CN106533519B - multi-hop cooperative transmission method based on dynamic antenna selection - Google Patents

multi-hop cooperative transmission method based on dynamic antenna selection Download PDF

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CN106533519B
CN106533519B CN201611074141.3A CN201611074141A CN106533519B CN 106533519 B CN106533519 B CN 106533519B CN 201611074141 A CN201611074141 A CN 201611074141A CN 106533519 B CN106533519 B CN 106533519B
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antenna
data packet
coded data
cooperative transmission
base station
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CN106533519A (en
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杨静
朱春华
管爱红
李智
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Henan University of Technology
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0602Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using antenna switching
    • H04B7/0608Antenna selection according to transmission parameters

Abstract

The invention relates to multi-hop cooperative transmission methods based on dynamic antenna selection.A base station side is provided with antennas in large-scale arrays, an optimal transmitting antenna subset is selected according to a set criterion, a signal source data packet to be transmitted is subjected to rateless coding and then is cooperatively distributed to a corresponding transmitting antenna, a cooperative end reserves a correct coded data packet and transmits the coded data packet to a receiving end, and the receiving end decodes the received coded data packet according to the rateless coding after determining that a set number of coded data packets are received.

Description

multi-hop cooperative transmission method based on dynamic antenna selection
Technical Field
The invention relates to multi-hop cooperative transmission methods based on dynamic antenna selection in a large-scale MIMO downlink system, belonging to the technical field of wireless communication.
Background
The improvement of Multiple Input Multiple Output (MIMO) technology on the capacity and data transmission reliability of a wireless communication system has been widely proved and verified by in fourth generation (4G) mobile communication, the number of Multiple antennas deployed by the MIMO technology is usually within 8.
In order to adapt to an antenna subset cooperative transmission system with an energy efficiency maximization dynamic structure and a fixed code rate encoding cooperation method, such as Low Density Parity Check (LDPC) cooperation, a base station and a user side both need to store a large number of channel encoding and decoding matrixes in advance. Higher system cost and implementation complexity are not practical for portable user terminals. Especially in a massive MIMO system, as the number of service users increases, the burden on the base station also increases greatly.
The receiving end can solve K signal source data packets sent by the sending end as long as the K coded data packets (or a bit larger than the K coded data packets) can be correctly received, and successful decoding is realized.
The large-scale MIMO system only can support a 4G mobile communication system with a transmission rate of hundreds of megabits per second, and the requirement of mass data communication in the future is difficult to meet.
For example, in chinese patent No. CN104967469A, large-scale MIMO transmission methods based on rateless coding only need to discard the erroneous coded data packets by using the rateless coding rate, adaptive link status and decoding principle of rateless coding, although the implementation complexity is reduced by this method, the rf link between the transmitting end and the receiving end needs to correspond to the antenna of the base station, and the cost of the rf link is much higher than that of the antenna, which increases the system cost.
Although the method improves the reliability of the system, the number of antennas at the base station end is increased greatly under the condition that the future communication technology develops and popularizes to 5G, and if a radio frequency link completely corresponds to the antennas of the base station, not only the implementation complexity is high, but also the system cost is increased.
Disclosure of Invention
The invention aims to provide multi-hop cooperative transmission methods based on dynamic antenna selection in a large-scale MIMO downlink multi-hop system, and solves the problem of high complexity of a data transmission system under a 5G communication technology.
The number of the optimal transmit antenna subsets is less than or equal to the number of radio frequency links between the transmit antennas and the receiving end.
The criterion for selecting the optimal transmitting antenna is as follows: adding antennas to the transmitting antenna subset when the signal-to-noise ratio is lower than a set lower threshold; and when the signal-to-noise ratio is higher than a set upper limit threshold value, removing the antenna from the transmitting antenna subset.
When the signal-to-noise ratio is lower than a set lower limit threshold, the added antenna can provide the antenna with the maximum system capacity; when the signal-to-noise ratio is higher than a set upper limit threshold value, the removed antenna is the antenna capable of providing the minimum system capacity.
The invention has the beneficial effects that:
1) under the 5G communication environment, antenna selection is dynamically carried out according to the channel characteristics and the optimal number of transmitting antennas is determined, so that the number of the transmitting antennas is adaptive to the number of radio frequency links, and the implementation complexity and cost of equipment are reduced;
2) the rateless property of the code rate in the rateless coding cooperation technology is adopted, the dynamic structure change of an antenna cooperation system can be adapted, and the reliability of data transmission and the efficiency of the data transmission are improved.
Drawings
Fig. 1 is a flow chart of a multi-hop cooperative transmission method based on dynamic antenna selection in a massive MIMO downlink;
FIG. 2 is a block diagram of a base station side dynamic antenna selection technique;
fig. 3 is a base station implementation in a multi-hop cooperative transmission method;
fig. 4 is an embodiment of a cooperative end in a multi-hop cooperative transmission method;
fig. 5 is an embodiment of a receiving end in a multi-hop cooperative transmission method.
Detailed Description
The present invention relates to a method for transmitting and receiving signals in a cellular mobile communication system, and more particularly, to a method for transmitting and receiving signals in a cellular mobile communication system, which includes configuring a plurality of antennas at a transmitting/receiving end, selecting antennas having the same number as (or less than) a number of radio frequency links to form an antenna subset, and adaptively switching the radio frequency links to the antenna subset by using criteria defined at , wherein distances between user terminals and base stations are different, in order to maximize energy efficiency, the number of optimal antennas required by each user terminal in different channel states after the antenna selection technique is different.
The technical scheme includes that under a 5G communication environment, a base station side is provided with antennas in a large-scale array, an optimal transmitting antenna subset with the number smaller than that of radio frequency link data between a transmitting antenna and a receiving end is selected according to fixed criteria, a signal source data packet to be transmitted is subjected to rateless coding and then is distributed to the corresponding transmitting antenna in a coordinated mode, the coordinated end reserves a correct coded data packet according to cyclic redundancy check and transmits the coded data packet to the receiving end, and after the receiving end determines that a set number of coded data packets are received, the received coded data packet is decoded according to a rateless coding decoding principle.
When the signal-to-noise ratio is lower than a set lower limit threshold, adding an antenna capable of increasing the system capacity into a preselected antenna subset; and when the signal-to-noise ratio is higher than a set upper limit threshold value, removing the antenna with the minimum system capacity.
The invention is further illustrated in with reference to specific examples.
As shown in fig. 1, K source packets to be transmitted form messages to be transmitted, and the messages are transmitted to a user end (receiving end) via a cooperative end, where each source packet includes N q-ary symbols, and q is equal to 2mM is a natural number, and K and N are integers. The specific implementation process is as follows:
1. constructing a large-scale MIMO downlink multi-hop cooperation system model;
in the large-scale MIMO downlink multi-hop system, the received signals of the cooperative end and the receiving end may be respectively expressed as:
Figure BDA0001165762210000031
Figure BDA0001165762210000032
in the formula, Gb,p、Gp,dChannel matrixes between a base station and a cooperative terminal and between the cooperative terminal and a receiving terminal are respectively set;
Figure BDA0001165762210000041
Figure BDA0001165762210000042
respectively sending signals of a base station end and a cooperation end; wherein p isb,p、pp,dIs the corresponding transmit power; n is additive white gaussian noise with a mean of zero and a variance of 1.
Equations (1) and (2) give preliminary descriptions of massive MIMO downlink multi-hop transmission systems.
In order to improve the transmission efficiency by , the number of the cooperation ends can be expanded to be more than one.
2. Dynamic antenna selection;
in this embodiment, starting from the random time-varying property of the wireless fading channel, a dynamic antenna selection method that maximizes energy efficiency and considers complexity is adopted, as shown in fig. 2.
In a communication system with a fixed transmission time , users with better channel characteristics need less optimal antennas, and due to the mobility of users, the channel characteristics may be degraded, and the number of the needed optimal antennas becomes more, the selection rule is to add antennas that maximize the system capacity performance (can provide the maximum system capacity) to a preselected antenna subset (the base station has large-scale antennas, antenna sets, and the number of the optimal antennas is of the total number of antennas, so the antenna subset can be represented as matrixes) each time.
, the received signal-to-noise ratio (an index for measuring the reliability of the communication system) in a wireless channel exponentially decays with distance, so that users closer to the base station have higher received signal-to-noise ratio values and better channel characteristics, and users having lower signal-to-noise ratio values have poorer channel characteristics.
3. Determining the optimal number of transmitting antennas;
in a large-scale MIMO downlink multi-hop system, a wireless channel from a base station end to a cooperative end has random time variation. Based on the energy efficiency maximization criterion, on the basis of adopting a dynamic antenna selection method, the optimal number of transmitting antennas is analyzed and determined, and as shown in fig. 1, the optimal number of antennas is assumed to be L.
4. A rateless code cooperation method based on antenna selection;
as shown in fig. 3, each K source packets total K · N q-ary symbols constitute messages to be transmitted, source packets have a length of N, and the base station transmits K source packets (a)0,a1,…,aN-1),(b0,b1,…,bN-1),…,(f0,f1,…,fN-1) Reordering into packets (a)0,b0,…,f0),(a1,b1,…,f1),…,(aN-1,bN-1,…,fN-1). The ith packet (a) after reorderingi,bi,…,fi) Cooperative output of semi-infinite sequences via rateless coding (A)i,Bi,…,Fi…), i ═ 0,1, …, N-1. Finally, a rateless coded data packet sequence (A) is obtained0,A1,…,AN-1),(B0,B1,…,BN-1),…,(F0,F1,…,FN-1),…。
On the basis, the rateless coded data packet sequence to be transmitted is distributed to the corresponding transmitting antenna according to the cooperative transmission distribution scheme.
The rateless codes actually used may be fountain codes, Reed-Solomon codes, Extended Irregular Repeat-Accumulate (eIRA) codes, or the like.
5. The cooperative terminal assists in transmitting the coded data packet;
in a large-scale MIMO downlink system, a user terminal far away from a base station terminal has poor channel characteristics, and a cooperative terminal is required to assist in transmitting a coded data packet, that is, the system is a multi-hop transmission system. The measures adopted in this embodiment are that after the cooperative end receives the encoded data packet sent by the base station end, the erroneous encoded data packet is discarded according to measures such as cyclic redundancy check, and the correct encoded data packet is retained and forwarded to the user end (receiving end), as shown in fig. 4.
6. Decoding judgment is carried out at a receiving end;
the receiving end judges whether the correct coded data packets of the required number M are correctly received, as shown in FIG. 5, if the coded data packets of the required number M are correctly received, the receiving end feeds back signals of 'stop sending', and the base station end and the cooperation end stop sending the rateless coded data packet sequence;
in practice, the number of correctly encoded packets M required to be received is typically set to be slightly greater than K (or equal to K (1+ ε), where ε is the overhead of the actual rateless encoding, and typically ranges from 0% to 5%, depending on the actual rateless encoding scheme).
7. The sending end stops sending the message;
after the sending end (base station end and cooperation end) receives the 'stop sending' signal fed back by the user end (receiving end), the sending of the rateless coded data packet of the message is stopped immediately. Meanwhile, the user end (receiving end) performs rateless decoding (the decoding principle corresponds to the rateless coding principle in step 4) on the received rateless coded data packets, and correctly recovers the original K signal source data packets.
Therefore, the rateless coding cooperation technology is powerful tools for processing the data transmission problem of the dynamic cooperation system, and provides a new processing method for optimizing the cooperation transmission problem based on dynamic antenna selection in the large-scale MIMO downlink system.5G adopts the antenna selection technology, so that the cost and the realization complexity of the large-scale MIMO system can be reduced while higher energy efficiency is obtained.
The specific embodiments are given above, but the present invention is not limited to the described embodiments. The basic idea of the present invention lies in the above basic scheme, and it is obvious to those skilled in the art that no creative effort is needed to design various modified models, formulas and parameters according to the teaching of the present invention. Variations, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit of the invention, and still fall within the scope of the invention.

Claims (2)

  1. The multi-hop cooperative transmission method based on dynamic antenna selection is characterized in that a base station side is provided with a large-scale array antenna, an optimal transmitting antenna subset is selected according to a set criterion, and a source data packet to be transmitted is subjected to rateless coding and then is cooperatively distributed to a corresponding transmitting antenna;
    the criterion for selecting the optimal transmit antenna subset is: when the signal-to-noise ratio is lower than a set lower limit threshold, adding an antenna capable of providing the maximum system capacity into the transmitting antenna subset; and when the signal-to-noise ratio is higher than a set upper limit threshold value, removing the antenna which can provide the minimum system capacity from the transmitting antenna subset.
  2. 2. The multi-hop cooperative transmission method based on dynamic antenna selection as claimed in claim 1, wherein the number of the optimal transmit antenna subsets is less than or equal to the number of radio frequency links between transmit antennas and receiving ends.
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Publication number Priority date Publication date Assignee Title
CN102484524A (en) * 2009-05-21 2012-05-30 印度科学研究所 Queued cooperative wireless networks configuration using rateless codes

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CN100550685C (en) * 2005-10-05 2009-10-14 中兴通讯股份有限公司 The method and system of down link self adaption in the multiuser mimo system
CN101710839B (en) * 2009-08-07 2014-04-02 无锡德通数据无线通信科技有限公司 Multi-antenna selectivity transmit-diversity method of wireless OFDM/TDD system
CN101848023B (en) * 2009-11-26 2013-03-13 浙江大学 Multiuser MIMO downlink transmission mode selection method based on rateless code
US20110250926A1 (en) * 2009-12-21 2011-10-13 Qualcomm Incorporated Dynamic antenna selection in a wireless device
US8918057B2 (en) * 2010-07-26 2014-12-23 Mediatek Inc. Intelligent transmission antenna selection method and communications apparatus utilizing the same
WO2014109774A1 (en) * 2013-01-14 2014-07-17 Hewlett-Packard Development Company, L.P. Wirelessly transmitting multi-cast signal using rateless codes
US10420118B2 (en) * 2013-09-27 2019-09-17 Qualcomm Incorporated Multiflow with antenna selection
CN104967469A (en) * 2015-03-18 2015-10-07 郑州大学 Large-scale MIMO transmission method based on ratioless encoding
CN105790810B (en) * 2016-04-13 2019-09-24 浙江理工大学 MIMO wireless multi-hop network distribution cross-layer optimizing method based on channelling mode selection

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102484524A (en) * 2009-05-21 2012-05-30 印度科学研究所 Queued cooperative wireless networks configuration using rateless codes

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
MIMO系统中基站天线递增选择算法;滕志军,等;《北京理工大学学报》;20140531;第495-500页 *

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