08-22 2017-01-11 电子科技大学 Joint detection and decoding algorithm based on Turbo-SCMA system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018161654A1 (en) * 2017-03-09 2018-09-13 北京大学 Scma codebook blind estimation method
CN112565153A (en) * 2020-11-30 2021-03-26 沈阳理工大学 SCMA multi-user codebook design method based on rotation mapping

Also Published As

Publication number Publication date
WO2018161654A1 (en) 2018-09-13
CN107018114B (en) 2019-09-06

Similar Documents

Publication Publication Date Title
CN105721106B (en) SCMA ascending communication system multi-user test method based on serial strategy
CN102232319B (en) Method and apparatus of a multiple-access communication system
CN110072287B (en) Data transmission method based on scrambling
CN102027682A (en) Spread-spectrum coding of data blocks using repetition
CN105357160A (en) Method and device for sending reference signal, and method and device for receiving reference signal
CN109802908B (en) Sequence-based signal processing method, signal processing apparatus, and computer-readable storage medium
EP3261306B1 (en) Data transmission method and device
WO2016155390A1 (en) Data transmission method and device
CN107872290A (en) A kind of mark UE method, network side equipment, UE and system
CN107018114B (en) A kind of SCMA code book blind estimating method
JP2022534300A (en) Coding and modulation method, demodulation and decoding method, apparatus and device
CN107690180B (en) Power allocation method and base station using the same
CN101388683B (en) Code channel detection method in CDMA system
CN105723783A (en) Synchronization signal transmitting device, receiving device, method, and system
WO2021143528A1 (en) Data processing methods and apparatuses, first communication node, second communication mode, and storage medium
CN101107825B (en) Methods and apparatus for decoder selection in communication systems
CN103368717A (en) Method and device for multiple access communication system
CN109428679B (en) ZigBee self-adaptive multi-rate transmission method
WO2019136741A1 (en) Methods and computing device for facilitating multiple access in a wireless communication network
EP3697010A1 (en) Data processing method and device
CN103117757B (en) A kind of signal acceptance method and terminal
WO2021143529A1 (en) Signal processing method and apparatus, first communication node, second communication node, and storage medium
CN111817995B (en) Method for non-coherent transmission of data
CN109428677B (en) Data transmission method and base station
JP6669278B2 (en) Resource mapping method, apparatus and communication system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20190906