CN107979397B - Antenna port selection method of distributed antenna system - Google Patents
Antenna port selection method of distributed antenna system Download PDFInfo
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- CN107979397B CN107979397B CN201711201780.6A CN201711201780A CN107979397B CN 107979397 B CN107979397 B CN 107979397B CN 201711201780 A CN201711201780 A CN 201711201780A CN 107979397 B CN107979397 B CN 107979397B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0426—Power distribution
- H04B7/043—Power distribution using best eigenmode, e.g. beam forming or beam steering
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0686—Hybrid systems, i.e. switching and simultaneous transmission
- H04B7/0695—Hybrid systems, i.e. switching and simultaneous transmission using beam selection
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses an antenna port selection method of a distributed antenna system, which comprises the following steps: step 1, performing mathematical analysis on a mobile station receiving signal of a downlink of a distributed antenna system to determine a system model, wherein each port in the distributed antenna system adopts a beam forming technology to send a signal; step 2, reserving a set margin according to the number of the antenna ports to be selected, and preselecting the antenna ports; and 3, optimally selecting the required number of antenna ports in the preselection result, and simultaneously finishing the optimal configuration of the transmitting power of each antenna port. In the downlink transmission process, part of the dominant APs are selected to communicate with the mobile station, so that the power and frequency resources are saved as much as possible while the advantages of the distributed antenna system are ensured.
Description
Technical Field
The invention relates to an antenna port selection method of a distributed antenna system.
Background
With the shortage of energy and the increasing deterioration of environment, distributed antenna systems, also called distributed MIMO, are gaining wide interest of researchers. Unlike a conventional centralized MIMO system, a distributed antenna system places a plurality of independent Antenna Ports (APs) in each cell, each port is connected to a central processing unit through an optical fiber or a cable, etc., and distributed MIMO is formed between the antenna ports and mobile users.
Distributed Antenna Systems (DAS) have many advantages such as reducing transmission power, improving communication stability, increasing system capacity, and improving coverage by placing antennas geographically apart, which makes them one of the popular candidates for fifth-generation mobile communication systems.
At present, there are two main schemes for downlink transmission of a distributed antenna system: the first scheme is overlay transmission, i.e. all antenna ports communicate with the mobile station; the second scheme is selective transmission, i.e. selecting a part of antenna ports to communicate with the mobile station, but most studies currently select only one Antenna Port (AP) to communicate with the mobile station. The first scheme achieves good performance but wastes resources, while the second scheme saves resources but does not guarantee optimal performance.
Disclosure of Invention
In order to solve the above problems, the present invention provides an antenna port selection method for a distributed antenna system, which selects a part of dominant APs to communicate with a mobile station during downlink transmission, so that power and frequency resources are saved as much as possible while advantages of the distributed antenna system are ensured.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
an antenna port selection method for a distributed antenna system, comprising the steps of:
step 2, reserving a set margin according to the number of the antenna ports to be selected, and preselecting the antenna ports;
and 3, optimally selecting the required number of antenna ports in the preselection result, and simultaneously finishing the optimal configuration of the transmitting power of each antenna port.
Preferably, in step 1, a single-cell distributed system is provided with P antenna ports, and a mobile station selects Q antenna ports to communicate with the mobile station, so that the received signal y of the mobile station is:
in the formula, LiIs the ith antenna port AP in the celliLarge-scale fading reaching the mobile station, assuming that the large-scale fading reaching the mobile station is the same for all the transmitting antennas on one port; giFor the ith antenna port APiThe small-scale fading of each antenna to the mobile station is N × 1 channel vector, N is the number of antennas per antenna port, the mobile station is a single antenna,
is giTransposing; w is aiFor the ith antenna port APiThe beamforming vector of (1), having dimensions of nx 1; x is the number ofiFor the ith antenna port APiN is noise, and the variance is
The average signal-to-noise ratio γ of the mobile station is then:
wherein, PiFor the ith antenna port APiThe power of the transmitted symbol.
Preferably, in step 2, according to LiAnd selecting K antenna ports according to the sequence from large to small, wherein Q is more than K and less than P.
Preferably, K ═ Q + 2.
Preferably, step 3 specifically comprises the following steps:
301. putting the K antenna ports preselected in the step 2 into a selectable antenna port set;
302. exhaustively enumerating a selectable set of Q antenna ports from the selectable set of antenna ports;
303. aiming at each combination, taking downlink channel capacity as an optimization target, taking the maximum value limit of the transmitting power of each antenna port and the sum limit of the transmitting power of Q antenna ports as constraint conditions, and taking the transmitting power of each antenna port as a variable to establish an optimization problem model;
304. for each combination, solving an optimization problem model and obtaining an optimization problem solution, and recording a channel capacity value obtained by each combination and the transmission power distribution of each antenna port;
305. and selecting the Q antenna ports with the maximum channel capacity as the final antenna ports, and transmitting signals according to the power distribution condition of the Q antenna ports.
Preferably, the channel information used in step 1 is ideal channel information or channel information obtained by using a channel estimation method or a feedback method.
The invention has the beneficial effects that:
the antenna port selection method of the distributed antenna system is suitable for the situation that the antenna ports in the cell are randomly distributed. According to the number of antenna ports to be selected, antenna ports with a certain redundancy number are preselected by utilizing the condition of large-scale fading, then the capacity is utilized as an optimization target in the ports to solve the capacity and power distribution condition under the power constraint condition, and an antenna port selection scheme and power configuration which enable the capacity to be maximum are found out after traversing all possible port combinations, so that a selective transmission scheme of resource and performance compromise in a distributed antenna system is realized. In the downlink transmission process, part of the dominant APs are selected to communicate with the mobile station, so that the power and frequency resources are saved as much as possible while the advantages of the distributed antenna system are ensured.
Drawings
Fig. 1 is a schematic diagram of the structure of a distributed antenna system of the present invention;
fig. 2 is a flowchart of an antenna port selection method of a distributed antenna system according to the present invention.
Detailed Description
The present invention will be better understood and implemented by those skilled in the art by the following detailed description of the technical solution of the present invention with reference to the accompanying drawings and specific examples, which are not intended to limit the present invention.
An antenna port selection method for a distributed antenna system, comprising the steps of:
And 2, reserving a set margin according to the number of the antenna ports to be selected, and preselecting the antenna ports.
And 3, optimally selecting the required number of antenna ports in the preselection result, and simultaneously finishing the optimal configuration of the transmitting power of each antenna port.
This is described in detail below in conjunction with fig. 1 and 2.
The system structure diagram is shown in fig. 1, a distributed system with a single cell is provided with P antenna ports, each port is connected with a central processing unit through an optical fiber or a cable, a mobile user adopts a single antenna, each antenna port uses a plurality of antennas, and the selective transmission process of the antenna port at the base station side with both resources and performance in a downlink is realized. Fig. 2 shows a flowchart of an antenna port selection method of a distributed antenna system, where:
in step 1, mathematical analysis is performed on the mobile station received signal of the downlink of the distributed antenna system to determine a system model: basic conditions and downlink transmission modes of the distributed antenna system are set, such as the number of antenna ports in a cell, the number of antennas of each port, a channel model and the like, and each antenna port adopts a beam forming technology, namely each port selects a proper beam forming vector to send signals according to the channel condition. The channel information used may be desired channel information or channel information obtained by using a channel estimation method or a feedback method.
Each port in the distributed antenna system adopts a beam forming technology to transmit signals, and if a certain mobile station needs to select Q antenna ports to communicate with the mobile station, a received signal y of the mobile station is as follows:
in the formula, LiIs the ith antenna port AP in the celliLarge-scale fading reaching the mobile station, assuming that the large-scale fading reaching the mobile station is the same for all the transmitting antennas on one port; giFor the ith antenna port APiThe small-scale fading of each antenna to the mobile station is N × 1 channel vector, N is the number of antennas per antenna port, the mobile station is a single antenna,
is giTransposing; w is aiFor the ith antenna port APiThe beamforming vector of (1), having dimensions of nx 1; x is the number ofiFor the ith antenna port APiN is noise, and the variance is
The average signal-to-noise ratio γ of the mobile station is then:
wherein, PiFor the ith antenna port APiThe power of the transmitted symbol.
In step 2, according to the large-scale fading condition that each AP in the cell reaches the mobile station, a certain margin is reserved, and the AP is preselected: according to LiAnd selecting K antenna ports according to the sequence from large to small, wherein Q is more than K and less than P. The margin left for preselection should not be too large to reduce computational complexity, e.g., K ═ Q + 2.
Preferably, step 3 specifically comprises the following steps:
301. putting the K antenna ports preselected in the step 2 into a selectable antenna port set;
302. exhaustively enumerating a selectable set of Q antenna ports from the selectable set of antenna ports;
303. aiming at each combination, taking downlink channel capacity as an optimization target, taking the maximum value limit of the transmitting power of each antenna port and the sum limit of the transmitting power of Q antenna ports as constraint conditions, and taking the transmitting power of each antenna port as a variable to establish an optimization problem model;
304. for each combination, solving an optimization problem model and obtaining an optimization problem solution, and recording a channel capacity value obtained by each combination and the transmission power distribution of each antenna port until all possible antenna port combinations are traversed;
305. and selecting the Q antenna ports with the maximum channel capacity as the final antenna ports, and transmitting signals according to the power distribution condition of the Q antenna ports.
Specifically, Q antenna ends are randomly or orderly selected from K selectable portsFor the K selected APs, first, the { AP is used1,…,APQCalculating the downlink capacity in the situation for the selected Q APs, and establishing an optimization problem model by considering a power constraint condition:
C＝log2(1+γ)
s.t.0<Pi≤P0,i＝1～Q
wherein, P0For maximum transmit power limits of each AP (assuming that the maximum transmit power limits of each AP are the same), PmaxA power sum limit is sent for Q APs. Solving the optimization problem, obtaining the maximum value of the capacity C and the transmission power of each AP at the moment, and setting the capacity value at the moment as the current maximum capacity value. Then, another group of Q antenna port combinations is selected from the selectable antenna port set (i.e. the Q antenna ports of this time are not identical to all previous combinations), for example, by { AP }1,…,APQ-1，APQ+1Establishing the optimization problem model and solving for the selected Q APs to obtain the maximum value of the capacity C and the sending power of each AP, comparing the capacity with the current maximum capacity value, and updating the current maximum capacity value according to the result if the capacity value is larger; if the capacity value is smaller, the value is discarded, and the calculation and comparison of the next group of Q APs are continued. And obtaining the group of AP combination with the maximum current capacity value and the sending power of each AP after all possible Q AP combinations are traversed, namely selecting the corresponding Q APs to communicate with the mobile station according to the obtained power distribution condition.
The antenna port selection method of the distributed antenna system is suitable for the situation that the antenna ports in the cell are randomly distributed. According to the number of antenna ports to be selected, antenna ports with a certain redundancy number are preselected by utilizing the condition of large-scale fading, then the capacity is utilized as an optimization target in the ports to solve the capacity and power distribution condition under the power constraint condition, and an antenna port selection scheme and power configuration which enable the capacity to be maximum are found out after traversing all possible port combinations, so that a selective transmission scheme of resource and performance compromise in a distributed antenna system is realized. In the downlink transmission process, part of the dominant APs are selected to communicate with the mobile station, so that the power and frequency resources are saved as much as possible while the advantages of the distributed antenna system are ensured.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (4)
1. An antenna port selection method for a distributed antenna system, comprising the steps of:
step 1, performing mathematical analysis on a mobile station receiving signal of a downlink of a distributed antenna system to determine a system model, wherein each port in the distributed antenna system adopts a beam forming technology to send a signal;
step 2, reserving a set margin according to the number of the antenna ports to be selected, and preselecting the antenna ports;
step 3, carrying out optimal selection of the antenna ports with required quantity in the preselection result, and simultaneously finishing the optimal configuration of the transmitting power of each antenna port;
in step 1, a single-cell distributed system is provided with P antenna ports, and a mobile station selects Q antenna ports to communicate with the mobile station, so that a received signal y of the mobile station is:
in the formula, LiIs the ith antenna port AP in the celliLarge-scale fading reaching the mobile station, assuming that the large-scale fading reaching the mobile station is the same for all the transmitting antennas on one port; giFor the ith antenna port APiThe small-scale fading of each antenna to the mobile station is N × 1 channel vector, N is the number of antennas per antenna port, the mobile station is a single antenna,
is giTransposing; w is aiFor the ith antenna port APiThe beamforming vector of (1), having dimensions of nx 1; x is the number ofiFor the ith antenna port APiN is noise, and the variance is
The average signal-to-noise ratio γ of the mobile station is then:
wherein, PiFor the ith antenna port APiA power of a transmission symbol;
the step 3 specifically comprises the following steps:
301. putting the K antenna ports preselected in the step 2 into a selectable antenna port set;
302. exhaustively enumerating a selectable set of Q antenna ports from the selectable set of antenna ports;
303. aiming at each combination, taking downlink channel capacity as an optimization target, taking the maximum value limit of the transmitting power of each antenna port and the sum limit of the transmitting power of Q antenna ports as constraint conditions, and taking the transmitting power of each antenna port as a variable to establish an optimization problem model;
304. for each combination, solving an optimization problem model and obtaining an optimization problem solution, and recording a channel capacity value obtained by each combination and the transmission power distribution of each antenna port;
305. selecting the Q antenna ports with the maximum channel capacity as final antenna ports, and sending signals according to the power distribution condition of the Q antenna ports;
specifically, Q antenna ports are randomly or sequentially selected from K selectable ports, and for the selected K APs,first with { AP1,…,APQCalculating the downlink capacity in the situation for the selected Q APs, and establishing an optimization problem model by considering a power constraint condition:
C＝log2(1+γ)
s.t.0<Pi≤P0,i＝1～Q
wherein, P0For maximum transmit power limits of each AP (assuming that the maximum transmit power limits of each AP are the same), PmaxA power sum limit is sent for Q APs.
2. The method as claimed in claim 1, wherein in step 2, the antenna port selection is performed according to LiAnd selecting K antenna ports according to the sequence from large to small, wherein Q is more than K and less than P.
3. The method of claim 2, wherein K is Q + 2.
4. The method as claimed in claim 1, wherein the channel information used in step 1 is ideal channel information or channel information obtained by using a channel estimation method or a feedback method.
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| CN103746729A (en) * | 2013-12-25 | 2014-04-23 | 河海大学 | Distributed MIMO system base station side antenna position optimization method |
| CN103905097A (en) * | 2014-03-17 | 2014-07-02 | 复旦大学 | Distributed antenna system resource scheduling method with self-adaptive antenna selection |
| CN104079329A (en) * | 2014-06-26 | 2014-10-01 | 华为技术有限公司 | Virtual antenna port mapping method and base station |
| CN106788632A (en) * | 2016-12-13 | 2017-05-31 | 广西师范大学 | The port of MIMO Signal with Distributed Transmit Antennas and antenna selecting method |
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| US20160028451A1 (en) * | 2014-07-22 | 2016-01-28 | Alcatel-Lucent Usa Inc. | Active Antenna System And Method With Full Antenna Ports Dimension |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103746729A (en) * | 2013-12-25 | 2014-04-23 | 河海大学 | Distributed MIMO system base station side antenna position optimization method |
| CN103905097A (en) * | 2014-03-17 | 2014-07-02 | 复旦大学 | Distributed antenna system resource scheduling method with self-adaptive antenna selection |
| CN104079329A (en) * | 2014-06-26 | 2014-10-01 | 华为技术有限公司 | Virtual antenna port mapping method and base station |
| CN106788632A (en) * | 2016-12-13 | 2017-05-31 | 广西师范大学 | The port of MIMO Signal with Distributed Transmit Antennas and antenna selecting method |
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