The present disclosure relates to systems and methods for data frame synchronization between 5G base stations. Particularly, the mentioned method is to synchronize uplink and downlink slots for base stations in order to eliminate interference.
In 5G mobile network, Time Division Duplex (TDD) technique is used to improve flexibility and spectral efficiency. TDD refers to duplex communication links where uplink is separated from downlink by the allocation of different time slots in the same frequency band.
However, the advantages of time division duplex are counter-balanced by the precise timing and synchronization required to prevent intra-cell or inter-cell interference. More specifically, when two baseband processing stations use adjacent channels, transmission of the uplink at the edge of one channel may interfere with the transmission of the downlink at the edge of another channel if these two transmissions occur at the same time. The interference phenomenon will reduce the quality of 5G baseband processing stations by distorting the transmission signal. The solution to this challenge is to synchronize the data frame between 5G baseband processing stations, in other words to ensure that the TDD time slot between baseband processing stations is always the same for transmission of the uplink occurs only at one time and transmission of downlink occurs only at another time.
Currently, no method has been proposed and implemented to solve the above problem.
In this disclosure, 5G baseband processing stations use pulses with a period of 10 ms to determine the data frame times of the uplink and downlink. Thus, the purpose of the present disclosure is to ensure the phase and frequency synchronization of the 10 ms pulses of 5G baseband processing stations at all times, according to which the local oscillator block control method uses GPS (Global Positioning System) is applied. When applying this method, 5G baseband processing stations will have synchronized data frames, thereby solving the problem of interference between transmission of the uplink and downlink, helping to improve the quality of the 5G transceiver system.
To achieve the above purpose, the method is to control the local oscillator block using GPS, including the following steps:
Step 1: Synchronize the baseband processor's local oscillator block with the GPS's 1 pps pulse and generate 10 ms pulse from the local oscillator.
Step 2: Use the 10 ms synchronous pulse sync monitor block to get the sync offset between this pulse and the GPS 1 pps pulse.
Step 3: Use the control algorithm to reconfigure the local oscillator so that the 10 ms synchronous pulse can follow the 1 pps GPS pulse.
With this method, the 10 ms synchronization pulses of the baseband processing stations will be generated and synchronized with the 1 pps pulses—the pulses have been synchronized with the GPS's 1 pps pulses. From there all 10 ms synchronization pulses on baseband processing stations will be synchronized with each other.
To solve the problem of 10 ms pulse synchronization on 5G baseband processing stations, the present disclosure uses GPS technology. GPS technology provides 1 pps pulse as a reference signal to the local oscillator block in baseband processing stations for synchronization. In which, 1 pps (one pulse per second) is a signal pulse with a width of less than one second and rising with a period of one second. The local oscillator block in 5G baseband processing stations is the chip that generates and provides oscillator pulses to other components in the station. Local oscillator blocks are usually provided with a standard reference pulse so that the local oscillator pulse can be generated stably and accurately. Thus, the 1 pps GPS pulse will be provided as a reference pulse for the local oscillator blocks so that the local oscillator frequencies are synchronized with each other. The rising edge of the 1 pps pulse from the GPS block will be used by a 10 ms counter to start generating the 10 ms pulse. The 10 ms counter relies on the frequency of the baseband processor's local oscillator to generate the next 10 ms pulses. Theoretically, since the station's 10 ms pulse is generated from the local oscillator block which is already synchronized with the GPS's 1 pps pulse, the 10 ms pulses of the stations should be synchronized with each other. However, the local oscillator frequency of the baseband processing stations providing the 10 ms pulse generator block may be biased (due to reasons such as ambient temperature, . . . ) leading to a situation where the 10 ms pulse timing error for GPS 1 pps pulse is accumulated, 10 ms pulses at stations will be out of phase when running for a long time. Therefore, in addition to using the GPS pulse 1 pps to initiate a 10 ms pulse at the stations, the present disclosure uses an oscillator controller to control the frequency of the local oscillator so that the 10 ms pulse at the stations is frequency synchronous with one another.
Thus, the data frame synchronization method in the 5G base processing station using the GPS-based local oscillator block control method has the blocks and tuples shown in
10 ms counter: this receives local oscillator pulses from the local oscillator to generate a 10 ms pulse.
10 ms synchronous pulse monitor: monitors the 10 ms synchronous pulse from the 10 ms counter and calculates the error between 100 of 10 ms pulses and 1 pps pulses, providing this error to the local oscillator.
The 10 ms pulse synchronization process on the stations is shown in
Step 1: Synchronize the baseband processor's local oscillator block with the GPS's 1 pps pulse and generate a 10 ms pulse from the local oscillator.
The objective of this step is to use the 1 pps GPS pulses as the reference input for the local oscillator block. Based on the 1 pps GPS reference pulses, the local oscillator will generate local oscillator pulses to provide other components of the GPS station, including a 10 ms counter block to generate a 10 ms pulse. After the 10 ms counter is given frequency, the counter starts to pulse from the GPS 1 pps pulse rising edge. At the rising edge of the 1 pps pulse, the counter starts counting from one and counting according to the frequency of the local oscillator. The 10 ms counter generates the next pulses from the local oscillator. Suppose with a local oscillator with frequency x Hz, where X is the local oscillator's frequency, when the counter reaches the value x/100 (due to 10 ms= 1/100 s), generate a 10 ms pulse and reset the count value to one. Thus, after step 1, a 10 ms pulse was generated based on the local oscillator block of the baseband processing station.
Step 2: use the 10 ms synchronous pulse sync monitor block to get the sync offset between this pulse and the GPS 1 pps pulse; The input to this step is the 10 ms counter variable value and the GPS 1 pps pulse generated from step 1. At this step, the GPS 1 pps pulse rising edge triggers the monitor to calculate the error of the 10 ms pulse. The error is calculated as the difference between the desired value of x/100 and the counter value at the time of the 1 pps pulse rising edge. This error value is the cumulative deviation of 100 of 10 ms pulses compared to 1 second of 1 pps GPS pulses, which is also the output value of step 2. The error value will be put into a memory area for use as input for step 3.
Step 3: Use the control algorithm to reconfigure the local oscillator so that the 10 ms synchronous pulse can follow the 1 pps GPS pulse.
The input of this step is the error value calculated in step 2. At this step, each time the error value is calculated and put into the memory area, the local oscillator controller relies on this error to adjust frequency of the local oscillator pulses such that the error values of the subsequent times converge to 0. To achieve this, the local oscillator controller will apply some control algorithm (for example, the control algorithm), on-off control or PID proportional integral control algorithm) to calculate and adjust the local oscillator frequency, finally, the 10 ms pulse was synchronized with the GPS 1 pps pulse. After adjusting the local oscillator frequency, the oscillator continues to wait for the next error value.
The method of synchronizing data frames between 5G baseband processing stations by GPS-integrated local oscillator block control with the mentioned components is implemented into an apparatus, which is called Transfer Card. This apparatus is a combination of FPGA (Field-programmable gate array) programmable logic circuit, software and hardware and is described as
The control object of the PID algorithm is the parameter G to configure the DCO for the LMK05028 oscillator, with the control equation: G=KP*e+KI*Σe+KD*Δe.
In which:
e: is the error read out from the FIFO calculated and pushed in by the 10 ms synchronous clock monitor.
Σe: is the accumulated error in the past of the current e and e.
Δe: is the error between the current e and the previous e a point in time.
Choosing a suitable set of parameters KP, KI, KD will help the 10 ms pulse synchronize with the GPS 1 pps pulse faster and more stable.
The system using the previous data frame synchronously will be measured and tested in two ways as follows:
The first way to evaluate: evaluate the synchronization capability based on a data transmission circuit.
For the evaluation system placed in a laboratory environment, the system ran for 13 hours continuously, 4096 valuable samples were collected every 10 s. The graph illustrating the phase difference compensation control response of up to nine pulses when the system is stable, corresponding to 36 ns, is shown in
For the evaluation system placed in an environment of rapidly changing fan speed, the system ran for 19 hours continuously, 7139 value samples were collected every 10 s. The graph illustrating the phase difference compensation control response up to twenty pulses when the system is stable, corresponding to 80 ns, is shown in
For the evaluation system placed in an environment of slow change of cooling fan speed, the system ran for 5 hours continuously, 1742 value samples were collected every 10 s. The graph illustrating the phase difference compensation control response of up to eight pulses when the system is stable, corresponding to 32 ns, is shown in
The second evaluation method: evaluate the synchronization ability of two 10 ms pulses on two data transmission circuits.
The system of two data transmission circuits is set up running 10 ms pulse synchronization algorithm, the 10 ms and 1 Hz signals of each data transmission circuit are connected to the measuring heads of the oscilloscope.
The results show:
The method of local oscillator block control using GPS synchronized data frames in 5G baseband processing stations is provided, thereby solving the problem of interference between the transmission of the uplink and the downlink of the algorithm. time division duplex multiplexing, which improves the quality of the 5G transceiver system. In addition, the 5G baseband processing station system using this method has achieved good synchronization results and ensures long-term stability.
While preferred embodiments of the present invention have been shown and described, it will be apparent to those skilled in the art that many changes and modifications may be made without departing from the invention in its broader aspects. The appended claims are therefore intended to cover all such changes and modifications as fall within the true spirit and scope of the invention.
Number | Date | Country | Kind |
---|---|---|---|
1-2020-06923 | Nov 2020 | VN | national |
Number | Name | Date | Kind |
---|---|---|---|
3634633 | Driscoll | Jan 1972 | A |
5905758 | Schweiter, III | May 1999 | A |
6738275 | Beland | May 2004 | B1 |
6967559 | Beland | Nov 2005 | B2 |
7375993 | Beland | May 2008 | B2 |
7936544 | Beland | May 2011 | B2 |
8116405 | Cho | Feb 2012 | B2 |
8571179 | Beland | Oct 2013 | B2 |
8675378 | Beland | Mar 2014 | B2 |
8738127 | Lebovitz | May 2014 | B1 |
8923361 | Oda | Dec 2014 | B2 |
9061153 | Lebovitz | Jun 2015 | B1 |
9537576 | Wu | Jan 2017 | B2 |
9684020 | Rudolph | Jun 2017 | B2 |
10491222 | Parekh | Nov 2019 | B2 |
10496041 | Yao | Dec 2019 | B2 |
10498344 | Janardhanan | Dec 2019 | B2 |
10505554 | Janardhanan | Dec 2019 | B2 |
10505555 | Parekh | Dec 2019 | B2 |
10516401 | Janardhanan | Dec 2019 | B2 |
10516402 | Lindgren | Dec 2019 | B2 |
10686456 | Janardhanan | Jun 2020 | B2 |
10691074 | Yao | Jun 2020 | B2 |
10727846 | Janardhanan | Jul 2020 | B2 |
10868550 | Janardhanan | Dec 2020 | B2 |
11409001 | Liu | Aug 2022 | B2 |
20090034672 | Cho | Feb 2009 | A1 |
20100135336 | Zhou | Jun 2010 | A1 |
20130307724 | Kim | Nov 2013 | A1 |
20180270773 | Lee | Sep 2018 | A1 |
20200112933 | Sheashua | Apr 2020 | A1 |
20200127748 | Yanagisawa | Apr 2020 | A1 |
20200367076 | Lam | Nov 2020 | A1 |
20220146688 | Kim | May 2022 | A1 |
20220174629 | Dau | Jun 2022 | A1 |
Number | Date | Country |
---|---|---|
1731704 | Feb 2006 | CN |
1773887 | May 2006 | CN |
1312929 | Apr 2007 | CN |
110515104 | Nov 2019 | CN |
110531380 | Dec 2019 | CN |
112713925 | Apr 2021 | CN |
111580380 | May 2021 | CN |
110536405 | Aug 2021 | CN |
113885055 | Jan 2022 | CN |
114650117 | Jun 2022 | CN |
3403451 | Nov 2019 | EP |
3031162 | Oct 2022 | EP |
2325069 | Nov 1998 | GB |
2388264 | Nov 2003 | GB |
2546295 | Jul 2017 | GB |
2006010638 | Jan 2006 | JP |
4347978 | Oct 2009 | JP |
2010004413 | Jan 2010 | JP |
636385 | Oct 2006 | KR |
2042423 | Nov 2019 | KR |
960027548 | Nov 2019 | KR |
2101995 | Apr 2020 | KR |
2655692 | May 2018 | RU |
10026258 | Nov 2020 | VN |
10026373 | Nov 2020 | VN |
10026522 | Dec 2020 | VN |
WO-2005124385 | Dec 2005 | WO |
WO-2012058986 | May 2012 | WO |
WO-2012105758 | Aug 2012 | WO |
WO-2012105758 | Nov 2012 | WO |
WO-2014089988 | Jun 2014 | WO |
WO-2015018179 | Feb 2015 | WO |
WO-2016115922 | Jul 2016 | WO |
WO-2016210302 | Dec 2016 | WO |
WO-2017121606 | Jul 2017 | WO |
WO-2018062535 | Apr 2018 | WO |
WO-2019014758 | Jan 2019 | WO |
WO-2019163679 | Aug 2019 | WO |
WO-2020204212 | Oct 2020 | WO |
Number | Date | Country | |
---|---|---|---|
20220174629 A1 | Jun 2022 | US |