CN107347216B - Method for allocating uplink and downlink resources in 5G large-connection Internet of things - Google Patents
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- CN107347216B CN107347216B CN201710440070.2A CN201710440070A CN107347216B CN 107347216 B CN107347216 B CN 107347216B CN 201710440070 A CN201710440070 A CN 201710440070A CN 107347216 B CN107347216 B CN 107347216B
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- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000013468 resource allocation Methods 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 description 17
- 238000004891 communication Methods 0.000 description 8
- 238000004088 simulation Methods 0.000 description 7
- 239000000969 carrier Substances 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 101001051799 Aedes aegypti Molybdenum cofactor sulfurase 3 Proteins 0.000 description 1
- 101100545229 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) ZDS2 gene Proteins 0.000 description 1
- 101100167209 Ustilago maydis (strain 521 / FGSC 9021) CHS8 gene Proteins 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0446—Resources in time domain, e.g. slots or frames
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/20—Control channels or signalling for resource management
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/51—Allocation or scheduling criteria for wireless resources based on terminal or device properties
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria
- H04W72/563—Allocation or scheduling criteria for wireless resources based on priority criteria of the wireless resources
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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
Abstract
The invention discloses a method for allocating uplink and downlink resources in a 5G large-connection Internet of things, which comprises the following steps: 1) the base station divides all user terminals accessed to the 5G large-connection Internet of things into a plurality of coverage types according to channel information; 2) when a user terminal selects random access resources RACH to initiate a random access request to a base station, the base station receives the random access request sent by the user terminal, allocates corresponding frequency domain and time domain resources to the user terminal according to the coverage type of each user terminal, and then sends the allocation result to the user terminal to complete the allocation of uplink and downlink resources in the 5G large-connection Internet of things.
Description
Technical Field
The invention belongs to the technical field of 5G large-connection Internet of things communication, and relates to a method for allocating uplink and downlink resources in a 5G large-connection Internet of things.
Background
The 5G large-connection Internet of things communication refers to interconnection and data transmission among equipment and is defined as a communication system capable of carrying out data transmission among the equipment without human intervention. With the rapid development of the mobile internet, the service demand of the 5G large-connection internet of things is increased explosively, and the 5G large-connection internet of things can provide better service in a plurality of fields. Through development of years, the research on 5G big connection internet of things network will focus on 2020 network architecture of 5G and constitute the latest communication network structure together with cellular network, becoming an important component of 5G communication and constituting a 5G communication network together with cellular communication. When a large number of 5G large-connection internet-of-things devices are deployed in a cell and access to a network relatively intensively in the same time period, the network is faced with congestion and data traffic surge, and congestion overload of the network inevitably causes unnecessary access failure and network capacity reduction.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method for allocating uplink and downlink resources in a 5G large-connection Internet of things, which can effectively relieve the problem of access congestion of a user terminal in a network of the 5G large-connection Internet of things.
In order to achieve the purpose, the method for allocating uplink and downlink resources in the 5G large-connection Internet of things comprises the following steps:
1) the base station divides all user terminals accessed to the 5G large-connection Internet of things into a plurality of coverage types according to channel information;
2) when a user terminal selects random access resources RACH to initiate a random access request to a base station, the base station receives the random access request sent by the user terminal, allocates corresponding frequency domain and time domain resources to the user terminal according to the coverage type of each user terminal, and then sends the allocation result to the user terminal to complete the allocation of uplink and downlink resources in the 5G large-connection Internet of things.
All the user terminals are divided into an overlay type class1, an overlay type class3 and an overlay type class4 according to the channel information, wherein the priority of the user terminal belonging to the overlay type class1, the priority of the user terminal belonging to the overlay type class3 and the priority of the user terminal belonging to the overlay type class4 are sequentially reduced.
The user terminal with higher priority preferentially obtains the resource; when a plurality of user terminals have the same priority and each user terminal has the same authority, the base station randomly selects the user terminals to perform resource allocation; when the frequency domain and the time domain resources are all allocated, the base station sets the waiting time, and the user terminal which is not allocated with the resources in the waiting time does not initiate the random access request.
The random access request includes a service type of the user terminal and a size of the traffic volume.
And the base station allocates time-frequency resources according to the size of the service data of the user terminal.
Step 2) also comprises that when the user terminal receives the distribution result sent by the base station, a feedback signal is sent to the base station to inform the base station that the distribution result is received.
The invention has the following beneficial effects:
when the method for allocating the uplink and downlink resources in the 5G large-connection Internet of things is specifically operated, all the user terminals are divided into a plurality of coverage types according to the channel information, and then the corresponding frequency domain and time domain resources are allocated to the user terminals according to the coverage types, so that users with better channel information can preferentially acquire the time domain resources, the problem of access congestion of the user terminals in the 5G large-connection Internet of things network is solved, and the operation is simple and convenient.
Drawings
Fig. 1 is a narrowband internet of things framework diagram;
FIG. 2 is a graph of a system capacity simulation;
FIG. 3 is a graph of report failure probability.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings:
referring to fig. 1, the method for allocating uplink and downlink resources in a 5G large-connection internet of things according to the present invention includes the following steps:
1) the base station divides all user terminals accessed to the 5G large-connection Internet of things into a plurality of coverage types according to channel information;
2) when a user terminal selects random access resources RACH to initiate a random access request to a base station, the base station receives the random access request sent by the user terminal, allocates corresponding frequency domain and time domain resources to the user terminal according to the coverage type of each user terminal, and then sends the allocation result to the user terminal to complete the allocation of uplink and downlink resources in the 5G large-connection Internet of things.
All the user terminals are divided into an overlay type class1, an overlay type class3 and an overlay type class4 according to the channel information, wherein the priority of the user terminal belonging to the overlay type class1, the priority of the user terminal belonging to the overlay type class3 and the priority of the user terminal belonging to the overlay type class4 are sequentially reduced.
The user terminal with higher priority preferentially obtains the resource; when a plurality of user terminals have the same priority and each user terminal has the same authority, the base station randomly selects the user terminals to perform resource allocation; when the frequency domain and the time domain resources are all allocated, the base station sets the waiting time, and the user terminal which is not allocated with the resources in the waiting time does not initiate the random access request.
The random access request comprises the service type and the service volume of the user terminal, and the base station allocates time-frequency resources according to the service data size of the user terminal.
Step 2) also comprises that when the user terminal receives the distribution result sent by the base station, a feedback signal is sent to the base station to inform the base station that the distribution result is received.
In a GSM system, a user terminal above 144dB cannot be accessed into the GSM system, and the user terminal above 164dB needs to be accessed in a 5G large-connection Internet of things system, so the user terminal above 164dB needs to be divided into coverage types; when dividing the coverage type, the method of dividing various services in 3GPP 45.820 is followed, i.e. dividing into 4 different coverage types according to the proportion of 40%, 15% and 5%.
The downlink resource allocation is as follows: selecting MCS as 3, CBS as 0, subcarrier N as 1; the physical layer of the downlink has channel resources of 200kHz, and in the downlink direction, the channels are all divided into narrowband channels for communication: the downlink is divided into 48 sub-channels, and both sides of the downlink channel are provided with 10kHz protection bandwidth; the downlink adopts OFDMA for transmission; the downlink modulation and coding scheme is shown in table 1, the size of data transmitted by the base station to the ue in downlink data transmission is 20Bytes, the MCS is 3, the repetition factor is 1, and the PDSCH coding block allocation scheme is shown in table 2:
TABLE 1
TABLE 2
In most internet of things systems, a user terminal is in a static state, so that channels are unchanged, so that the roles of MCS 0-MCS 3 are the same, no repetition factor is needed, and in order to reduce the complexity of the internet of things and improve the flexibility of the internet of things, the modulation and coding mode is selected to be MCS 3; for the coding block size CBS index equal to 0, 200-bit data can be sent once, the size of the NC service generated by the base station is 20Bytes, and at this time, when CBS equal to 0, the base station is enough to transmit downlink data, so that the base station has time-frequency resources to transmit all 20Bytes to 5G large-connection internet-of-things equipment at one time; since the downlink adopts OFDMA for data transmission, when MCS is 3, the time-frequency resource for transmitting 200bits is fixed. If multiple sub-carriers are selected for transmission, the transmission time is reduced accordingly, selection of N being 1, 2 or 4. In order to reduce the complexity of processing information by the user terminal and the base station, N is selected to be 1, and the base station adopts a fixed time each time when transmitting downlink data.
Uplink resources are selected to be MCS (modulation and coding scheme) 6, the 5G large-connection Internet of things is optimally configured according to the maximized system capacity, downlink modulation and coding modes are shown in table 2, an uplink physical layer has channel resources of 200kHz, channels are divided into narrow-band channels in the uplink and downlink directions to carry out communication and uplink division into 36 sub-channels, and an uplink adopts FDMA (frequency division multiple access) for transmission, so that multiple devices can carry out data transmission at the same time, and the improvement of the network capacity is facilitated. Meanwhile, a plurality of carriers can be aggregated together, and the base station can allocate wider bandwidth to the user terminal and aggregate the wider bandwidth into a broadband carrier, thereby improving the transmission rate and reducing the time delay. The modulation and coding scheme of the uplink channel is shown in table 1, wherein MCS0 and MCS1 are used for uplink random access, and other MCSs are configured as 5G large-connection internet-of-things devices for data transmission. After the user terminal sends data, the base station sends ACK confirmation information and corresponding downlink control information on a downlink control channel PDCCH of an odd subframe. In the 5G large-connection Internet of things system, one sub-frame is 160ms, and the interval between odd sub-frames is 320 ms. In order to increase the capacity (capacity) of the network, the base station system 5G connects the internet of things device with the large capacity, and may fully utilize the allocated channel resources to transmit data, so when selecting the MCS, a coding scheme with a code rate of 2/3 is selected, and the MCS is selected to be 6, so that the time for transmitting one data packet is 2 subframes, and the resources allocated to the device by the base station may be fully utilized to transmit data.
TABLE 3
The uplink transmission coding block configuration is shown in table 4, and the simulation system adopts CBS 15, which can complete transmission of one coding block in two subframes, so that the device can effectively utilize allocated time-frequency resources.
TABLE 4
The transmission time is the transmission time of a single coding block, the size of data transmitted by the device in the transmission time is specified according to the coding block function, and the specific calculation formula of the map (x) function in the table is shown as formula (1):
where round (x) represents an integer closest to x, and the result is represented by formula (2) when x is 0.5.
round(0.5)=1 (2)
Fig. 2 is a system capacity simulation curve, a system target capacity is obtained when 52547 devices are deployed in the system, a theoretical curve is linearly increased with the increase of the number of users in each sector, as shown in fig. 2, a target value in the simulation setting is 52547 users in each sector, as can be seen from fig. 2, when there are 52547 users in each sector, the simulation platform can well meet requirements, reports successfully received by the simulation platform do not differ from the theoretical value much, and meet the requirement of future deployment of 5G large-connection internet of things, and it is emphasized that a frequency band multiplexing factor of the 5G large-connection internet of things system is 1/3, which is completely fused with the existing system, each sector in a cell does not have the same frequency point, so that co-frequency interference is reduced, and a frequency band used in the cell is only 200kHz, and the existing width is fully utilized, and in the 5G large-connection internet of things system, the transmission power of the devices is 23dB (200mW), the battery is completely compatible with the existing battery system, the system can be ensured to realize 20dB improvement on coverage performance of the traditional GRPS, and the requirement that the battery can be used for 20 years is also met.
Fig. 3 is a report failure probability curve, where there are various reasons for the unsuccessful access of the 5G large-connection internet of things to the network, and 1) there is not enough random access channels RACH in the network for the 5G large-connection internet of things devices to initiate a random access request, resulting in an access failure, and there are 4 random access channels RACH in each sector, and if there are more than 4 users initiating random access requests in the current time frame, there is inevitably at least one user that cannot obtain the random access channel RACH to send a random access request, resulting in at least one failed access; 2) when the 5G large-connection Internet of things equipment is accessed into the network, the network has no channel resource distributed to the 5G large-connection Internet of things equipment in the equipment cell, so that access failure is caused, and a counting module of the 5G large-connection Internet of things simulation platform needs to count all failure times in the accessing process before the 5G large-connection Internet of things successfully obtains time-frequency resources. As can be seen from fig. 3, when the number of target users is 52547, the failure probability of the system is relatively low, so that the user can be ensured to access the system, and the vision of million connections of the 5G large-connection internet of things is met.
Claims (5)
1. A method for allocating uplink and downlink resources in a 5G large-connection Internet of things is characterized by comprising the following steps:
1) the base station divides all user terminals accessed to the 5G large-connection Internet of things into a plurality of coverage types according to channel information;
2) a user terminal selects random access resources RACH to initiate a random access request to a base station, the base station receives the random access request sent by the user terminal, distributes corresponding frequency domain and time domain resources to the user terminal according to the coverage type of each user terminal, and then sends the distribution result to the user terminal to complete the distribution of uplink and downlink resources in the 5G large-connection Internet of things;
all the user terminals are divided into an overlay type class1, an overlay type class2, an overlay type class3 and an overlay type class4 according to the channel information, wherein the priority of the user terminal belonging to the overlay type class1, the priority of the user terminal belonging to the overlay type class2, the priority of the user terminal belonging to the overlay type class3 and the priority of the user terminal belonging to the overlay type class4 are sequentially reduced;
when allocating uplink and downlink resources for a high-priority user, the allocation scheme for the downlink resources is as follows: MCS is 3, CBS is 0, subcarrier N is 1; for uplink resource allocation, the allocation scheme is as follows: MCS 6 and CBS 15.
2. The method for allocating uplink and downlink resources in a 5G large-connection Internet of things according to claim 1, wherein the user terminal with higher priority preferentially obtains the resources; when a plurality of user terminals have the same priority and each user terminal has the same authority, the base station randomly selects the user terminals to perform resource allocation; when the frequency domain and the time domain resources are all allocated, the base station sets the waiting time, and the user terminal which is not allocated with the resources in the waiting time does not initiate the random access request.
3. The method for allocating uplink and downlink resources in a 5G big connection Internet of things according to claim 1, wherein the random access request comprises a service type and a traffic volume of the user terminal.
4. The method for allocating uplink and downlink resources in a 5G large-connection Internet of things according to claim 3, wherein the base station allocates the time-frequency resources according to the size of the service data of the user terminal.
5. The method for allocating uplink and downlink resources in a 5G big connection Internet of things according to claim 1, wherein the step 2) further comprises sending a feedback signal to the base station to inform the base station that the allocation result is received when the user terminal receives the allocation result sent by the base station.
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US9661663B1 (en) * | 2016-03-16 | 2017-05-23 | Telefonaktiebolaget Lm Ericsson (Publ) | Network access of a wireless device to a communications network |
CN106817775A (en) * | 2015-11-27 | 2017-06-09 | 华为技术有限公司 | Distributed OFDMA accidental access methods, AP and STA |
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WO2016086982A1 (en) * | 2014-12-03 | 2016-06-09 | Huawei Technologies Duesseldorf Gmbh | Method to prioritize random access with preamble coding |
CN106817775A (en) * | 2015-11-27 | 2017-06-09 | 华为技术有限公司 | Distributed OFDMA accidental access methods, AP and STA |
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