Time division duplex multi-carrier synchronous transmission method based on 5G

Abstract

The present invention provides a time-division duplex multi-carrier synchronous transmission method based on 5G, which is used to solve the problems of inflexible carrier time slot allocation and inaccurate delay compensation in synchronous transmission. By dynamically adjusting the time slot allocation and working frequency band of the carrier in the network control center, the method optimizes the network load and reduces cross interference; the synchronization signal calibration algorithm is used to compensate the delay of each carrier in real time, ensuring the strict alignment of the transmission time slot; the transmitting end dynamically adjusts the transmission power according to the link status information, and the receiving end reduces interference and signal attenuation through multi-carrier collaborative interference management and multi-path delay compensation mechanism; the receiving end performs joint decoding based on channel estimation, integrates the demodulated signals of each carrier, and improves the transmission efficiency and signal quality of the 5G network. The method is applicable to base station systems and base station plus repeater extension coverage systems, and is particularly applicable to distributed wireless systems, including optical fiber remote distributed systems, cable remote frequency shift repeater systems, etc.

Description

Technical Field

[0001] The present invention relates to the field of 5G wireless communication technology, and specifically to a 5G-based time division duplex multi-carrier synchronous transmission method. Background Art

[0002] Against the backdrop of the rapid development of 5G wireless communication technology, traditional communication systems are facing many challenges. With the surge in the number of users and the explosive growth in data traffic, the spectrum resources and transmission efficiency of existing 4G networks can no longer meet the growing demand. In order to achieve higher data transmission rates and lower latency, 5G technology adopts time division duplex mode and multi-carrier technology in order to achieve more efficient data transmission with limited spectrum resources.

[0003] However, traditional technologies lack flexibility in carrier time slot allocation and cannot be dynamically adjusted according to network load and interference conditions, which leads to cross-interference problems between frequency bands and affects the efficiency and quality of synchronous transmission. Due to the lack of accurate delay compensation mechanism, the transmission time slots of multiple carriers are difficult to strictly align, resulting in synchronization problems in the time domain, further increasing the risk of signal interference and data packet loss. The transmission power cannot be adjusted according to the real-time communication quality, which not only reduces the transmission quality, but also increases unnecessary signal interference. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the prior art, the present invention provides a 5G-based time division duplex multi-carrier synchronous transmission method, which solves the problems of inflexible time slot allocation and inaccurate delay compensation in 5G time division duplex multi-carrier synchronous transmission.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A 5G-based time division duplex multi-carrier synchronous transmission method, comprising:

[0008] In the network control center, according to the time division duplex mode of the 5G wireless communication system, independent time slots are allocated to each carrier in advance and its operating frequency band is determined. At the same time, each carrier is dynamically adjusted based on the network load and interference conditions to avoid cross interference during the synchronous transmission between different frequency bands;

[0009] By using the synchronization signal calibration algorithm at the base station and user equipment end, the delay of each carrier is compensated in real time, so that the transmission time slots of multiple carriers are strictly aligned; during the delay compensation process, the delay deviation of each carrier is dynamically measured, and the start time of the time slot is adjusted according to the measured delay deviation;

[0010] A power scheduling mechanism based on time slot alignment is used at the transmitting end to adjust the transmission power of each carrier according to the real-time communication quality of each carrier;

[0011] A multipath delay compensation mechanism is used during signal transmission to reduce signal attenuation caused by channel fading and multipath effects;

[0012] At the receiving end, multi-carrier collaborative interference management technology is used to perform interference analysis on each carrier signal, and the reception strategy of multi-carrier signals is optimized through interference prediction and adaptive scheduling algorithms to reduce the interference impact between carriers. A joint decoding method based on channel estimation is used to demodulate the signal of each carrier in parallel, and the received signals are integrated according to the time domain synchronization results of the carriers.

[0013] Furthermore, the specific method for dynamically adjusting each carrier based on network load and interference conditions includes: the network control center continuously monitors the network status, including user activities, data traffic patterns, and external interference sources; based on the monitored data, the network control center predicts the changing trend of the network load and adjusts the allocation of time slots accordingly; and analyzes the impact of network load and interference conditions on each carrier through machine learning, thereby optimizing the frequency band allocation of the carrier and reducing the frequency interference between different carriers; for example, in a high-traffic commercial area, the control center detects a surge in user activity within a specific time period, resulting in a peak in the data traffic pattern; based on these monitoring data, the network control center predicts future load changes and adjusts the time slot allocation in advance to ensure that network resources are optimally allocated and avoid overload; the control center deeply analyzes the impact of network load and interference conditions on each carrier through machine learning technology; through the machine learning model, the control center identifies which carriers are most interfered with, and optimizes the frequency band allocation of the carrier accordingly; for example, if the model finds that a carrier frequency band is often interfered with externally, the control center will adjust the frequency band of the carrier and migrate it to a frequency band with less interference, thereby reducing the frequency interference between different carriers.

[0014] Furthermore, the specific method of the synchronization signal calibration algorithm is as follows: the base station generates a synchronization signal carrying a timestamp, which is sent to the user equipment through a wireless channel; after the user equipment receives the synchronization signal, it uses its built-in clock system to decode the signal and compares it with its own clock time to measure the existing delay deviation; for example, if the user equipment moves in an urban environment, it will experience multipath propagation of the signal due to the obstruction of buildings, resulting in changes in signal delay; the user equipment feeds back the measured delay deviation information to the base station, and after receiving these feedbacks, the base station adjusts the transmission time slots of subsequent carriers to compensate for these delay deviations to ensure that multiple carriers can be accurately synchronized in the time domain; the synchronization signal calibration algorithm continuously monitors and analyzes the changes in delay, including factors such as the multipath effect of the wireless channel, signal attenuation, and the moving speed of the user equipment; these delay changes are processed by an adaptive filter, and future delay change trends are predicted by a machine learning model; for example, if the algorithm detects that the user equipment is moving at high speed, resulting in rapid changes in signal delay, the machine learning model predicts future delay changes based on historical data and the current moving speed, and adjusts the time slot allocation in advance to reduce synchronization errors.

[0015] Furthermore, the time slot aligned power scheduling mechanism is used to maintain transmission efficiency of multiple carriers in the 5G network; the link status information of each carrier is monitored and collected by the transmitter, including signal-to-noise ratio, signal strength, bit error rate and interference level; the link status information is used to reflect the communication quality and channel conditions of the current carrier; the transmitter evaluates the communication quality of each carrier through the link status information, and calculates the optimal transmission power of each carrier accordingly; after determining the optimal transmission power of each carrier, the transmitter automatically adjusts the transmission power through the power control unit, and performs real-time transmission power adjustment to respond to rapid changes in link status. Specifically, the time-slot aligned power scheduling mechanism is used to improve the efficiency and quality of multi-carrier transmission; the mechanism monitors and collects the link status information of each carrier in real time through the transmitter, which includes key parameters such as signal-to-noise ratio, signal strength, bit error rate and interference level; through these data, the transmitter evaluates the communication quality and channel conditions of the current carrier; for example, in a crowded urban environment, a carrier suffers from severe signal attenuation due to obstruction by high-rise buildings, resulting in a decrease in signal-to-noise ratio; based on these evaluations, the transmitter calculates the transmit power of each carrier and automatically adjusts it through the power control unit; if a carrier is detected to have a low signal-to-noise ratio, it is identified as an interference or attenuation problem, and the transmit power of the carrier is increased to improve signal quality; on the contrary, if the signal-to-noise ratio is high, indicating that the current communication conditions are good, the transmit power is reduced to save energy and reduce potential interference to other carriers.

[0016] Furthermore, multi-carrier collaborative interference management technology improves the transmission efficiency and signal quality of 5G networks. The specific methods include: the receiving end performs interference analysis on each carrier signal through interference suppression and signal separation algorithms, and identifies the interference source through real-time monitoring of the signal, including interference from other carriers and external noise; predicts the development trend of future interference by analyzing interference and external noise; based on the prediction results, an adaptive scheduling algorithm is used to optimize reception, and dynamically adjust the carrier's receiving parameters, including time slot allocation and receiving power, to adapt to changes in interference; for example, if it is predicted that a certain carrier will face high interference, the system can adjust the carrier's receiving window in advance to avoid interference peaks, or increase the receiving power to improve the signal-to-noise ratio of the signal.

[0017] Furthermore, the implementation of the interference suppression and signal separation algorithm begins with the real-time acquisition of multiple carrier signals at the receiving end. The signal separation algorithm identifies the interference signal by analyzing the characteristics of the signal, including power spectral density and autocorrelation, and distinguishes the useful signal from the interference signal through the characteristics of the signal; once the interference signal is identified, an adaptive filter adjustment is applied to reduce the impact of the interference, thereby maximizing the separation of the signal and the interference; independent component analysis is used to separate the collected signal into independent signals, and the separated signals are used to compensate for channel effects and improve signal quality, including equalization, symbol synchronization and channel coding; by comparing with known signal patterns, the signal separation algorithm identifies whether the separated signal is useful data.

[0018] Furthermore, the multipath delay compensation mechanism is implemented through the collaboration of the transmitter and the receiver, using pilot signals to estimate the propagation characteristics of the signal in a multipath environment; these pilot signals are captured by the receiver after being reflected and refracted on different propagation paths, and a channel impulse response model is constructed by analyzing the arrival time, phase and amplitude differences of these pilot signals; according to the channel impulse response system, the corresponding equalization technology is applied to each carrier signal; by adjusting the weight of the received signal, the equalizer corrects the signal to compensate for the delay spread and phase distortion caused by multipath propagation; the transmission parameters of the carrier, including coding and modulation methods, are dynamically adjusted to adapt to changes in channel conditions; for example, when the channel conditions are poor, the system selects a more powerful coding scheme or reduces the modulation order to improve the signal's anti-interference ability; changes in the channel state are monitored in real time, and the parameters and transmission of the equalizer are updated according to the latest channel estimation results.

[0019] Furthermore, the channel impulse response model is implemented through the collaboration of the transmitter and the receiver. The transmitter estimates the propagation characteristics of the signal in a multipath environment through a pilot signal. The pilot signal is captured by the receiver after being reflected and refracted on different propagation paths. The receiver analyzes the arrival time, phase and amplitude of the pilot signal and constructs an impulse response model of the channel. The impact of the channel on the signal is estimated through statistical analysis methods. According to the propagation characteristics of the pilot signal, the path loss, delay spread and multipath components of the channel are estimated, thereby forming a model of how the channel affects signal propagation, which is used to describe the propagation characteristics of the signal in a multipath environment, including signal attenuation, delay and phase change.

[0020] Furthermore, the receiving end performs accurate channel estimation and uses known pilot signals and maximum likelihood estimation to obtain channel status information, including the channel's fading coefficient, delay, and multipath components. The receiving end demodulates the signal of each carrier in parallel, and the signal of each carrier is processed independently, using the channel estimation result to compensate for the distortion caused by the channel. The demodulation process includes matched filtering, sampling, and symbol decision. After the demodulation is completed, the receiving end integrates and aligns the demodulated signals of each carrier according to the carrier's time domain synchronization result. The time slot synchronization information is used to align the demodulation results of each carrier to ensure the timing consistency of the signal. During the integration process, the information of multiple carriers is combined through soft merging to improve the overall signal quality.

[0021] (III) Beneficial effects

[0022] The present invention provides a 5G-based time division duplex multi-carrier synchronous transmission method, which has the following beneficial effects:

[0023] 1. The present invention effectively avoids cross interference between frequency bands and improves spectrum utilization and transmission efficiency by dynamically adjusting carrier time slot allocation.

[0024] 2. The present invention realizes accurate delay compensation between carriers, ensures strict alignment of transmission time slots, and thus improves the synchronization accuracy and signal quality of the network.

[0025] 3. The present invention enables the network control center to predict load changes and interference conditions, realize intelligent resource management, and enhance the network's adaptability to dynamic changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] In the 5G network, the core task of the network control center is to allocate independent time slots to each carrier according to the time division duplex mode of the 5G wireless communication system, and dynamically adjust these time slots to cope with different network loads and interference conditions; during the implementation process, the network control center first allocates appropriate time slots to each carrier according to the preset time division duplex mode, and adjusts the time slot allocation according to the working conditions of the frequency band and the interference level in different time periods; for example, if it is predicted that the network load in a certain area will increase, the network control center will allocate more time slots to the carrier in that area in advance, or adjust the operating frequency band of the carrier to avoid overload and reduce interference.

[0029] The network control center continuously tracks the network status through real-time monitoring technology, and combines machine learning algorithms to predict network load and interference. For example, in a busy urban commercial area, the network control center recognizes a surge in user activity during a certain period of time, causing a significant increase in network load. In this case, the network control center predicts future load change trends based on historical data and real-time traffic, and adjusts the time slot allocation of each carrier based on the predicted results to ensure that network traffic is effectively managed and to avoid communication delays or packet loss under high load.

[0030] The delay compensation between the base station and the user equipment ensures that the time slots of multiple carriers are strictly aligned. The base station needs to provide the user equipment with an accurate synchronization signal; the synchronization signal carries a timestamp. After the user equipment receives the signal, it can measure the delay deviation by comparing it with its own clock; for example, when the user equipment moves in an urban environment, the obstruction of buildings and the multipath effect cause the signal delay to change. At this time, the user equipment will feedback the corresponding delay deviation information to the base station; after receiving the feedback, the base station will adjust the time slots of subsequent carriers to compensate for the delay deviation, thereby ensuring that the transmission time slots of multiple carriers can be accurately synchronized.

[0031] A synchronization signal calibration algorithm is used between the base station and the user equipment to achieve delay compensation. The transmission of the synchronization signal is not only affected by multipath propagation, but also by interference from factors such as signal attenuation and the movement speed of the user equipment. Therefore, the base station and the user equipment work together to monitor the changes in the signal in real time and compensate for the delay changes through an adaptive filter. At the same time, the machine learning model predicts the future delay change trend based on historical data, thereby adjusting the time slot allocation in advance and reducing synchronization errors.

[0032] During multi-carrier synchronous transmission, a power scheduling mechanism based on time slot alignment is used to ensure network transmission quality. This mechanism dynamically adjusts the transmission power of each carrier by real-time monitoring of the link status information of each carrier, including key parameters such as signal-to-noise ratio, bit error rate, and signal strength. For example, in an urban environment with dense high-rise buildings, some carriers will experience severe signal attenuation due to the blocking effect of high-rise buildings, resulting in a decrease in signal-to-noise ratio. In this case, the base station will increase the signal transmission power to ensure signal stability and communication quality.

[0033] To further improve transmission efficiency, multi-carrier collaborative interference management technology is adopted; by performing interference analysis on the signal at the receiving end, the interference source is identified in real time, especially the interference from other carriers or external noise; by predicting and analyzing the interference source, an adaptive scheduling algorithm is used to adjust the time slot allocation and receiving power at the receiving end to avoid signal loss or quality degradation during peak interference periods; for example, if it is predicted that a certain carrier is about to face high interference, the system can adjust the receiving window of the carrier in advance, or increase the receiving power, to improve the signal's anti-interference ability.

[0034] In 5G communications, the multipath effect of the channel is an important factor affecting signal quality. Pilot signals are used to estimate the propagation characteristics of the signal in a multipath environment in real time. At the transmitting end, the base station uses these pilot signals to estimate the propagation path of the signal and constructs a channel impulse response model by analyzing the signal arrival time, phase and amplitude differences. At the receiving end, the system accurately estimates the channel through maximum likelihood estimation, thereby obtaining key information such as fading coefficient, delay and multipath component.

[0035] Based on the results of channel estimation, the receiver will demodulate the signal of each carrier in parallel, process the signal of each carrier separately, and use the channel parameters to compensate for the distortion caused by the channel; for example, when the channel conditions are poor, the receiver will select a stronger coding scheme or reduce the modulation order to improve the signal's anti-interference ability.

[0036] The reception of multi-carrier signals requires not only independent demodulation of each carrier, but also precise time domain synchronization at the receiving end. Through the time slot synchronization information, the receiving end can ensure the consistency of signals of different carriers in the time domain, and integrate and align the signals of these carriers through soft merging. The integrated signal can effectively improve the overall signal quality, thereby improving the reliability of transmission. For example, when the receiving end performs parallel demodulation, it is affected by factors such as multipath effects and fading, which reduces the signal quality of a single carrier. By integrating the information of multiple carriers, the receiving end can effectively improve the robustness of the system, offset some signal losses, and enhance the signal's anti-interference ability.

[0037] The present invention is based on the 5G time-division duplex multi-carrier synchronous transmission method. Through the close cooperation between the network control center, base station and user equipment, it greatly improves the transmission efficiency and signal quality of the network, and provides a solid technical guarantee for the development of 5G and future networks.

[0038] The method is applicable to base station systems and base station plus repeater extended coverage systems, and is particularly applicable to distributed wireless systems, including optical fiber remote distributed systems, cable remote frequency shift repeater systems, etc.

[0039] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A time division duplex multi-carrier synchronous transmission method based on 5G, characterized in that: include: In the network control center, according to the time division duplex mode of the 5G wireless communication system, an independent time slot and working frequency band are pre-allocated to each carrier, and each carrier is dynamically adjusted based on the network load and interference conditions. The specific method includes: the network control center continuously monitors the network status, including user activities, data traffic patterns, and external interference sources. Based on the monitored data, the network control center predicts the change trend of the network load and adjusts the allocation of time slots accordingly. The impact of the network load and interference conditions on each carrier is analyzed through machine learning, thereby optimizing the frequency band allocation of the carrier and reducing the frequency interference between different carriers; The synchronization signal calibration algorithm is used at the base station and user equipment to compensate the delay of each carrier in real time, so that the transmission time slots of multiple carriers are strictly aligned; the delay deviation of each carrier is dynamically measured, and the start time of the time slot is adjusted according to the measured delay deviation; A power scheduling mechanism based on time slot alignment is used at the transmitting end to adjust the transmission power of each carrier according to the real-time communication quality of each carrier; A multipath delay compensation mechanism is used during signal transmission to reduce signal attenuation caused by channel fading and multipath effects; At the receiving end, a multi-carrier collaborative interference management technology is used to analyze each carrier signal, and the receiving strategy of the multi-carrier signal is optimized through interference prediction and adaptive scheduling algorithms to reduce the interference impact between carriers; the multi-carrier collaborative interference management technology is used to improve the transmission efficiency and signal quality of the 5G network. The specific method includes: the receiving end performs interference analysis on each carrier signal through interference suppression and signal separation algorithms, and identifies the interference source through real-time monitoring of the signal, including interference from other carriers and external noise; predicts the development trend of future interference by analyzing interference and external noise; based on the prediction results, an adaptive scheduling algorithm is used to optimize reception, and dynamically adjust the carrier's receiving parameters, including time slot allocation and receiving power, to adapt to changes in interference; A joint decoding method based on channel estimation is adopted to demodulate the signal of each carrier in parallel and perform integration and alignment.

2. A 5G-based time division duplex multi-carrier synchronous transmission method according to claim 1, characterized in that: The specific method of the synchronization signal calibration algorithm is as follows: the base station generates a synchronization signal, which carries a timestamp, and sends it to the user equipment through a wireless channel; after the user equipment receives the synchronization signal, it decodes it using a built-in clock system and compares it with its own clock to compare the existing delay deviation; The delay deviation information is then fed back to the base station, which adjusts the transmission time slot of subsequent carriers based on the feedback to compensate for the delay deviation; the synchronization signal calibration algorithm continuously monitors and analyzes delay changes, including the multipath effect of the wireless channel, signal attenuation, and the movement speed of the user equipment; the synchronization signal calibration algorithm uses adaptive filters and machine learning to predict and compensate for these delay changes.

3. The 5G-based time division duplex multi-carrier synchronous transmission method according to claim 1, characterized in that: The time slot aligned power scheduling mechanism is used to maintain the transmission efficiency of multiple carriers in the 5G network; the link status information of each carrier is monitored and collected by the transmitter, including signal-to-noise ratio, signal strength, bit error rate and interference level; the link status information is used to reflect the communication quality and channel conditions of the current carrier; the transmitter evaluates the communication quality of each carrier through the link status information, and calculates the optimal transmission power of each carrier accordingly; after determining the optimal transmission power of each carrier, the transmitter automatically adjusts the transmission power through the power control unit, and performs real-time transmission power adjustment to respond to rapid changes in the link status.

4. The 5G-based time division duplex multi-carrier synchronous transmission method according to claim 1, characterized in that: The implementation of the interference suppression and signal separation algorithm begins with the real-time acquisition of multiple carrier signals by the receiving end. The signal separation algorithm identifies the interference signal by analyzing the characteristics of the signal, including power spectrum density and autocorrelation, and distinguishes the useful signal from the interference signal through the characteristics of the signal; once the interference signal is identified, the adaptive filter is adjusted to reduce the impact of the interference, thereby maximizing the separation of the signal and the interference; Independent component analysis is used to separate the collected signal into independent signals. The separated signals are used to compensate for channel effects and improve signal quality, including equalization, symbol synchronization and channel coding. By comparing with known signal patterns, the signal separation algorithm identifies whether the separated signal is useful data.

5. The 5G-based time division duplex multi-carrier synchronous transmission method according to claim 1, characterized in that: The multipath delay compensation mechanism estimates the propagation characteristics of the signal in a multipath environment by using pilot signals through the collaboration of the transmitting end and the receiving end; these pilot signals are captured by the receiving end after being reflected and refracted on different propagation paths, and a channel impulse response model is constructed by analyzing the arrival time, phase and amplitude differences of these pilot signals; according to the channel impulse response model, the corresponding equalization technology is applied to each carrier signal; by adjusting the weight of the received signal, the equalizer corrects the signal to compensate for the delay spread and phase distortion caused by multipath propagation; the transmission parameters of the carrier, including coding and modulation methods, are dynamically adjusted to adapt to changes in channel conditions; the changes in the channel state are monitored in real time, and the parameters and transmission of the equalizer are updated according to the new channel estimation results.

6. A 5G-based time division duplex multi-carrier synchronous transmission method according to claim 5, characterized in that: The channel impulse response model is realized through the cooperation of a transmitting end and a receiving end, including: the transmitting end estimates the propagation characteristics of the signal in a multipath environment through a pilot signal; the pilot signal is captured by the receiving end after being reflected and refracted on different propagation paths, and the receiving end analyzes the arrival time, phase and amplitude of the pilot signal and constructs a channel impulse response model; the influence of the channel on the signal is estimated through a statistical analysis method, and the path loss, delay spread and multipath component of the channel are estimated according to the propagation characteristics of the pilot signal, thereby forming a model about how the channel affects the signal propagation, which is used to describe the propagation characteristics of the signal in a multipath environment, including the attenuation, delay and phase change of the signal.

7. The 5G-based time division duplex multi-carrier synchronous transmission method according to claim 1, characterized in that: The joint decoding method based on channel estimation performs channel estimation at the receiving end, and uses pilot signals and maximum likelihood estimation to obtain channel status information, including channel fading coefficients, delays, and multipath components; the receiving end performs parallel demodulation on the signal of each carrier, and the signal of each carrier is processed independently, and the result of channel estimation is used to compensate for the distortion caused by the channel; after the parallel demodulation is completed, the receiving end integrates the demodulated signals of each carrier according to the time domain synchronization result of the carrier.

8. The 5G-based time division duplex multi-carrier synchronous transmission method according to claim 1, characterized in that: The integration process combines the signals of each carrier based on the channel estimation results to eliminate signal distortion and interference caused by multipath propagation; during the integration process, the receiving end considers the channel characteristics and delay differences of each carrier signal, and makes the signal merger consistent through time alignment and phase adjustment; through signal integration, the transmission efficiency of each carrier is optimized while reducing interference between signals.

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