CN109218361B - Method and base station for scheduling terminal of Internet of things - Google Patents
Method and base station for scheduling terminal of Internet of things Download PDFInfo
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- CN109218361B CN109218361B CN201710532987.5A CN201710532987A CN109218361B CN 109218361 B CN109218361 B CN 109218361B CN 201710532987 A CN201710532987 A CN 201710532987A CN 109218361 B CN109218361 B CN 109218361B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H—ELECTRICITY
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- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
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- 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 provides a method and a base station for scheduling terminals of the Internet of things, wherein the method comprises the following steps: determining the coverage grade of the terminal according to the random access process of the terminal, and acquiring the duplex mode of the terminal; changing the repetition times of a control channel, a service channel and a physical feedback channel, calculating a corresponding receiving signal-to-noise ratio according to the coverage level and the repetition times, selecting a modulation coding mode capable of meeting the receiving signal-to-noise ratio from a corresponding relation table of a modulation coding Mode (MCS) and a demodulation threshold, and further calculating the corresponding transmission rate of the terminal; and selecting the optimal channel repetition times and the optimal modulation coding mode which enable the transmission rate to be maximum, and scheduling the terminal. The base station can select the optimal channel repetition times and modulation coding mode grade to ensure the optimal uplink and downlink throughput.
Description
Technical Field
The invention relates to the technology of the Internet of things, in particular to a method and a base station for scheduling terminals of the Internet of things.
Background
Enhanced Machine Type Communications (eMTC) is a wireless technology designed to match the low-rate and high-delay tolerance characteristics of internet of things services in Long Term Evolution (LTE) R13 version, and adds a repetition technology of each physical channel on the basis of the original LTE technology. The repetition and combination of each physical channel can obtain the combined gain, thereby improving the receiving noise ratio of the terminal side and enlarging the effective coverage distance. In the existing LTE system, in order to improve Uplink coverage, continuous and repeated Transmission of a Physical Uplink Shared Channel (PUSCH) of an edge user is introduced, and the continuous and repeated Transmission is performed at most 4 times, which is called Transmission Time Interval Bundling (TTI Bundling). Meanwhile, in the existing LTE system, when demodulation of initially transmitted data is erroneous, a Hybrid Automatic Repeat reQuest (HARQ) may be performed, which is equivalent to performing slow Repeat transmission of a traffic channel, and the maximum number of HARQ repetitions is also determined according to the configuration issued by the base station.
The eMTC is different from the business channel repetition of TTI Bundling and HARQ process in the existing LTE system, the repetition is introduced to the control channel and the feedback channel besides the business channel, the maximum repetition times and the actual repetition times of each channel can be different, for example, the maximum repetition times of the business channel can reach 2048 times, and the repetition times of each physical channel which is most matched with the coverage condition can be selected according to the self-adaptive change of the coverage condition where the user is located. In the eMTC technology, the repetition times of a control channel, a traffic channel, and a feedback channel directly affect the terminal traffic rate.
In the scheduling method of the existing LTE system:
the base station determines a received signal to noise ratio (SINR) of a Channel environment where the terminal is located according to Channel Quality Information (CQI) reported by the LTE terminal, so as to select a Modulation and Coding Scheme (MCS) level that can match the snr required by the terminal to demodulate the LTE signal at the time to perform downlink scheduling. Generally, the base station needs to maintain a table of mapping between MCS and demodulation threshold, i.e. SINR required for demodulation, for scheduling of the base station. The relation table of MCS and demodulation threshold takes into account the received SINR gain brought by the retransmission of the base station by using the HARQ process; if the LTE system applies TTI Bundling, the received SINR gain due to TTI Bundling is also considered in this relation table.
The uplink scheduling method in the existing LTE system is similar, except that the base station can directly measure the received signal-to-noise ratio of the base station to the uplink signal at the current position of the terminal, so as to select a modulation and coding scheme MCS capable of matching the signal-to-noise ratio used for demodulating the uplink signal at the current time, and inform the terminal of the modulation and coding scheme level, so that the terminal sends the uplink signal according to the modulation and coding scheme scheduled by the base station.
However, when the existing LTE system is used for traffic transmission of the eMTC terminal, the terminal may not feed back Channel Quality Information (CQI) in consideration of complexity reduction. At this time, the base station generally estimates the path loss (PathLoss, PL) of the eMTC terminal from the base station through the coverage level (CE level) selected when the eMTC terminal randomly accesses, and further estimates the signal-to-noise ratio of the received signal at the location of the terminal, and selects an appropriate initial downlink modulation coding scheme level according to the estimated received signal-to-noise ratio. The uplink service scheduling method for the eMTC terminal is similar, and the base station estimates the path loss through the coverage grade selected when the eMTC terminal randomly accesses, so that the proper initial uplink modulation coding mode grade is selected. And then, the base station adjusts the uplink and downlink modulation and coding modes according to whether the uplink and downlink transmission signals are correctly demodulated.
When the base station performs the initial scheduling and the subsequent adjustment, there are two possibilities:
(1) in the table of the corresponding relation between the MCS and the demodulation threshold, there is a MCS level which can satisfy the signal to noise ratio SINR required by the current demodulation signal;
(2) in the table of the correspondence between MCS and demodulation threshold, there is no MCS level that can satisfy the signal-to-noise ratio required by the current demodulated signal, that is, the current received signal-to-noise ratio is lower than the demodulation threshold required by the lowest order MCS, for example, the eMTC terminal is located in an extremely far coverage point, such as a basement or a deep indoor;
for (1), the base station may directly use the aforementioned corresponding relation table between MCS and demodulation threshold to select MCS level, which is called MCS _ 1; or increasing the repetition times of the uplink and downlink physical channels, increasing the signal-to-noise ratio of the transmitted signal at the receiving end, and then selecting the MCS level matched with the signal-to-noise ratio, which is called MCS _ 2;
for (2), the base station cannot directly select the MCS level from the table of the correspondence between the MCS and the demodulation threshold, and only needs to increase the repetition times of the uplink and downlink physical channels first and then select the MCS order matching the received signal-to-noise ratio at this time. However, when the number of repetitions of the physical channel is different during the selection, the corresponding received signal-to-noise ratio SINR is also different, and the larger the number of repetitions is, the larger the enhancement effect obtained by the actual received signal-to-noise ratio is. Thus, the base station may select a smaller number of repetitions and a relatively low MCS order _ 2-the required demodulation SINR is lower, or may select a larger number of repetitions and a relatively high MCS order _ 2' -the required demodulation SINR is higher.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide a method and a base station for scheduling an internet of things terminal, so as to select an optimal channel repetition number and modulation coding mode level, and ensure that uplink and downlink throughput is optimal.
In order to solve the technical problem, an embodiment of the present invention provides a method for scheduling an internet of things terminal, which is applied to a base station, and the method includes:
determining the coverage grade of the terminal according to the random access process of the terminal, and acquiring the duplex mode of the terminal;
changing the repetition times of a control channel, a service channel and a physical feedback channel, calculating a corresponding receiving signal-to-noise ratio according to the coverage level and the repetition times, selecting a modulation coding mode capable of meeting the receiving signal-to-noise ratio from a corresponding relation table of a modulation coding Mode (MCS) and a demodulation threshold, and further calculating the corresponding transmission rate of the terminal;
and selecting the optimal channel repetition times and the optimal modulation coding mode which enable the transmission rate to be maximum, and scheduling the terminal.
In the method, before changing the repetition times of the control channel, the service channel and the physical feedback channel, the method further comprises the following steps of calculating the initial transmission rate of the terminal:
and estimating the initial receiving signal-to-noise ratio of the terminal according to the coverage grade selected by the random access of the terminal, selecting an initial modulation coding mode which can meet the initial receiving signal-to-noise ratio in a corresponding relation table of a modulation coding mode and a demodulation threshold, and calculating the corresponding initial transmission rate.
In the method, changing the repetition times of the control channel, the service channel and the physical feedback channel, and calculating the corresponding receiving signal-to-noise ratio according to the coverage grade and the repetition times comprises the following steps:
after the repetition times of at least one channel in the control channel, the service channel and the physical feedback channel are increased every time, the corresponding receiving signal-to-noise ratio is recalculated;
until the maximum number of repetitions of each physical channel is reached.
In the method, calculating the corresponding receiving signal-to-noise ratio according to the coverage level and the repetition times, and selecting the modulation and coding mode capable of meeting the receiving signal-to-noise ratio from the corresponding relation table of the modulation and coding mode MCS and the demodulation threshold comprises the following steps:
when the communication network system where the base station is located has applied the harq and/or tti bundling, the SINR gain caused by the harq and/or tti bundling should be included when selecting the modulation and coding scheme.
In the method, calculating the transmission rate corresponding to the terminal includes:
calculating the single TTI transmissible bit number when the modulation coding mode is adopted based on the selected modulation coding mode and the size of the distributed wireless resource block in the corresponding relation table;
and calculating the transmission rate according to the number of transmittable bits of the single TTI and the channel repetition number.
In the method, determining the coverage grade of the terminal according to the random access process of the terminal, and acquiring the duplex mode of the terminal comprises the following steps:
the determined coverage level comprises: coverage level one, coverage level two, coverage level three and coverage level four;
each coverage class supports a half-duplex mode and a full-duplex mode;
and calculating the transmission rate according to the number of transmittable bits of the single TTI and the channel repetition number.
In the method, calculating the user transmission rate TP _ i according to the number of transmittable bits per TTI and the number of channel repetitions comprises:
calculating the downlink transmission rate and the uplink transmission rate in the half-duplex mode in the coverage grade of the terminal according to the number of transmittable bits of a single TTI and the number of channel repetition;
and calculating the downlink transmission rate and the uplink transmission rate in the full duplex mode in the coverage level to which the terminal belongs according to the number of transmittable bits of the single TTI and the channel repetition number.
A base station that schedules terminals, comprising:
a coverage grade and duplex capability obtaining unit, configured to determine a coverage grade of the terminal according to a terminal random access process, and obtain a duplex mode of the terminal;
a terminal transmission rate calculation unit, configured to change the repetition times of the control channel, the service channel, and the physical feedback channel, calculate a corresponding received signal-to-noise ratio according to the coverage level and the repetition times, select a modulation and coding scheme that can satisfy the received signal-to-noise ratio from a correspondence table between a modulation and coding scheme MCS and a demodulation threshold, and further calculate a transmission rate corresponding to the terminal;
and the scheduling unit is used for selecting the optimal channel repetition times and the optimal modulation and coding mode which enable the transmission rate to be maximum and scheduling the terminal.
A base station that schedules terminals, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor; and the processor implements the method for scheduling the terminal of the Internet of things when executing the program.
A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps in the method of scheduling terminals of the internet of things.
Compared with the prior art, the method and the base station for scheduling the terminal of the internet of things provided by the embodiment of the invention have the following beneficial effects: the base station can select the optimal channel repetition times and modulation coding mode grade to ensure the optimal uplink and downlink throughput.
Drawings
Fig. 1 is a flowchart of a method for scheduling terminals of the internet of things;
fig. 2 is a flow chart of eMTC terminal scheduling;
fig. 3 is a schematic diagram of a scheduling module and input/output parameters of an eMTC terminal;
fig. 4 is a schematic structural diagram of a base station for scheduling terminals of the internet of things;
fig. 5 is a schematic structural diagram of a base station for scheduling a terminal.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help the full understanding of the embodiments of the present invention. Thus, it will be apparent to those skilled in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.
The method for scheduling the terminal of the internet of things is multiple and complex, the embodiment of the invention provides a method for scheduling the terminal of the internet of things, which is applied to a base station and comprises the following steps:
step 101, determining a coverage grade of a terminal according to a terminal random access process, and acquiring a duplex mode of the terminal according to UE (user equipment) capability reported when the terminal is randomly accessed;
102, increasing the repetition times of a control channel, a service channel and a physical feedback channel, calculating a corresponding receiving signal to noise ratio SINR _ i according to the coverage level, selecting a modulation and coding mode which can meet the receiving signal to noise ratio in a corresponding relation table of the existing modulation and coding mode MCS and a demodulation threshold, and further calculating the transmission rate TP _ i of the enhanced machine type communication terminal;
and 103, selecting the optimal channel repetition times and the optimal modulation coding mode MCS _ i which enable the transmission rate TP _ i to be maximum, and scheduling the enhanced machine type communication terminal.
By applying the technology provided by the embodiment of the invention, the base station can select the optimal channel repetition times and modulation coding mode grade, thereby ensuring the optimal uplink and downlink throughput.
In a preferred embodiment, before increasing the number of repetitions of the control channel, the traffic channel, and the physical feedback channel in step 102, the method further includes calculating an initial transmission rate TP _1 of the terminal of the internet of things:
and estimating the receiving signal to noise ratio SINR _1 of the terminal according to the coverage level selected by the random access of the terminal of the Internet of things, selecting MCS _1 which can meet the receiving signal to noise ratio SINR _1 from the corresponding relation table of the existing MCS and the demodulation threshold, and calculating the transmission rate TP _1 of the terminal of the Internet of things.
When calculating the SINR _1, only the coverage grade is needed, the information of the duplex mode is not needed, and only the duplex mode is needed when calculating the TP.
The table of the correspondence between MCS and demodulation threshold is generally a graph, in which the horizontal axis of the graph is a variable SINR and the vertical axis is a variable MCS, and which MCS scheme is used at that time can be found on the vertical axis according to the horizontal axis.
In a preferred embodiment, estimating a received signal to noise ratio SINR _1 of the terminal of the internet of things according to a coverage level selected by random access of the terminal of the internet of things, and selecting MCS _1 capable of meeting the received signal to noise ratio SINR _1 from a corresponding relation table of existing MCS and demodulation threshold includes:
when a system where a base station is located applies HARQ or TTI Bundling, selecting MCS _1 and considering SINR gain brought by the HARQ or TTI Bundling; that is, assuming that the demodulation threshold required when HARQ or TTI Bundling is not used is 3dB, and the demodulation threshold required when HARQ or TTI Bundling is used is reduced to 0dB, when the existing MCS and demodulation threshold correspondence table is queried, the MCS corresponding to 0dB should be selected, that is, the gain of HARQ or TTI Bundling should be taken into account when selecting the MCS.
Similarly, when the system where the base station is located has applied HARQ or TTI Bundling, the SINR gain caused by HARQ or TTI Bundling is considered when selecting MCS _ i.
In a preferred embodiment, calculating the initial transmission rate TP _1 comprises:
calculating a single TTI transmissible bit number TBS _1 when the MCS _1 is adopted based on the selected MCS _1 in the corresponding relation table and the size RB _1 of the allocated radio Resource Block (RB);
calculating the number of transmittable bits TBS _1 according to a single TTI and the number of available processes of the user, and calculating the initial transmission rate TP _1 of the user.
Similarly, calculating the transmission rate corresponding to the terminal includes:
calculating the single TTI transmissible bit number when the modulation coding mode is adopted based on the selected modulation coding mode and the size of the distributed wireless resource block in the corresponding relation table;
and calculating the transmission rate according to the number of transmittable bits of the single TTI and the channel repetition number.
In the embodiment, in the process of calculating the initial transmission rate TP _1 of the user according to the number of transmittable bits TBS _1 of a single TTI and the number of available processes of the user, the number of available processes of the user is uniquely mapped from (n, m, t) which is the number of times of repetition of [ control channel, traffic channel, physical feedback channel ], that is, after the value of (n, m, t) is determined, the number of available processes of the user can be uniquely obtained.
In the embodiment of the present invention, in order to help those skilled in the art to understand the technical solution more easily, it can be actually understood that the user transmission rate TP _ i can be calculated according to the number of repetitions of the transmittable bit number TBS _1 per TTI and the [ control channel, traffic channel, physical feedback channel ], and therefore, the variable of the number of available processes for the user is not shown in the formula listed in the embodiment of the present invention.
In a preferred embodiment, increasing the number of repetitions of the control channel, the traffic channel, and the physical feedback channel, and calculating the corresponding received signal-to-noise ratio SINR _ i according to the coverage level includes:
respectively increasing the repetition times of a control channel, a service channel and a physical feedback channel to (n, m, t) the repetition times of the [ control channel, service channel and physical feedback channel ], and recalculating the corresponding received signal-to-noise ratio SINR _ i;
until the maximum repetition times (n _ max, m _ max, t _ max) of each physical channel is reached, the increase is not repeated.
In an application scenario, as shown in fig. 3, after the initial transmission rate TP _1 of the user is calculated, the repetition times of the control channel, the traffic channel, and the physical feedback channel are increased repeatedly for multiple times, and are respectively increased to (n, m, t) the repetition times of [ the control channel, the traffic channel, and the physical feedback channel ];
and recalculating the received signal to noise ratio SINR _2, and reselecting MCS _2 capable of meeting the received signal to noise ratio. In general, due to channel repetition, SINR _2 will be higher than SINR _1, and MCS _2 will be larger than MCS _1 that needs to be selected without channel repetition.
And recalculating the received signal to noise ratio SINR _ i, and reselecting the MCS _ i capable of meeting the received signal to noise ratio.
Until reaching the maximum repetition times (n _ max, m _ max, t _ max) of each physical channel, the increase is not repeated;
thus, the optimal MCS and the optimal repetition times of each physical channel are obtained.
In a preferred embodiment, further comprising: and selecting the channel repetition times (n _ i, m _ i, t _ i) with the maximum throughput TP _ i and the MCS _ i to schedule the eMTC terminal.
In an application scenario, applying the techniques provided by the embodiment, as shown in fig. 2, a process of scheduling an eMTC terminal includes:
step 21, the base station determines the coverage grade of the terminal according to the random access process of the terminal; a base station acquires a duplex mode of a terminal according to UE capacity reported when the terminal randomly accesses;
step 22, the base station estimates the received signal to noise ratio SINR _1 of the terminal according to the coverage level selected by the terminal random access, and selects MCS _1 which can satisfy the received signal to noise ratio in the corresponding relation table of the existing modulation coding scheme MCS and demodulation threshold, for example, the system has applied HARQ or TTI Bundling, and the received SINR gain caused by HARQ or TTI Bundling has been considered when selecting MCS _ 1;
step 23, whether there is MCS _1 matching the received signal to noise ratio SINR _1 in the table of correspondence between modulation coding scheme MCS and demodulation threshold, if yes, go to step 24, otherwise go to step 26.
Step 24, the base station calculates the transmittable bit number TBS _1 for a single transmission time interval TTI when MCS _1 is adopted based on MCS _1 selected in step 21 and the size RB _1 of the allocated radio Resource Block (RB);
step 25, the base station calculates the user transmission rate TP _1 according to TBS _1 and the repetition times of each channel;
step 26, controlling whether the repetition times of the channel, the service channel and the physical feedback channel are increased to the maximum repetition time, if not, turning to step 27, otherwise, turning to step 29;
and respectively increasing the repetition times to (n, m, t) of [ control channel, traffic channel and physical feedback channel ], recalculating the received signal-to-noise ratio SINR _2, and reselecting MCS _2 capable of meeting the received signal-to-noise ratio. Generally, due to channel repetition, SINR _2 will be higher than SINR _1, and MCS _2 will be larger than MCS _1 selected without channel repetition;
step 27, based on the MCS _2 selected in step 26 and the allocated radio resource block size RB _2, when the base station calculates the MCS _2, the eMTC terminal transmission rate TP _ 2;
step 28, the base station continues to increase the values of n, m, t, returns to step 26 to repeat step 26 and step 27, and calculates the repetition times (n _ i, m _ i, t _ i) of different channels and the throughput TP _ i under MCS _ i;
until reaching the maximum repetition times (n _ max, m _ max, t _ max) of each physical channel;
and step 29, the base station selects the channel repetition times (n _ i, m _ i, t _ i) and MCS _ i with the maximum throughput TP _ i to schedule the eMTC terminal.
The process of scheduling the eMTC terminal can be used as a scheduling module for the eMTC terminal, and input parameters of the scheduling module are a coverage grade selected when the eMTC terminal is randomly accessed and a duplex mode reported.
The scheduling module is also internally provided with a self-traversing parameter, wherein the parameter is (n, m, t) of the repetition times of the [ control channel, traffic channel and physical feedback channel ]. The output result of the scheduling module is the optimal scheduling MCS and the repetition times of each channel.
By adopting the scheduling method, the maximization of the uplink and downlink throughput of the eMTC terminal can be guaranteed.
By applying the technology provided by each embodiment, the coverage grade of the terminal is determined according to the random access process of the terminal, the duplex mode of the terminal is obtained, and the user transmission rate TP _ i is calculated according to the number of transmittable bits and the number of channel repetitions of a single TTI, wherein the process relates to a plurality of calculation formulas.
In a preferred embodiment, determining the coverage level of the terminal according to the terminal random access procedure, and acquiring the duplex mode of the terminal includes:
the determined coverage level comprises: coverage level one, coverage level two, coverage level three and coverage level four;
each coverage class supports a half-duplex mode and a full-duplex mode;
and calculating the transmission rate according to the transmittable bit number and the channel repetition times of the single transmission time interval.
In a preferred embodiment, calculating the user transmission rate TP _ i according to the number of transmittable bits per TTI and the number of channel repetitions comprises:
calculating the downlink transmission rate and the uplink transmission rate in the half-duplex mode in the coverage level of the terminal according to the transmittable bit number and the channel repetition number of the single transmission time interval;
and calculating the downlink transmission rate and the uplink transmission rate in the full duplex mode in the coverage grade of the terminal according to the transmittable bit number and the channel repetition times of the single transmission time interval.
In one application scenario, the method for calculating the transmission rate of the eMTC terminal according to the coverage level, the duplex mode, the MCS, and the channel repetition number (n _ i, m _ i, t _ i) of the eMTC terminal includes:
step 1, obtaining MCS _ i according to SINR _ i, and calculating the transmittable bit number TBS _ i of a single transmission time interval TTI according to MCS _ i and RB _ i;
step 2, determining the user rate according to the coverage grade, the duplex mode, the control channel, the service channel and the repetition times (n _ i, m _ i, t _ i) of the physical feedback channel specifically as follows:
a first scenario: coverage level 0 and coverage level 1, including half duplex and full duplex, where half duplex includes downlink and uplink:
mode one, half-duplex includes:
descending:
(i) maximum number of repetitions is 1: TP _ i 3 × TBS _ i/10 kbps;
(ii) maximum number of repetitions is 2: when the control channel repetition number is 2 and the traffic channel repetition number is 1, TP _ i is 2 TBS/12 kbps;
when the number of control channel repetitions is 1 and the number of traffic channel repetitions is 2, TP _ i ═ 2 × TBS/(11+ (t _ i-1)) kbps;
when the control channel and the traffic channel repeat times are both 2, TP _ i ═ 2 TBS/(12+2 × (t _ i-1)) kbps;
(iii) the maximum number of repetitions > -4 TP _ i-TBS/(ceil ((n _ i +1+ m _ i +3+ t _ i +1)/n _ i) × n _ i) kbps;
ascending:
(i) maximum number of repetitions is 1: TP _ i 3 × TBS _ i/10 kbps;
(ii) maximum number of repetitions is 2: when the repetition frequency of one of the control channel or the service channel is 2 or the repetition frequency of the control channel and the service channel is 2, the TP _ i is 2 TBS _ i/10 kbps;
(iii) the maximum number of repetitions > -4 TP _ i-TBS/(ceil ((n _ i +3+ m _ i +1)/n _ i) × n _ i) kbps;
mode two, full duplex mode includes:
descending:
(i) maximum number of repetitions is 1: TP _ i 8 × TBS _ i/10 kbps;
(ii) maximum number of repetitions is 2: TP _ i ═ TBS _ i/MAX (n _ i, m _ i) kbps;
(iii) the maximum number of repetitions > -4 TP _ i-TBS _ i/MAX (n _ i, m _ i) kbps;
ascending:
(i) maximum number of repetitions is 1: TP _ i ═ TBS _ i kbps;
(ii) maximum number of repetitions is 2: TP _ i ═ TBS _ i/MAX (n _ i, m _ i) kbps;
(iii) the maximum number of repetitions > 4 TP _ i TBS _ i/MAX (n _ i, m _ i) kbps.
A second scenario: coverage level 2 and coverage level 3, including half duplex and full duplex:
mode one, half-duplex includes downlink and uplink:
descending:
(i) maximum number of repetitions is 1: TP _ i 2 × TBS _ i/10 kbps;
(ii) maximum number of repetitions is 2: when the control channel repetition number is 2 and the traffic channel repetition number is 1, TP _ i is 2 TBS/12 kbps; when the number of control channel repetitions is 1 and the number of traffic channel repetitions is 2, TP _ i ═ 2 × TBS/(11+ (t _ i-1)) kbps; when the repetition times of the control channel and the traffic channel are both 2, TP _ i is 2 TBS/12 kbps;
(iii) the maximum number of repetitions > 4, TP _ i TBS/(ceil ((n _ i +1+ m _ i +3+ t _ i +1)/n _ i) × n _ i) kbps.
Ascending:
(i) maximum number of repetitions is 1: TP _ i 2 × TBS _ i/10 kbps;
(ii) maximum number of repetitions is 2: the number of repetitions of either the control channel or the traffic channel is 2, or the control channel
When the repetition times of the channel and the traffic channel are both 2, TP _ i is 2 TBS _ i/10 kbps;
(iii) the maximum number of repetitions > -4 TP _ i-TBS/(ceil ((n _ i +3+ m _ i +1)/n _ i) × n _ i) kbps;
mode two, full duplex includes downlink and uplink:
descending:
(i) maximum number of repetitions is 1: TP _ i 2 × TBS _ i/10 kbps;
(ii) maximum number of repetitions is 2: maximum number of repetitions is 2: when the control channel repetition number is 2 and the traffic channel repetition number is 1, TP _ i is 2 TBS/12 kbps; when the number of control channel repetitions is 1 and the number of traffic channel repetitions is 2, TP _ i ═ 2 × TBS/(11+ (t _ i-1)) kbps; when the repetition times of the control channel and the traffic channel are both 2, TP _ i is 2 TBS/12 kbps;
(iii) the maximum number of repetitions > -4 TP _ i-TBS/(ceil ((n _ i +1+ m _ i +3+ t _ i)/n _ i) × n _ i) kbps;
ascending:
(i) maximum number of repetitions is 1: TP _ i 2 × TBS _ i/10 kbps;
(ii) maximum number of repetitions is 2: when the repetition frequency of one of the control channel or the service channel is 2 or the repetition frequency of the control channel and the service channel is 2, the TP _ i is 2 TBS _ i/10 kbps;
(iii) the maximum number of repetitions > 4, TP _ i ═ 2 × TBS/(ceil ((n _ i +3+ m _ i +3)/n _ i) × n _ i) kbps.
An embodiment of the present invention provides a base station for scheduling an internet of things terminal, as shown in fig. 4, including:
a coverage grade and duplex capability obtaining unit 41, configured to determine a coverage grade of the terminal according to a terminal random access process, and obtain a duplex mode of the terminal;
a terminal transmission rate calculating unit 42, configured to change the repetition times of the control channel, the service channel, and the physical feedback channel, calculate a corresponding received signal-to-noise ratio according to the coverage level and the repetition times, select a modulation and coding scheme that can satisfy the received signal-to-noise ratio from a correspondence table between a modulation and coding scheme MCS and a demodulation threshold, and further calculate a transmission rate corresponding to the terminal;
and the scheduling unit 43 is configured to select an optimal channel repetition number and an optimal modulation and coding scheme that maximize the transmission rate, and schedule the terminal.
In a preferred embodiment, the terminal transmission rate calculation unit 42 includes:
a repetition number adjusting module, configured to increase the repetition number of the control channel, the traffic channel, and the physical feedback channel to (n, m, t) respectively, and recalculate the corresponding received signal-to-noise ratio SINR _ i;
until reaching the maximum repetition times (n _ max, m _ max, t _ max) of each physical channel, the increase is not repeated;
and the modulation coding mode module is used for selecting the modulation coding mode MCS _ i when the communication network system where the base station is located applies the hybrid automatic repeat request and/or the transmission time interval bundling and considering the SINR gain brought by the hybrid automatic repeat request and/or the transmission time interval bundling.
In a preferred embodiment, the terminal transmission rate calculation unit 42 further includes:
a transmittable bit number calculation module, configured to calculate a transmittable bit number TBS _ i per TTI based on the modulation and coding scheme MCS _ i selected in the correspondence table and the size RB _ i of the allocated radio resource block;
and the user transmission rate module is used for calculating the user transmission rate TP _ i according to the single TTI transmittable bit number TBS _ i and the channel repetition times.
An embodiment of the present invention provides a base station for scheduling a terminal, as shown in fig. 5, including: a memory 52, a processor 51 and a computer program stored on the memory 52 and executable on the processor 51; the processor 51 implements a method for scheduling the internet of things terminal when executing the program.
An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements steps in a method for scheduling an internet of things terminal.
In the prior art, in a scheduling module of a system, channels are not repeated or the number of times of channel repetition is fixed, the embodiment of the invention provides that the speed of an eMTC terminal is calculated according to the number of times of channel repetition, the number of coverage levels, a control channel, a service channel, a physical feedback channel and the number of times of modulation coding mode of the eMTC terminal, and a base station can select the optimal number of times of channel repetition and the optimal number of times of modulation coding mode, so that the optimal uplink and downlink throughput is ensured.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In addition, the terms "system" and "network" are often used interchangeably herein.
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may be determined from a and/or other information.
In the embodiment of the present invention, the Base Station may be a Macro Base Station (Macro Base Station), a micro Base Station (Pico Base Station), a Node B (3G mobile Station), an enhanced Base Station (eNB), a Home enhanced Base Station (Femto eNB or Home eNode B or Home eNB or HeNB), a relay Station, an access point, an RRU (Remote Radio Unit), an RRH (Remote Radio Head), and the like. The terminal may be a mobile phone (or handset), or other device capable of sending or receiving wireless signals, including a User Equipment (UE), a Personal Digital Assistant (PDA), a wireless modem, a wireless communicator, a handheld device, a laptop computer, a cordless phone, a Wireless Local Loop (WLL) station, a Customer Premises Equipment (CPE) or mobile smart hotspot capable of converting mobile signals into WiFi signals, a smart appliance, or other device capable of autonomously communicating with a mobile communication network without human operation, etc.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A method for scheduling terminals of the Internet of things is applied to a base station, and comprises the following steps:
determining the coverage grade of the terminal according to the random access process of the terminal, and acquiring the duplex mode of the terminal;
changing the channel repetition times of a control channel, a service channel and a physical feedback channel, calculating a corresponding receiving signal-to-noise ratio according to the coverage level and the channel repetition times, selecting a modulation coding mode capable of meeting the receiving signal-to-noise ratio from a corresponding relation table of a modulation coding Mode (MCS) and a demodulation threshold, and further calculating the corresponding transmission rate of the terminal;
and selecting the optimal channel repetition times and the optimal modulation coding mode which enable the transmission rate to be maximum, and scheduling the terminal, wherein the channel repetition times are the times of channel repeated transmission.
2. The method of claim 1, wherein before changing the channel repetition number for the control channel, the traffic channel, and the physical feedback channel, further comprising calculating an initial transmission rate of the terminal:
and estimating the initial receiving signal-to-noise ratio of the terminal according to the coverage grade selected by the random access of the terminal, selecting an initial modulation coding mode which can meet the initial receiving signal-to-noise ratio in a corresponding relation table of a modulation coding mode and a demodulation threshold, and calculating the corresponding initial transmission rate.
3. The method of claim 1, wherein changing channel repetition times for a control channel, a traffic channel, and a physical feedback channel, and wherein calculating a corresponding received signal-to-noise ratio based on a coverage level and the channel repetition times comprises:
after the channel repetition times of at least one of the control channel, the service channel and the physical feedback channel are increased every time, the corresponding receiving signal-to-noise ratio is recalculated;
until the maximum channel repetition number of each physical channel is reached.
4. The method of claim 1, wherein calculating a corresponding received signal-to-noise ratio according to the coverage level and the channel repetition number, and selecting a modulation and coding scheme capable of satisfying the received signal-to-noise ratio from a correspondence table between modulation and coding schemes MCS and a demodulation threshold comprises:
when the communication network system where the base station is located has applied the harq and/or tti bundling, the SINR gain caused by the harq and/or tti bundling should be included when selecting the modulation and coding scheme.
5. The method of claim 1, wherein calculating the transmission rate for the terminal comprises:
calculating the transmittable bit number of the single transmission time interval when the modulation coding mode is adopted based on the selected modulation coding mode and the size of the allocated wireless resource block in the corresponding relation table;
and calculating the transmission rate according to the transmittable bit number and the channel repetition times of the single transmission time interval.
6. The method of claim 1, wherein determining the coverage level of the terminal according to a terminal random access procedure, and acquiring the duplex mode of the terminal comprises:
the determined coverage level comprises: coverage level one, coverage level two, coverage level three and coverage level four;
each coverage class supports a half-duplex mode and a full-duplex mode;
and calculating the transmission rate according to the transmittable bit number and the channel repetition times of the single transmission time interval.
7. The method of claim 6, wherein calculating the user transmission rate based on the number of transmittable bits for a single transmission time interval and the number of channel repetitions comprises:
calculating the downlink transmission rate and the uplink transmission rate in the half-duplex mode in the coverage level of the terminal according to the transmittable bit number and the channel repetition number of the single transmission time interval;
and calculating the downlink transmission rate and the uplink transmission rate in the full duplex mode in the coverage grade of the terminal according to the transmittable bit number and the channel repetition times of the single transmission time interval.
8. A base station for scheduling terminals, comprising:
a coverage grade and duplex capability obtaining unit, configured to determine a coverage grade of the terminal according to a terminal random access process, and obtain a duplex mode of the terminal;
a terminal transmission rate calculation unit, configured to change channel repetition times of a control channel, a service channel, and a physical feedback channel, calculate a corresponding received signal-to-noise ratio according to a coverage level and the channel repetition times, select a modulation and coding scheme capable of satisfying the received signal-to-noise ratio from a correspondence table between modulation and coding schemes MCS and a demodulation threshold, and further calculate a transmission rate corresponding to the terminal;
and the scheduling unit is used for selecting the optimal channel repetition times and the optimal modulation coding mode which enable the transmission rate to be maximum and scheduling the terminal, wherein the channel repetition times are the times of channel repeated transmission.
9. A base station that schedules terminals, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor; the processor is characterized in that when executing the program, the processor realizes the method for scheduling the terminal of the internet of things according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for scheduling terminals of the internet of things according to any one of claims 1 to 7.
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| CN109873687B (en) * | 2019-03-29 | 2022-01-11 | 深圳职业技术学院 | Information processing method and system based on signal-to-noise ratio in Internet of things and storage medium |
| CN110190936A (en) * | 2019-06-18 | 2019-08-30 | 王德强 | A kind of high speed car networking V2X multimedia service optimized transmission method and device |
| CN110492921B (en) * | 2019-07-12 | 2021-05-28 | 四川安迪科技实业有限公司 | Transmission channel power self-adaption method, self-adaption device and sending device |
| CN110546970B (en) * | 2019-07-17 | 2023-11-24 | 北京小米移动软件有限公司 | Information indication method, information determination method, information indication device, information determination device, communication equipment and storage medium |
| CN112583520A (en) * | 2019-09-27 | 2021-03-30 | 普天信息技术有限公司 | Method and equipment for adaptively selecting modulation coding scheme according to coverage level |
| CN112752241B (en) * | 2019-10-31 | 2022-11-11 | 成都鼎桥通信技术有限公司 | Method and device for switching overlay mode of eMTC terminal |
| CN111586727B (en) * | 2020-04-26 | 2023-04-07 | 杭州先锋电子技术股份有限公司 | Device for improving networking success rate of Internet of things terminal |
| CN114257331B (en) * | 2020-09-23 | 2023-07-14 | 大唐移动通信设备有限公司 | Scheduling method, device and storage medium of satellite communication system |
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