A method and system for managing channel allocation in 5G message transmission
Patent Information
- Application Number
- CN202610614416.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-07
- Publication Date
- 2026-10-16
- Estimated Expiration
- 2046-05-07
AI Technical Summary
[0005]本发明旨在解决物理层下行控制信令开销过大以及突发业务接入延迟较高的问题
1、在5G消息发送中,通过解析缓冲状态报告中的目标业务标识,配合物理层通道质量指示以及采样时间偏差,构建多维度的资源分配决策机制,该机制改变传统无线资源管理中业务承载对控制通道授权信令的强耦合关系,在业务并发强度接近控制通道元素承载极限时,通过触发隐式映射路径,避免控制通道阻塞引发的突发短流超时丢包现象,提升系统在极端并发工况下的接入稳定性。
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Figure CN122420759B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of wireless resource scheduling and management technology for mobile communication access networks, and particularly relates to a channel allocation management method and system for 5G message transmission. Background Technology
[0002] With the evolution of rich media communication services such as 5G messaging, wireless access networks are facing high-frequency, short-byte, and transient burst transmission pressures. 5G messages are presented as discrete, fragmented data streams over the air interface. In the existing signaling and bearer coupled architecture, each uplink or downlink data transmission requires corresponding independent downlink control information. When a massive number of terminals initiate message interactions concurrently, the load on the control channel elements in the physical downlink control channel increases dramatically, causing control plane signaling to become blocked under high-frequency scheduling. This physical constraint on data plane transmission capacity due to the depletion of control plane resources limits the network's ability to support bursty short-flow services.
[0003] Existing improvement solutions typically employ methods such as increasing logical channel priority or reserving static resources. Increasing priority only adjusts the task queuing order and does not eliminate the signaling overhead occupied by generating downlink control information. While reserving static resources can reduce authorization latency, it results in idle physical resource blocks during service quiet periods and is difficult to adapt to the unpredictable burst timing of 5G messages. Due to the rigid coupling between control plane signaling generation and data plane payload transmission, the consumption rate of downlink control resources far exceeds the utilization rate of uplink data resources, forming an asymmetric resource constraint in the communication link. In addition to hardware structure parameter adaptation, protocol control logic... There are also limitations at the software level. For example, Chinese invention patent application CN119697811A discloses a PDCCH monitoring control method, device, terminal, network-side equipment and medium. It uses the network side to configure the cell's discontinuous transmission DTX or receive DRX status to adjust the terminal's downlink control channel monitoring behavior. It does not break away from the rigid scheduling framework of request authorization. When facing high-concurrency 5G message services, passively changing the monitoring timing or switching the search space group cannot eliminate the inherent overhead of the signaling channel caused by downlink control information. Transient burst data arriving during the inactive period needs to wait for a specific activation window or handshake period, introducing access latency.
[0004] Therefore, how to establish a dynamic resource allocation path that is exempt from independent authorization based on the characteristics of business flow and the evolution of channels, and resolve the technical contradiction between control signaling congestion and sudden data latency, has become the technical problem to be solved by this invention. Summary of the Invention
[0005] This invention aims to solve the problems of excessive downlink control signaling overhead at the physical layer and high latency for sudden service access.
[0006] In this technical solution, a channel allocation management method for 5G message transmission includes the following steps: Step S1: The base station obtains the buffer status report reported by the terminal, and parses it to obtain the logical channel identifier and the first buffer data volume; Step S2: In response to the logical channel identifier matching the preset target service identifier, sample the channel quality indication fed back from the underlying physical layer; Step S3: Calculate the dynamic scheduling weight based on the first buffer data volume, the channel quality indicator, and the sampling delay; wherein, the sampling delay represents the time deviation between the sampling time point of the channel quality indicator and the starting point of the current transmission time interval. Step S4: Compare the dynamic scheduling weight with the first threshold, and compare the sampling delay with the preset time threshold; Step S5: In response to the dynamic scheduling weight exceeding the first threshold and the sampling delay being lower than the timeliness threshold, the base station and the terminal synchronously skip the scheduling authorization process of the physical downlink control channel; the pseudo-random sequence generator is initialized using the terminal's cell radio network temporary identifier and the current system frame number, and an uplink implicit mapping mask is synchronously generated. In step S6, the terminal physically maps the Media Access Control Protocol (MAC) data unit onto the resource elements of the physical uplink shared channel based on the uplink implicit mapping mask and initiates transmission; at the same time, the base station performs blind detection within the resource grid of the physical uplink shared channel based on the locally generated uplink implicit mapping mask, and establishes a deterministic mapping relationship between the physical layer transmission coordinates of the terminal and the blind detection coordinates of the base station.
[0007] Preferably, step S3 specifically includes the following sub-steps: Step S31, recording the most recent sampling time of the channel quality indicator; Step S32, calculating the difference between the sampling time and the start time of the current transmission time slot to generate a sampling delay, the unit of which is... Step S33: Map the sampling delay to a preset exponential decay function and calculate the time-compensation gain of the dynamic scheduling weight.
[0008] Preferably, in step S5, the process of generating the uplink implicit mapping mask includes: step S51, extracting the binary sequence of the temporary identifier of the cell radio network and the logical value of the current system frame number; step S52, using the combination of the binary sequence and the logical value as the initial seed of the pseudo-random sequence generator to generate a logical sequence for locking the physical resource grid coordinates.
[0009] Preferably, the method further includes a micro-punch mechanism triggered based on dynamic scheduling weights. The micro-punch mechanism includes the following steps: scanning the candidate physical resource block grid allocated to non-guaranteed bit rate services within the current transmission time interval; constructing a fragmented resource mapping mask; and physically overwriting the payload data of the 5G message on a specific orthogonal frequency division reusable symbol bit within the candidate physical resource block grid.
[0010] Preferably, the micro-punch mechanism also includes: forcibly taking over a specific hybrid automatic repeat request process identifier, and compressing the timing feedback window of the hybrid automatic repeat request process to... .
[0011] Preferably, before step S1, the method further includes: reading terminal capability information elements during the radio resource control connection establishment phase; and authorizing the activation of the uplink implicit mapping mask synchronization generation logic when the terminal's capability parameters meet the preset ultra-reliable low-latency communication standard.
[0012] Preferably, in step S6, the header of the Media Access Control Protocol data unit includes a logical flag bit, which is used to indicate that this transmission is initiated through unauthorized implicit injection mode.
[0013] Preferably, the method further includes: monitoring the buffer status report trigger frequency of 5G messages; and when the transient response level of uplink burst traffic is detected to exceed a preset threshold, forcibly switching to the unlicensed scheduling mode defined by the uplink implicit mapping mask.
[0014] Preferably, in step S6, during the blind detection process, the base station demodulates the resource elements within a preset synchronization detection window and completes identity decoding based on the temporary identifier of the cell wireless network, thus completing the closed-loop transition of the protocol state machine.
[0015] A channel allocation management system for 5G message transmission, used to implement a channel allocation management method for 5G message transmission, comprising: The identifier acquisition module is used to acquire the temporary identifier of the terminal's cell wireless network and the current system frame number; The channel sampling module is used to sample the channel quality indication fed back by the underlying physical layer after the identifier acquisition module parses and obtains the logical channel identifier. The calculation and processing module is used to calculate the dynamic scheduling weight based on the first buffer data volume, channel quality indicator and sampling delay; The logic comparison module is used to compare the dynamic scheduling weight with the first threshold and the sampling delay with the preset time threshold. The sequence generation module is used to initialize the pseudo-random sequence generator with the cell wireless network temporary identifier and the current system frame number when the dynamic scheduling weight exceeds the first threshold and the sampling delay is lower than the timeliness threshold, and synchronously generate the uplink implicit mapping mask. The resource mapping module is used to physically map Media Access Control Protocol (MAC) data units to resource elements of the physical uplink shared channel based on the uplink implicit mapping mask.
[0016] Compared with existing technologies, the channel allocation and management method for 5G message transmission of the present invention has the following advantages: 1. In 5G message transmission, by parsing the target service identifier in the buffer status report, and in conjunction with the physical layer channel quality indicator and sampling time deviation, a multi-dimensional resource allocation decision mechanism is constructed. This mechanism changes the strong coupling relationship between service bearer and control channel authorization signaling in traditional wireless resource management. When the service concurrency intensity approaches the limit of the control channel element, the implicit mapping path is triggered to avoid the sudden short-flow timeout packet loss caused by control channel blockage, thereby improving the access stability of the system under extreme concurrency conditions.
[0017] 2. By leveraging the synchronization characteristics of terminal identifiers and system frame numbers on the base station and terminal sides, and combining dynamically generated scheduling weights, a deterministic resource mapping mask is established at both the transmitting and receiving ends. This state-mirror-based quasi-unlicensed transmission mode eliminates the round-trip handshake cycle of waiting for uplink authorization after the terminal reports the buffer state. It compresses the air interface access latency of burst data from the traditional millisecond-level handshake delay to the physical layer transmission time interval level, meeting the stringent requirements of short-byte rich media messages for transient response speed.
[0018] 3. A micro-punch mechanism based on dynamic scheduling weights is adopted to physically overwrite high-priority message payloads onto the pre-allocated resource grid of non-guaranteed bit rate services. This process achieves in-depth mining of the residual transmission capacity of the air interface by fragmenting and reorganizing the existing physical resource block grid without generating new downlink control information overhead, so that the signaling generation capacity of the control channel no longer becomes the physical boundary restricting the system throughput capacity. Attached Figure Description
[0019] Figure 1 This is a flowchart of the dynamic weight scheduling and channel allocation management method for 5G message sending in this invention; Figure 2 This is a logic block diagram of the uplink implicit mapping mask generation and physical resource grid coordinate locking of the present invention. Detailed Implementation
[0020] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.
[0021] It should be noted that all directional and positional terms used in this invention, such as: up, down, left, right, front, back, vertical, horizontal, inner, outer, top, bottom, transverse, longitudinal, center, etc., are only used to explain the relative positional relationship and connection between components in a specific state (as shown in the accompanying drawings). They are only for the convenience of describing this invention and do not require that this invention be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention. In addition, the descriptions of "first," "second," etc., in this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated.
[0022] In the description of this invention, unless otherwise explicitly specified and limited, the terms installation, connection, and linking should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections; they can refer to direct connections or indirect connections through an intermediate medium; they can refer to the internal connection of two components. For those skilled in the art, the specific meaning of the above terms in this invention can be understood according to the specific circumstances.
[0023] In the description of this specification, references to the terms "an embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example, and the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.
[0024] A channel allocation management method for 5G message transmission includes the following steps: Step S1: The base station obtains the buffer status report reported by the terminal, and parses it to obtain the logical channel identifier and the first buffer data volume; Step S2: In response to the logical channel identifier matching the preset target service identifier, sample the channel quality indication fed back from the underlying physical layer; Step S3: Calculate the dynamic scheduling weight based on the first buffer data volume, the channel quality indicator, and the sampling delay; wherein, the sampling delay represents the time deviation between the sampling time point of the channel quality indicator and the starting point of the current transmission time interval. Step S4: Compare the dynamic scheduling weight with the first threshold, and compare the sampling delay with the preset time threshold; Step S5: In response to the dynamic scheduling weight exceeding the first threshold and the sampling delay being lower than the timeliness threshold, the base station and the terminal synchronously skip the scheduling authorization process of the physical downlink control channel; the pseudo-random sequence generator is initialized using the terminal's cell radio network temporary identifier and the current system frame number, and an uplink implicit mapping mask is synchronously generated. In step S6, the terminal physically maps the Media Access Control Protocol (MAC) data unit onto the resource elements of the physical uplink shared channel based on the uplink implicit mapping mask and initiates transmission; at the same time, the base station performs blind detection within the resource grid of the physical uplink shared channel based on the locally generated uplink implicit mapping mask, and establishes a deterministic mapping relationship between the physical layer transmission coordinates of the terminal and the blind detection coordinates of the base station.
[0025] Preferably, step S3 specifically includes the following sub-steps: Step S31, recording the most recent sampling time of the channel quality indicator; Step S32, calculating the difference between the sampling time and the start time of the current transmission time slot to generate a sampling delay, the unit of which is... Step S33: Map the sampling delay to a preset exponential decay function and calculate the time-compensation gain of the dynamic scheduling weight.
[0026] Preferably, in step S5, the process of generating the uplink implicit mapping mask includes: step S51, extracting the binary sequence of the temporary identifier of the cell radio network and the logical value of the current system frame number; step S52, using the combination of the binary sequence and the logical value as the initial seed of the pseudo-random sequence generator to generate a logical sequence for locking the physical resource grid coordinates.
[0027] Preferably, the method further includes a micro-punch mechanism triggered based on dynamic scheduling weights. The micro-punch mechanism includes the following steps: scanning the candidate physical resource block grid allocated to non-guaranteed bit rate services within the current transmission time interval; constructing a fragmented resource mapping mask; and physically overwriting the payload data of the 5G message on a specific orthogonal frequency division reusable symbol bit within the candidate physical resource block grid.
[0028] Preferably, the micro-punch mechanism also includes: forcibly taking over a specific hybrid automatic repeat request process identifier, and compressing the timing feedback window of the hybrid automatic repeat request process to... .
[0029] Preferably, before step S1, the method further includes: reading terminal capability information elements during the radio resource control connection establishment phase; and authorizing the activation of the uplink implicit mapping mask synchronization generation logic when the terminal's capability parameters meet the preset ultra-reliable low-latency communication standard.
[0030] Preferably, in step S6, the header of the Media Access Control Protocol data unit includes a logical flag bit, which is used to indicate that this transmission is initiated through unauthorized implicit injection mode.
[0031] Preferably, the method further includes: monitoring the buffer status report trigger frequency of 5G messages; and when the transient response level of uplink burst traffic is detected to exceed a preset threshold, forcibly switching to the unlicensed scheduling mode defined by the uplink implicit mapping mask.
[0032] Preferably, in step S6, during the blind detection process, the base station demodulates the resource elements within a preset synchronization detection window and completes identity decoding based on the temporary identifier of the cell wireless network, thus completing the closed-loop transition of the protocol state machine.
[0033] A channel allocation management system for 5G message transmission, used to implement a channel allocation management method for 5G message transmission, comprising: The identifier acquisition module is used to acquire the temporary identifier of the terminal's cell wireless network and the current system frame number; The channel sampling module is used to sample the channel quality indication fed back by the underlying physical layer after the identifier acquisition module parses and obtains the logical channel identifier. The calculation and processing module is used to calculate the dynamic scheduling weight based on the first buffer data volume, channel quality indicator and sampling delay; The logic comparison module is used to compare the dynamic scheduling weight with the first threshold and the sampling delay with the preset time threshold. The sequence generation module is used to initialize the pseudo-random sequence generator with the cell wireless network temporary identifier and the current system frame number when the dynamic scheduling weight exceeds the first threshold and the sampling delay is lower than the timeliness threshold, and synchronously generate the uplink implicit mapping mask. The resource mapping module is used to physically map Media Access Control Protocol (MAC) data units to resource elements of the physical uplink shared channel based on the uplink implicit mapping mask.
[0034] Example 1: In a high-concurrency emergency response scenario of the Industrial Internet of Things (IIoT), when a pipeline pressure anomaly is triggered, the field sensing terminal sends high-frequency rich media alarm information via the 5G message uplink. The media access control layer of the access network base station receives the transient concurrent data stream. The buffer status report reported by the terminal causes queuing backlog on the base station side. Due to the coupling mechanism between signaling and bearer, the control channel elements in the physical downlink control channel tend to be saturated. At this time, since the traditional uplink scheduling request has become invalid due to the exhaustion of downlink control resources, the terminal directly utilizes the unlicensed uplink physical control channel resource pool pre-allocated during the wireless resource control connection establishment phase to implicitly send a single physical layer sequence with a length of one... A mini buffer status report of up to two bytes is generated. At the corresponding reserved orthogonal carrier position, the base station's underlying physical layer blindly decodes this mini buffer status report using energy detection and sequence matching mechanisms and reports it directly to the media access control layer. This ensures that even when the physical downlink control channel is completely saturated, the base station can still continuously obtain terminal buffer capacity and identification data for weight calculation. The base station's media access control layer extracts the buffer status report reported by the terminal, parses it to obtain the logical channel identifier and the first buffer data volume. When the logical channel identifier matches a preset 5G message feature identifier, the media access control layer samples the channel quality indication fed back by the underlying physical layer and calculates the dynamic scheduling weight. ,in, For dynamic scheduling weights, This is the first buffer data size. The preset reference buffer capacity extreme value For channel quality indication, A step mapping function for channel quality indication. and As a preset constant adjustment factor, the media access control layer monitors the sampling delay in real time. This sampling delay characterizes the time deviation between the sampling time point of the channel quality indicator and the starting point of the current transmission time interval. In the discrete-time Markov channel state transition model, the physical stability of the channel state information decays exponentially over time. Based on this, the media access control layer calculates the time-compensation gain, which is equal to the natural constant raised to the power of its exponent. The channel decoherence constant, which is negative, is the product of the channel decoherence constant and the sampling delay. The channel decoherence constant is obtained through calibration using historical measured data of Doppler frequency shift recorded by the local cell baseband unit and constrained to be a positive real number to ensure that the time-compensation gain falls within the zero-to-one convergence interval. The specific calibration and conversion logic is as follows: the baseband unit statistically analyzes the reference signal measurement data reported by all active terminals in the past 24 hours and... The mean Doppler frequency shift is taken; the quotient of the speed of light and the carrier frequency is used as the wavelength of the electromagnetic wave, and the product of the mean Doppler frequency shift and the wavelength is calculated to obtain the statistical average motion rate of the terminal group; based on the classical Bessel autocorrelation function model, the time span corresponding to the decay of the channel autocorrelation coefficient to 0.5 is extracted as the initial coherence time, and the reciprocal of the initial coherence time is multiplied by the channel multipath extension attenuation factor measured by the baseband unit, thereby converting the Hertz-level frequency variable into the millisecond inverse-order time decay rate constant. The media access control layer directly multiplies the time compensation gain as a multiplicative attenuation factor into the channel quality indicator ladder mapping function polynomial to output the dynamic scheduling weight. When the calculated dynamic scheduling weight exceeds the first threshold and the sampling delay is lower than the time threshold, the base station and the terminal synchronously skip the scheduling authorization process of the physical downlink control channel.
[0035] The media access control (MAC) layers of both the terminal and the base station extract the current system frame number and the terminal's cell radio network temporary identifier, respectively. These are then input into a preset pseudo-random sequence generator. Simultaneously, uplink implicit mapping masks are generated at both ends for the current transmission time interval. Since the mask generation logic is based on local state mirroring, the terminal does not wait for downlink control information containing uplink authorization. Based on the uplink implicit mapping mask, the generated MAC data units are physically mapped to resource elements of the physical uplink shared channel. The base station's underlying physical layer performs blind detection verification in the corresponding resource grid area based on the same locally generated mask. During this physical mapping process, the MAC layer executes a micro-punch mechanism, scanning and locating the current candidate service by reading the resource allocation bitmap of the non-guaranteed bit rate service pre-broadcast by the base station. Select a physical resource block grid; use the generated uplink implicit mapping mask to extract specific segments; perform modulo operation on the index of the orthogonal frequency division reuse symbol located after the demodulation reference signal in the candidate grid to lock the target symbol bit and physically overwrite the payload data of the 5G message. To ensure the communication continuity of the overwritten service, the terminal's media access control layer sends a control primitive containing a specified identifier to the underlying physical layer while initiating the overwrite, forcibly locking and taking over the corresponding hybrid automatic repeat request process; and puts a one-bit compressed identifier in the header of the protocol data unit. After the base station side physical layer detects and demodulates the identifier in the target symbol bit blindly, it drives the internal state machine to synchronously compress the timing feedback window of the hybrid automatic repeat request process from multiple standard time slots to one millisecond, ensuring that the acknowledgment or non-acknowledgment state can be quickly closed-looped.
[0036] Through the aforementioned unauthorized uplink implicit injection process based on state mirroring, the system offloads the dependence of uplink short byte data transmission on physical downlink control channel signaling, completes the concurrent injection of 5G messages without generating overhead for new control channel elements, restores the normal scheduling capability of the physical downlink control channel due to the transfer of signaling load, and compresses the air interface access latency of 5G messages to the level of physical layer transmission time interval. The system opens up a throughput dimension within the control plane resource boundary, realizes the decoupling of control signaling generation capacity and data plane payload transmission capability, and supports the scale of sudden short-flow services under high concurrency conditions.
[0037] Example 2: This experiment utilizes a 5G system-level simulation platform to verify the wireless resource scheduling performance under high-concurrency 5G messaging conditions. The experimental environment establishes a rich media communication traffic model based on 3GPP TR38.802, simulating the objective process of thousands of terminals initiating short-byte uplink transmissions within the same transmission time interval. The experimental data originates from the simulated terminal behavior trajectories and wireless channel fading matrices generated by the simulation platform. The wireless channel model conforms to the spatial channel model specifications in the 5G New Radio standard. To simulate channel feedback deviations in a real industrial environment, a Gaussian random perturbation with a variance of 2.5 dB is actively superimposed on the feedback uplink quality information. The system sampling period is... The sampling period is set to 1ms to ensure real-time scheduling decisions. This sampling period is determined based on a trade-off between system throughput and base station processor workload. When the sampling period is greater than 1ms, the system cannot capture small-scale fading characteristics of the wireless channel; when the sampling period is less than 1ms, the scheduling signaling generation rate of the Media Access Control (MAC) layer exceeds the control plane processing limit. For this typical operating condition, the sampling period is fixed at 1ms to form the experimental baseline. In the standard load test phase, the total number of terminals is set to 1000. The control group uses the standard 3GPP licensed scheduling method, while the experimental group uses the method of this invention. The base station's MAC layer extracts the buffer status reports reported by each terminal and identifies the target service based on the logical channel identifier. The experimental group calculates dynamic scheduling weights. Triggering the unauthorized mapping process, where the adjustment factor Set to 0.6. With a setting of 0.4 and under 15dB background noise interference, the experimental group calculated the dynamic scheduling weight. It fluctuates between 0.85 and 2.14, when When the sampling delay exceeds the first threshold of 1.2ms and is less than the timeliness threshold of 0.5ms, the base station and the terminal synchronously switch to the uplink implicit mapping mask transmission mode. At this time, the occupancy rate of the control channel element in the physical downlink control channel of the test group is stable at 43.6%, while the occupancy rate of the control channel element in the control group rises to 96.8% due to the frequent issuance of uplink authorizations, which causes the signaling grid to saturate and generates queuing delay for subsequent 5G message packets. The average 5G message air interface access delay measured by the test group is 1.12ms, while the average access delay of the control group rises to 8.45ms.
[0038] During the gradient verification phase at the critical parameter boundaries, the nonlinear effects of system performance were examined by increasing the number of concurrent terminals. When the number of concurrent terminals increased from 1000 to 2500, the packet loss rate of the control group increased from 0.5% to 12.4% due to the inability of the physical downlink control channel to carry downlink control information, demonstrating the inflection point of channel overload degradation. The experimental group, by using an unlicensed injection mechanism based on state mirroring to maintain the uplink authorized signaling overhead at a fixed level, achieved a packet loss rate of 0.78% when the number of terminals reached 2500, and the average air interface latency of 5G messages remained below 2.15ms, without exhibiting an exponential increase in latency due to the increase in concurrency, indicating that the solution is effective. By physically decoupling data payload from control signaling, the access network system maintains payload throughput within the physical boundaries of limited control resources. This verifies that the first threshold of 1.2ms and the timeliness threshold of 0.5ms together constitute the working window under high-concurrency disturbance environments. Addressing the problem of physical resource block grid overlap inevitably caused by massive terminal concurrency, this scheme, based on coarse-grained mapping of time-frequency resources using uplink implicit mapping masks, extracts the last bit of the pseudo-random sequence generator output sequence and uses it as the selection pattern of the sparse interleaving matrix and the cyclic shift factor of the demodulation reference signal. When the payloads of multiple terminals are mapped to the same time-frequency resource element, due to the different cell wireless networks of each terminal... The temporary identifiers differ, and the phase offsets and spatial interleaving patterns of the demodulation reference signals generated at the underlying layer are mutually orthogonal. After receiving the superimposed and mixed RF waveforms, the base station physical layer uses a continuous interference cancellation algorithm to estimate, reconstruct, and strip the orthogonal feature sequences of each signal step by step. This allows concurrent connections exceeding the orthogonal physical dimension to be accommodated within a limited time-frequency resource grid, fundamentally eliminating blind detection collisions and packet loss caused by co-channel superposition. To verify the synergistic effect, a partially missing control group was established. This control group removed the implicit mapping mask generation step determined by the system frame number and the cell radio network temporary identifier, and instead used a preset fixed offset for physical resource mapping. Experimental results show that even in the presence of multipath fading interference... In this scenario, the blind detection collision probability of the control group increased from 0.15% in the experimental group to 4.82%. Due to the lack of randomization attributes based on dynamic state mirroring, the resource mapping grids of different terminals overlapped in the time and frequency domains, causing the base station physical layer to be unable to accurately demodulate the Media Access Control Protocol data units, triggering the hybrid automatic retransmission request process. This confirmed that the technical feature of establishing a deterministic mask mapping between the system frame number and the cell wireless network temporary identifier at both ends is a prerequisite for ensuring the reliability of the unauthorized injection process in a high-concurrency environment. The performance gain output by the experimental group solved the system throughput bottleneck caused by control channel congestion at the physical level through the synergistic effect of signaling offloading and collision avoidance.
[0039] This experiment demonstrates the technical effectiveness of the method of this invention in dealing with high-concurrency burst traffic of 5G messages. By synchronously triggering an implicit mapping mechanism based on local state mirroring on the base station and terminal sides, the system avoids the risk of signaling grid blockage in the physical downlink control channel. The measured data shows that the strong positive correlation between air interface access latency and control channel overhead has been broken. The system exhibits nonlinear capacity gain under concurrent conditions. This scheme does not rely on additional physical layer hardware modifications and achieves access timeliness at the transmission time interval level through logical reconstruction of the medium access control layer, meeting the low latency and high reliability scheduling requirements for 5G message transmission in emergency scenarios of industrial IoT.
[0040] Example 3: In an urban base station deployment scenario, a sudden conflict occurs between a non-guaranteed bit rate service and a 5G messaging service within the same physical resource block group. The channel quality indicator measured at the physical layer... The system exhibits an oscillating state. The media access control layer needs to map the 5G message payload to the physical uplink shared channel without occupying control channel elements in the physical downlink control channel. The system determines the step mapping function through a preset calibration method. The quantization criteria, when the physical layer feedback When it is in the range of 0 to 6, A linearly increasing sequence with values ranging from 0.1 to 0.4, and a step value of 0.05, when... When it is in the range of 7 to 15, An arithmetic progression sequence with values ranging from 0.5 to 1.0, a step value of 0.0625, and dynamically scheduled weights. The first threshold is dynamically updated based on the product of the reciprocal of the channel coherence time and the sampling period. Under the condition that the channel coherence time is 2ms and the sampling period is 1ms, the first threshold is determined to be 1.2. The channel coherence time represents the time stability of the channel fading characteristics, and the sampling period represents the time interval for the media access control layer to collect the physical layer status. In this conversion process, the theoretical result of the simple product is 0.5. In order to compensate for the physical deviation between this theoretical value and the actual baseband processing link delay, the system introduces a fixed channel compensation coefficient and service burst tolerance for bias adjustment. Specifically, the first threshold is actually equal to the sum of the product of the reciprocal of the coherence time and the sampling period, plus a congestion tolerance constant of 0.7 for high-frequency rich media shortwave group transmission scenarios. This constant is obtained by regression fitting under a controlled laboratory environment, constraining the downlink control channel element occupancy rate to be stable at the critical point of 90%. Thus, the system decision benchmark is shifted from the theoretical 0.5 to the actual scheduling judgment threshold of 1.2 that can guarantee the stability of the communication link.
[0041] The base station's media access control layer monitors sampling delay, which characterizes the time deviation between the sampling time point of the channel quality indicator and the start point of the current transmission time interval. This delay is calculated based on the dynamic scheduling weight. When the sampling delay exceeds 1.2 ms and is less than 0.5 ms, the base station and terminal synchronously trigger the mask coordinate mapping mechanism. The terminal extracts the 10-bit wide current system frame number logical value as the high-order sequence and extracts the 16-bit wide cell wireless network temporary identifier binary sequence as the low-order sequence. A 26-bit initial seed is generated by concatenation. The processor sequentially fills five consecutive logical zero bits before the most significant bit of the 26-bit initial seed, forcibly expanding the binary physical bit width to 31 bits. This aligns with the input port size of the shift registers of subsequent processing nodes, constructing an unambiguous hardware initialization state. The initial seed is then injected into a pseudo-random sequence generator composed of 31 shift registers. The characteristic polynomial of this pseudo-random sequence generator is... The generated random logical sequence is processed by bit segment truncation and modulo operations to determine the physical resource coordinates and the starting frequency index. The bit values corresponding to the first 10 bits of the random logical sequence are used to determine the total number of currently available physical resource blocks. The result of the modulus extraction is determined by the following formula: ,in, This is the starting frequency index for the physical uplink shared channel. The first 10 bits of the random logic sequence are the segment values. This represents the total number of physical resource blocks included in the current uplink bandwidth. For modulo operations, the orthogonal frequency division multiplexing (OFDM) reuses the symbol offset. It is determined by the 4 bits immediately following the aforementioned bit segment in the random logical sequence, and the calculation formula is as follows: ,in, This refers to the offset of the time-domain orthogonal frequency division multiplexing symbol. It represents the bit segment value from the 11th to the 14th bit in the random logic sequence, where 14 is the total number of symbols contained in a time slot in the standard cyclic prefix mode.
[0042] The system utilizes the starting frequency index With sign offset Within the physical resource grid, specific resource elements are identified. The base station's underlying physical layer directly extracts payload data at the corresponding location based on the locally generated physical resource coordinates. Since the generation of physical resource coordinates depends entirely on the current system frame number and the cell's temporary wireless network identifier synchronized at both ends, the system does not need to issue uplink authorization signaling through the physical downlink control channel. In a multi-terminal concurrent conflict environment, the 5G message transmission success rate increases from 92.5% to 99.8%, and the air interface access latency remains below 2.15ms, meeting the scheduling requirements of mobile communication networks for sudden short-flow services within the physical boundaries where control resources are limited.
[0043] Example 4: In a newly deployed 5G access network environment, before formal scheduling, the base station and terminal initiate a pre-calibration procedure to measure the air interface noise floor power spectral density and air interface average load factor of the current physical layer time-frequency resource grid. The media access control layer determines the first threshold based on the discretized regression model. The calibration process is completed by searching for the minimum dynamic scheduling weight that satisfies a transmission success rate of not less than 99% under a controlled environment with a sampling interval set to 1ms. This is done when the physical layer feeds back the channel coherence time. During fluctuations, the system samples the received power of the reference signal at the bottom layer and calculates the path loss deviation, using this deviation to correct the aging threshold. The system reduces the validity period of implicit mappings when the multipath delay spread exceeds a preset range.
[0044] When the system faces state synchronization risks caused by cell edge interference, the terminal and base station initiate a shift register alignment procedure. This procedure uses the time-domain edge of the downlink master synchronization signal as the reset trigger source for the pseudo-random sequence generator. After capturing the master information block of the downlink broadcast channel, the terminal extracts the 10-bit current system frame number logic value carried within it. After XORing this value with the local cell radio network temporary identifier binary sequence bits, the result is injected into the initial vector space of the 31-level characteristic polynomial register. The system then utilizes the quantization compensation operator... To eliminate the discrepancy in processing delay at the Media Access Control (MAC) layer between different hardware platforms, this operator is adjusted by the terminal based on the received timing advance command. In non-line-of-sight environments, the electromagnetic multipath propagation effect causes the arrival time of wireless signals to exhibit non-linear dispersion. The baseband processing unit collects the multipath energy distribution of the reference signal at the receiving end to extract the root mean square delay propagation amplitude. When the comparator determines that the propagation amplitude exceeds the current cyclic prefix time tolerance, the baseband processing unit directly vectorizes the compensation operator and superimposes a fixed step-size backward time offset. To address the risk of cascading retransmissions caused by the compressed timing feedback window at the MACC layer, the hybrid automatic repeat request (ATR) underlying state flag is extracted from a sliding window of twenty consecutive transmission time intervals. If more than three false unacknowledged signal feedbacks are captured, the system determines that the current RF link is at the deep physical fading boundary, triggers the hard-wired backoff mechanism, cancels the timing compression state machine, and falls back to the standard authorized scheduling mode. Both the transmitting and receiving ends maintain sequence phase consistency at the beginning of each transmission time interval.
[0045] Example 5: In ultra-dense network deployment scenarios, environmental interference causes fluctuations in the air interface noise floor power spectral density. The media access control layer initiates an environmental adaptive calibration procedure. Within a 100ms observation window, the system continuously samples the channel quality indication sequence fed back by the physical layer and calculates its variance distribution. The first threshold is determined by multiplying the variance distribution by the current processing delay of the base station. It interferes with volatility With the first threshold The monotonic positive correlation mapping logic filters out false triggers caused by instantaneous noise. The system corrects the gain coefficient of the dynamic scheduling weight based on the measured average load factor of the air interface, maintaining the negative correlation between the trigger probability of the mask mapping mechanism and the remaining capacity of the current control plane.
[0046] When the system is in high-speed mobile terminal access mode, the displacement of the terminal causes a deviation in the clock reference at both ends of the transmission and reception. The terminal and the base station initiate a phase-locked compensation procedure. This procedure uses the sequence phase of the downlink primary synchronization signal as the physical layer synchronization reference source and extracts the timing advance. The numerical value is mapped to the sampling clock offset. Its calculation formula is ,in, To quantify the compensation operator, For timing lead time index, As the basic unit of time, For the sampling period, the system uses a quantization compensation operator to correct the preload time of the shift register, so that the starting point of the generated uplink implicit mapping mask in the time-frequency grid is aligned with the available resource boundary of the physical uplink shared channel.
[0047] The embodiments of this application have been described above with reference to the accompanying drawings. Unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. This application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit of this application and the scope of protection of this invention, and all of these forms are within the protection scope of this application.
Claims
1. A channel allocation and management method for 5G message transmission, characterized in that, Includes the following steps: Step S1: The base station obtains the buffer status report reported by the terminal, and parses it to obtain the logical channel identifier and the first buffer data volume; Step S2: In response to the logical channel identifier matching the preset target service identifier, sample the channel quality indication fed back from the underlying physical layer; Step S3: Calculate the dynamic scheduling weight based on the first buffer data volume, the channel quality indicator, and the sampling delay; wherein, the sampling delay represents the time deviation between the sampling time point of the channel quality indicator and the starting point of the current transmission time interval. Step S4: Compare the dynamic scheduling weight with the first threshold, and compare the sampling delay with the preset time threshold; Step S5: In response to the dynamic scheduling weight exceeding the first threshold and the sampling delay being lower than the timeliness threshold, the base station and the terminal synchronously skip the scheduling authorization process of the physical downlink control channel; the pseudo-random sequence generator is initialized using the terminal's cell radio network temporary identifier and the current system frame number, and an uplink implicit mapping mask is synchronously generated. In step S6, the terminal physically maps the Media Access Control Protocol (MAC) data unit onto the resource elements of the physical uplink shared channel based on the uplink implicit mapping mask and initiates transmission; at the same time, the base station performs blind detection within the resource grid of the physical uplink shared channel based on the locally generated uplink implicit mapping mask, and establishes a deterministic mapping relationship between the physical layer transmission coordinates of the terminal and the blind detection coordinates of the base station.
2. The channel allocation and management method for 5G message transmission according to claim 1, characterized in that, Step S3 specifically includes the following sub-steps: Step S31, record the most recent sampling time of the channel quality indicator; Step S32, calculate the difference between the sampling time and the start time of the current transmission time slot to generate the sampling delay, the unit of which is... Step S33: Map the sampling delay to a preset exponential decay function and calculate the time-compensation gain of the dynamic scheduling weight.
3. The channel allocation and management method for 5G message transmission according to claim 1, characterized in that, In step S5, the generation process of the uplink implicit mapping mask includes: step S51, extracting the binary sequence of the temporary identifier of the cell radio network and the logical value of the current system frame number; step S52, using the combination of the binary sequence and the logical value as the initial seed of the pseudo-random sequence generator to generate a logical sequence for locking the physical resource grid coordinates.
4. The channel allocation and management method for 5G message transmission according to claim 1, characterized in that, The method also includes a micro-punch mechanism triggered by dynamic scheduling weights. The micro-punch mechanism includes the following steps: scanning the candidate physical resource block grid allocated to non-guaranteed bit rate services within the current transmission time interval; constructing a fragmented resource mapping mask; and physically overwriting the payload data of the 5G message on a specific orthogonal frequency division reusable symbol bit within the candidate physical resource block grid.
5. A channel allocation and management method for 5G message transmission according to claim 4, characterized in that, The micro-punch mechanism also includes: forcibly taking over a specific hybrid automatic repeat request process identifier, and compressing the timing feedback window of the hybrid automatic repeat request process to... .
6. The channel allocation and management method for 5G message transmission according to claim 1, characterized in that, Before step S1, the method further includes: reading terminal capability information elements during the radio resource control connection establishment phase; and authorizing the activation of the uplink implicit mapping mask synchronization generation logic when the terminal's capability parameters meet the preset ultra-reliable low-latency communication standard.
7. A channel allocation and management method for 5G message transmission according to claim 1, characterized in that, In step S6, the header of the Media Access Control Protocol (MAC) data unit contains a logical flag bit, which is used to indicate that this transmission is initiated through the unlicensed implicit injection mode.
8. A channel allocation and management method for 5G message transmission according to claim 1, characterized in that, The method also includes: monitoring the frequency of 5G message buffer status reports; and when the transient response level of uplink burst traffic is detected to exceed a preset threshold, forcibly switching to the unlicensed scheduling mode defined by the uplink implicit mapping mask.
9. A channel allocation and management method for 5G message transmission according to claim 1, characterized in that, In step S6, during the blind detection process, the base station demodulates the resource elements within the preset synchronization detection window and completes the identity decoding based on the temporary identifier of the cell wireless network, thus completing the closed-loop transition of the protocol state machine.
10. A channel allocation management system for 5G message transmission, used to implement the channel allocation management method for 5G message transmission as described in claim 1, characterized in that, include: The identifier acquisition module is used to acquire the temporary identifier of the terminal's cell wireless network and the current system frame number; The channel sampling module is used to sample the channel quality indication fed back by the underlying physical layer after the identifier acquisition module parses and obtains the logical channel identifier. The calculation and processing module is used to calculate the dynamic scheduling weight based on the first buffer data volume, channel quality indicator and sampling delay; The logic comparison module is used to compare the dynamic scheduling weight with the first threshold and the sampling delay with the preset time threshold. The sequence generation module is used to initialize the pseudo-random sequence generator with the cell wireless network temporary identifier and the current system frame number when the dynamic scheduling weight exceeds the first threshold and the sampling delay is lower than the timeliness threshold, and synchronously generate the uplink implicit mapping mask. The resource mapping module is used to physically map Media Access Control Protocol (MAC) data units to resource elements of the physical uplink shared channel based on the uplink implicit mapping mask.
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