Optical fiber broadband access and indoor wireless coverage integrated optimization method and system

Abstract

The invention discloses an optical fiber broadband access and indoor wireless coverage integrated optimization method and system, and relates to the technical field of network communication optimization, and the method comprises the steps: constructing a wireless device integrating the functions of an optical fiber and a router, and accessing a plurality of target devices; acquiring state parameters and house type parameters of the wireless device and related parameters of the target equipment; obtaining house type correlation coefficients based on the house type parameters; obtaining target transmitting power based on the state parameters, the house type correlation coefficients and the correlation parameters; obtaining the final priority of the target equipment based on the target transmitting power, the house type correlation coefficient and the correlation parameters; obtaining effective signal quality based on the target transmitting power and the state parameters; obtaining a switching threshold value based on the final priority and the house type correlation coefficient; screening and obtaining candidate channels based on the switching threshold; and switching the corresponding channel among the candidate channels based on the final priority and the effective signal quality. The functions of an optical modem and a router are integrated, and dynamic channel optimization and intelligent switching are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of network communication optimization, and more particularly to an optical fiber broadband access and indoor wireless coverage integrated optimization method and system. BACKGROUND

[0002] At present, with the continuous growth of household broadband demand and the popularity of smart home devices, users have higher requirements for high-speed, stable and seamless indoor wireless network coverage. The current household network construction generally adopts a "modem + router" separated architecture, that is, the optical network terminal (ONT) is responsible for converting the optical fiber signal into an Ethernet signal, and then the Wi-Fi signal is distributed through an external wireless router. This traditional architecture has significant defects: the large number of devices leads to complex wiring and scattered management; it has poor adaptability to different house structure, especially in large houses, duplex or villa houses, it is difficult to achieve full-house coverage without dead angles; the wireless signal optimization strategy is mostly static configuration or based on simple signal strength judgment, lacking comprehensive perception of house features, device location and network status; the device switching mechanism lacks intelligence, resulting in poor roaming experience and serious channel interference; in the multi-device concurrent scenario, the network resource allocation is unreasonable, and the key business experience decreases significantly.

[0003] In the prior art, although some manufacturers have launched integrated devices that integrate the functions of optical modem and router, the wireless coverage strategy still has obvious limitations. For example, some products use fixed transmit power, which cannot be dynamically adjusted according to the house structure and device location; channel selection is mostly dependent on preset thresholds, lacking real-time network state perception; device priority management is simple, and cannot provide differentiated services according to device type and use scenario; in addition, the traditional scheme cannot avoid signal dead angles and interference problems in large-area houses or complex structure houses, resulting in poor user experience, which seriously affects the use experience of high-bandwidth applications such as video conferencing and online gaming.

[0004] Therefore, how to integrate the functions of optical modem and router and achieve dynamic channel optimization and intelligent switching is a problem that needs to be solved by those skilled in the art. SUMMARY

[0005] Therefore, the present application provides an optical fiber broadband access and indoor wireless coverage integrated optimization method and system, which integrates the functions of optical modem and router and achieves dynamic channel optimization and intelligent switching.

[0006] In order to achieve the above purpose, the present application adopts the following technical solutions:

[0007] An optical fiber broadband access and indoor wireless coverage integrated optimization method, comprising:

[0008] A wireless device integrating the functions of optical fiber and router is constructed, and a plurality of target devices are accessed;

[0009] acquire state parameters of the wireless device, house type parameters, and related parameters of the target device;

[0010] acquire a house type related coefficient based on the house type parameters;

[0011] obtain a target transmission power based on the state parameters, the house type related coefficient, and the related parameters;

[0012] obtain a final priority of the target device based on the target transmission power, the house type related coefficient, and the related parameters;

[0013] obtain an effective signal quality based on the target transmission power and the state parameters;

[0014] obtain a switching threshold based on the final priority and the house type related coefficient;

[0015] obtain a candidate channel based on the switching threshold;

[0016] switch a corresponding channel in the candidate channel based on the final priority and the effective signal quality.

[0017] In one embodiment, the wireless device comprises an optical fiber module, a signal processing module, and a routing distribution module.

[0018] The optical fiber module is configured to receive a modulated optical signal transmitted by an optical fiber.

[0019] The signal processing module is configured to receive and pre-process the modulated optical signal to obtain Ethernet data.

[0020] The routing distribution module is configured to receive the Ethernet data and convert it into a wireless signal for transmission.

[0021] In one embodiment, the house type related coefficient acquisition method comprises:

[0022] The house type parameters comprise a house type and a building area.

[0023] The house type comprises a single-story house type, a duplex house type, and a villa house type.

[0024] A house type correction coefficient of a location of the wireless device is obtained based on the house type type according to a house type type-correction relationship mapping table.

[0025] An area attenuation coefficient of the location of the wireless device is obtained based on the building area using a historical data fitting method or an empirical formula method.

[0026] The house type correction coefficient and the area attenuation coefficient jointly constitute the house type related coefficient.

[0027] In one embodiment, the target transmission power acquisition method is:

[0028] The state parameters include: maximum transmission power, actual transmission power, current signal quality of each channel, and basic channel capability of each channel.

[0029] The related parameters include: location parameters and initial priority.

[0030] Different initial priorities are set based on different device types.

[0031] The location attenuation coefficient of the location where the target device is located is acquired based on the location parameters according to a location-attenuation relationship mapping table or dynamic measurement.

[0032] The target transmission power Pw is obtained based on the maximum transmission power, the location attenuation coefficient, the area attenuation coefficient, and the house type correction coefficient:

[0033] Pw = PD × (1 - Ws) × (1 - Ms) × (1 / Hs) × (1-Xr);

[0034] Wherein, PD represents the maximum transmission power of the wireless device, Ws represents the location attenuation coefficient, Ms represents the area attenuation coefficient, Hs represents the house type correction coefficient, and Xr represents the channel interference index.

[0035] The actual transmission power of the wireless device is adjusted based on the target transmission power.

[0036] In one embodiment, the final priority acquisition method is:

[0037] The ratio of the target transmission power to the maximum transmission power is taken as a transmission power adjustment proportion.

[0038] The final priority Qz corresponding to the target device is obtained based on the transmission power adjustment proportion, the initial priority, the location attenuation coefficient, the area attenuation coefficient, and the house type correction coefficient:

[0039] Qz = Qc × (1 - Ws) × (1 - Ms) × (1 / Hs) × (1-Pt);

[0040] Wherein, Qc represents the initial priority corresponding to the target device, and Pt represents the transmission power adjustment proportion.

[0041] In one embodiment, the effective signal quality acquisition method is:

[0042] The power adjustment influence coefficient Kp is obtained based on the target transmission power and the actual transmission power:

[0043] Kp=(Pm-Ps) / Ps;

[0044] wherein, Pm represents target transmit power, Ps represents actual transmit power;

[0045] obtaining the effective signal quality of each channel of the wireless device based on the power adjustment influence coefficient and the current signal quality:

[0046] Esi=Eyi×(1+Kp)×(1-Xr);

[0047] wherein, Esi represents effective signal quality corresponding to the ith channel of the wireless device, Eyi represents current signal quality corresponding to the ith channel of the wireless device.

[0048] In one embodiment, the method for obtaining the switching threshold comprises:

[0049] obtaining the switching threshold Tz based on the final priority and the house type correction coefficient:

[0050] Tz=Tc×(1-Qz)+0.1×Wf+0.05×Hs;

[0051] wherein, Tc represents a basic threshold, Wf represents a network load coefficient.

[0052] In one embodiment, the candidate channel is obtained based on the switching threshold, and specifically comprises:

[0053] obtaining the current channel performance corresponding to each channel based on the basic channel capability of each channel of the wireless device, the house type correction coefficient and the location attenuation coefficient:

[0054] Xni=Xji×(1-Xr)×(1 / Hs)×(1-Ws);

[0055] wherein, Xni represents current channel performance of the ith channel of the wireless device, Xji represents basic channel capability of the ith channel of the wireless device.

[0056] filtering the channel corresponding to the current channel performance greater than the switching threshold as the candidate channel.

[0057] In one embodiment, switching the corresponding channel specifically comprises:

[0058] selecting and switching the optimal channel based on the effective signal quality corresponding to the candidate channel and the final priority corresponding to the target device:

[0059] dividing the final priority of the target device into high-priority device, medium-priority device and low-priority device;

[0060] Switching based on the high-priority device selecting, from the candidate channels, a candidate channel with the highest current channel performance and an effective quality signal greater than a first threshold as a first optimal channel;

[0061] Switching based on the medium-priority device selecting, from the candidate channels, a candidate channel with the highest current channel performance and an effective quality signal greater than a second threshold and less than or equal to the first threshold as a second optimal channel;

[0062] Switching based on the low-priority device selecting, from the candidate channels, a candidate channel with the highest current channel performance and an effective quality signal greater than a third threshold and less than or equal to the second threshold as a third optimal channel.

[0063] An optical fiber broadband access and indoor wireless coverage integrated optimization system, comprising a wireless device construction module, a parameter acquisition module, a power adjustment module, a priority confirmation module, a signal quality confirmation module, a candidate channel screening module, and an optimal channel switching module;

[0064] The wireless device construction module is configured to construct a wireless device that integrates the functions of an optical fiber and a router, and access a plurality of target devices.

[0065] The parameter acquisition module is configured to acquire state parameters of the wireless device, house type parameters, and related parameters of the target devices, and acquire a house type related coefficient based on the house type parameters.

[0066] The power adjustment module is configured to obtain a target transmission power based on the state parameters, the house type related coefficient, and the related parameters.

[0067] The priority confirmation module is configured to obtain a final priority of the target devices based on the target transmission power, the house type related coefficient, and the related parameters.

[0068] The signal quality confirmation module is configured to obtain an effective signal quality based on the target transmission power and the state parameters.

[0069] The candidate channel screening module is configured to obtain a switching threshold based on the final priority and the house type related coefficient, and screen and obtain a candidate channel based on the switching threshold.

[0070] The optimal channel switching module is configured to switch a corresponding channel in the candidate channels based on the final priority and the effective signal quality.

[0071] According to the technical solutions described above, compared with the prior art, the present disclosure provides an optical fiber broadband access and indoor wireless coverage integrated optimization method and system, which has the following beneficial effects:

[0072] 1. High integration and deployment simplification: By integrating fiber module, signal processing module and routing distribution module in the same device, the three-in-one function of "optical cat + router + Wi-Fi coverage" is realized, the number of devices is reduced, the wiring and installation process is simplified, and the user deployment cost and maintenance difficulty are reduced.

[0073] 2. Intelligent power regulation based on house type: Based on the house type-correction relationship mapping table and the area attenuation coefficient, the house related coefficient is calculated, the target transmission power is dynamically calculated, and the signal coverage range is accurately matched with the house characteristics.

[0074] 3. Multi-dimensional priority dynamic management: The device type, position attenuation, current network state and house characteristics are combined to build an "ultimate priority" evaluation model to ensure key business bandwidth protection and greatly improve the average throughput of high-priority devices.

[0075] 4. Dynamic channel optimization and intelligent switching: Based on effective signal quality and final priority, a switching threshold is dynamically generated, combined with candidate channel screening strategy, to realize channel switching with minimum interference and optimal performance.

[0076] 5. User experience and network intelligence improvement: Automatic power regulation, priority scheduling and channel switching enable users to enjoy stable high-speed network services without manual intervention. In multi-device concurrent scenarios, the delay of key services is greatly reduced, the success rate is greatly improved, and the intelligence level and service quality of home network are significantly improved.

[0077] 6. The present application not only solves the problems of traditional home network device separation, uneven coverage and optimization lag, but also realizes the integration of optical fiber access and wireless coverage through innovative parameter modeling and dynamic decision mechanism, which has significant technical progress and broad application prospect, and provides an innovative solution for the development of home network intelligence. BRIEF DESCRIPTION OF DRAWINGS

[0078] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the present application, and those skilled in the art can obtain other drawings according to the provided drawings without creative labor.

[0079] Figure 1 A flow chart of the optical fiber broadband access and indoor wireless coverage integrated optimization method provided by the present application.

[0080] Figure 2 A flow chart of the method for switching corresponding channels provided by the present application.

[0081] Figure 3 A schematic diagram of an optical fiber broadband access and indoor wireless coverage integrated optimization system structure is provided. DETAILED DESCRIPTION

[0082] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0083] Embodiment 1

[0084] As shown in the drawings, Figure 1 The embodiments of the present application disclose an optical fiber broadband access and indoor wireless coverage integrated optimization method, including the following steps, for the convenience of description, numbers S1-S9 are set, and the numbers are not used to limit the front and back relationship of each step of the present application:

[0085] S1, a wireless device integrating fiber and router functions is constructed, and a plurality of target devices are accessed.

[0086] The wireless device includes a fiber module, a signal processing module and a routing distribution module.

[0087] The fiber module is used to receive modulated optical signals transmitted by the optical fiber.

[0088] The signal processing module is used to receive and preprocess the modulated optical signals to obtain Ethernet data.

[0089] The routing distribution module is used to receive the Ethernet data and convert it into wireless signals for transmission.

[0090] Further, the signal processing module includes an optical signal receiving unit, an optoelectronic conversion unit, a signal amplification and conditioning unit, and a digital signal demodulation unit.

[0091] The optical signal receiving unit is used to receive modulated optical signals from the optical fiber, and adopts an SFP module or is integrated on a circuit board.

[0092] The optoelectronic conversion unit is used to convert the received modulated optical signals into weak electrical signals.

[0093] The signal amplification and conditioning unit is used to amplify and filter the weak electrical signals to make them clear and stable, and obtain conditioned electrical signals.

[0094] A digital signal demodulation unit is used to send the conditioned analog electrical signal into a modem chip, which is responsible for demodulating the signal, decoding the digital information contained in the analog electrical signal according to the specific protocol used by the ISP, such as GPON, EPON, XG-PON, etc., and restoring it into a standard Ethernet data frame to obtain the Ethernet data.

[0095] S2 obtains state parameters of the wireless device, house type parameters, and related parameters of the target device.

[0096] S3 obtains a house type related coefficient based on the house type parameters.

[0097] Further, the house type related coefficient obtaining method is:

[0098] The house type parameters include a house type and a building area.

[0099] The house type includes a single-story house type, a duplex house type, and a villa house type.

[0100] Based on the house type, a house type correction coefficient of the location of the wireless device is obtained according to a house type-correction relationship mapping table.

[0101] Based on the building area, a building area attenuation coefficient of the location of the wireless device is obtained by using a historical data fitting method or an empirical formula method.

[0102] The house type correction coefficient and the building area attenuation coefficient jointly constitute the house type related coefficient.

[0103] Further, the house type-correction relationship mapping table is constructed based on historical experience, as shown in Table 1.

[0104] Table 1: House type-correction relationship mapping table

[0105] House type House correction factor Explanation Single-story house 1.0 No extra attenuation Double-story house 1.2 20% more attenuation than single-story Townhouse 1.4 40% more attenuation than single-story

[0106] The house type correction coefficient is fixed and does not change with the environment.

[0107] Further, the building area attenuation coefficient obtaining method is:

[0108] (1) Historical data fitting method:

[0109] Collect signal strength data of houses with different areas.

[0110] Through linear regression fitting, the building area attenuation coefficient = a x area + b is obtained.

[0111] Under the same house type, compare the signal strengths of houses with different areas, verify the accuracy of the formula, adjust the coefficients a and b, and then obtain the final building area attenuation coefficient calculation formula.

[0112] (2) Empirical formula method

[0113] Area attenuation coefficient=(actual area-standard area) / standard area*0.15;

[0114] Wherein, the standard area is set to 100m 2 .

[0115] S4 obtains the target transmission power based on the state parameter, the house type correlation coefficient and the correlation parameter.

[0116] Further, the target transmission power acquisition method is:

[0117] The state parameter includes: maximum transmission power, actual transmission power, current signal quality of each channel and basic channel capacity of each channel;

[0118] The correlation parameter includes: position parameter and initial priority;

[0119] Different initial priorities are set based on different device types;

[0120] Based on the position parameter, the position attenuation coefficient of the position where the target device is located is obtained according to the position-attenuation relationship mapping table or dynamic measurement; the system can intelligently adapt to different physical environments (such as building structure, space layout), and the reliability of signal transmission is improved;

[0121] The target transmission power Pw is obtained based on the maximum transmission power, the position attenuation coefficient, the area attenuation coefficient and the house type correction coefficient:

[0122] Pw=PD*(1-Ws)*(1-Ms)*(1 / Hs)*(1-Xr);

[0123] Wherein, PD represents the maximum transmission power of the wireless device, Ws represents the position attenuation coefficient, Ms represents the area attenuation coefficient, Hs represents the house type correction coefficient, and Xr represents the channel interference index; by introducing the channel interference index for dynamic calculation, the same frequency interference is effectively reduced, and the overall network capacity and user service quality are improved;

[0124] The actual transmission power of the wireless device is adjusted based on the target transmission power.

[0125] The present application realizes fine adjustment of the transmission power by comprehensively considering the position attenuation coefficient, the area attenuation coefficient, the house type correction coefficient and the channel interference index and other multi-dimensional parameters, avoids the problems of energy waste or insufficient signal coverage caused by traditional fixed power transmission; through multi-parameter collaborative calculation, the actual transmission power accurately matches the current environmental demand, greatly reduces unnecessary power consumption, prolongs the service life of the device battery, and meets the green communication development trend.

[0126] Further, different initial priorities are set based on different device types, specifically including:

[0127] High-priority devices include augmented reality, virtual reality head-mounted devices, which have extremely high bandwidth and delay requirements and need the most stable channel, and the initial priority is set to 0.9;

[0128] Medium-priority devices include high-definition video playback devices such as 4K / 8K video players and video conference terminals, and the initial priority is set to 0.7;

[0129] Low-priority devices include IoT sensors such as smart home sensors and environmental monitoring devices, which have low bandwidth requirements and are not sensitive to delay, and can accept lower channel quality, so the initial priority is set to 0.3.

[0130] Setting different initial priorities according to device types enables the system to optimize transmission strategies for different device characteristics and improve user experience.

[0131] Further, the channel interference index acquisition method is:

[0132] (1) Real-time measurement method:

[0133] The noise power, interference signal power and signal power are measured in real time by a Wi-Fi analyzer or network analysis tool, and the channel interference index Xr is calculated by the following formula:

[0134] Xr = (Zs + Gr) / Xg;

[0135] Where Zs represents the noise power, Gr represents the interference signal power, and Xg represents the signal power.

[0136] For example: Zs = -80 dBm, Gr = -75 dBm, Xg = -60 dBm, Xr = (-80 + (-75)) / -60 = 0.25.

[0137] (2) Pre-cache database method:

[0138] A channel-interference index relationship table is established, and the corresponding channel interference index is found based on the relationship table.

[0139] The channel-interference index relationship table is shown in Table 2:

[0140] Table 2 Channel-interference index relationship table

[0141]

[0142]

[0143] S5 obtains the final priority of the target device based on the target transmission power, the house type correlation coefficient and the related parameters.

[0144] Further, the final priority acquisition method is:

[0145] based on the ratio of the target transmission power to the maximum transmission power as a transmission power adjustment ratio;

[0146] based on the transmission power adjustment ratio, the initial priority, the position attenuation coefficient, the area attenuation coefficient and the house type correction coefficient to obtain the final priority Qz corresponding to the target device:

[0147] Qz=Qc×(1-Ws)×(1-Ms)×(1 / Hs)×(1-Pt);

[0148] wherein Qc represents the initial priority corresponding to the target device, and Pt represents the transmission power adjustment ratio.

[0149] Further, the transmission power adjustment ratio reflects the degree of occupation of the device to the network resource.

[0150] The final priority of the application is dynamically adjusted in real time with the position attenuation coefficient, the area attenuation coefficient, the house type correction coefficient and the power adjustment ratio, so that the system can accurately respond to the physical environment (such as building structure, space layout) and the actual power usage state of the device, avoid the imbalance of resource allocation caused by static priority, and realize dynamic priority adaptation;

[0151] The application directly incorporates the transmission power adjustment ratio into the priority calculation, forms a positive incentive mechanism (1-Pt is large when Pt is small) of "low power usage→high priority", guides the device to actively reduce the transmission power, significantly improves the overall energy efficiency of the network, and prolongs the battery life of the terminal device; The environmental parameters such as position, area and house type are combined with the initial priority of the device, so that the priority calculation considers the influence of physical scene (such as signal attenuation) and retains the differentiated characteristics of device types (such as high priority of IoT device), realizes accurate matching of environment and device demand, and realizes environment-device two-dimensional adaptation;

[0152] By means of the dynamic attenuation factors (1-Ws), (1-Ms), (1-Hs) and (1-Pt), the priority of high-attenuation areas or high-power devices is suppressed, the network load is effectively dispersed, the signal congestion is reduced, and the service stability in multi-device concurrent scenarios is improved; priority adjustment and transmission power control form a closed loop cooperation, Qz inversely affects power allocation, while ensuring the signal coverage quality in key areas, unnecessary power consumption is suppressed, and the optimal balance between communication quality and energy efficiency is realized.

[0153] S6 obtains effective signal quality based on target transmission power and state parameters.

[0154] Further, the effective signal quality acquisition method is:

[0155] A power adjustment influence coefficient Kp is obtained based on the target transmission power and the actual transmission power:

[0156] Kp=(Pm-Ps) / Ps;

[0157] wherein Pm represents the target transmission power, and Ps represents the actual transmission power;

[0158] An effective signal quality of each channel of the wireless device is obtained based on the power adjustment influence coefficient and the current signal quality:

[0159] Esi=Eyi*(1+Kp)*(1-Xr);

[0160] wherein Esi represents the effective signal quality corresponding to the i-th channel of the wireless device, and Eyi represents the current signal quality corresponding to the i-th channel of the wireless device.

[0161] The application reflects the deviation between the actual transmission power and the target transmission power in real time through the power adjustment influence coefficient, and the effective signal quality can dynamically compensate the influence of power fluctuation on the signal quality, avoids the signal quality misjudgment caused by power deviation in the traditional method, improves the evaluation accuracy, and realizes the accurate calibration of the dynamic signal quality; the correction factor (1-Xr) of the channel interference index is introduced to directly suppress the negative influence of the co-frequency interference on the signal quality, especially in the high interference scene, to ensure that the effective signal quality more truly reflects the available signal quality and reduces the data transmission error rate; the power adjustment influence coefficient serves as a feedback index of power adjustment, and forms a closed-loop mechanism with the effective signal quality--when the system reduces the transmission power (Ps

[0162] S7 obtains a switching threshold based on the final priority and the house type correlation coefficient.

[0163] Further, the method for obtaining the switching threshold comprises:

[0164] obtaining the switching threshold Tz based on the final priority and the house type correction coefficient:

[0165] Tz=Tc*(1-Qz)+0.1*Wf+0.05*Hs;

[0166] wherein Tc represents a basic threshold, in the embodiment, the channel quality threshold line 0.8 is set, and Wf represents a network load coefficient.

[0167] The switching threshold Tz of the application realizes multi-dimensional intelligent adjustment by fusing the final priority, network load coefficient and house type correction coefficient: high priority equipment automatically reduces the threshold, and priority is given to guarantee key service switching; the threshold is raised when the network load is high, avoiding frequent switching during congestion period, significantly reducing the switching failure rate and improving network stability; the network load coefficient is directly input as the switching threshold, so that the system automatically increases the switching threshold in high load scenarios, prevents switching operations from exacerbating network congestion, realizes load-aware switching strategy, balances resource allocation and service quality, and improves overall network throughput and resource utilization.

[0168] Further, the network load coefficient acquisition method is:

[0169] The current number of active devices, the maximum number of supported devices, the current data throughput and the theoretical maximum throughput of the wireless device are obtained.

[0170] The ratio of the current number of active devices to the maximum number of supported devices is taken as the active device proportion.

[0171] The ratio of the current data throughput to the theoretical maximum throughput is taken as the bandwidth utilization.

[0172] The network load coefficient Wf is obtained based on the active device proportion and the bandwidth utilization:

[0173] Wf=0.4×Kb+0.3×Dk+0.3×Xz;

[0174] Wherein, Kb represents the active device proportion, Dk represents the bandwidth utilization, and Xz represents the channel occupancy rate, the proportion of the current channel being occupied.

[0175] The application provides a comprehensive and dynamic network load view by fusing three core indexes of active device proportion, bandwidth utilization and channel occupancy ratio, a network load coefficient, avoids misjudgment caused by a single index, and makes load evaluation closer to a real network state; the network load coefficient is automatically increased in a high load scene, promotes the system to increase a switching threshold, actively suppresses frequent switching, effectively prevents network congestion, and greatly reduces a switching failure rate; an adaptive strategy driven by the network load coefficient reduces the switching threshold in a low load state, improves channel switching efficiency, increases the threshold in a high load state, avoids excessive dispersion of resources, realizes collaborative optimization of device density, bandwidth and channel occupancy, and greatly improves spectrum utilization; weight design based on the network load coefficient: 0.4Kb focuses on device density, 0.3Dk and 0.3Xz focus on flow and channel, balances resource allocation fairness - preferentially guarantees basic services under high load, avoids excessive resource occupation of low-priority devices, reduces invalid switching energy consumption, and prolongs the battery life of terminal devices; the network load coefficient ensures that switching decisions are based on real load by reflecting network dynamic changes in real time, such as device surge or flow fluctuation, reduces connection interruption or rate drop caused by congestion, and especially maintains the smoothness of key services such as video calls and online games in high-density scenes (such as shopping malls and stadiums).

[0176] S8 obtains a candidate channel based on the switching threshold.

[0177] Further, obtaining a candidate channel based on the switching threshold, specifically comprising:

[0178] Based on the basic channel capacity, the house type correction coefficient and the position attenuation coefficient of each channel of the wireless device, the current channel performance corresponding to each channel is obtained:

[0179] Xni=Xji*(1-Xr)*(1 / Hs)*(1-Ws);

[0180] Wherein, Xni represents the current channel performance of the i-th channel of the wireless device, and Xji represents the basic channel capacity of the i-th channel of the wireless device.

[0181] All channels corresponding to the current channel performance greater than the switching threshold are selected as candidate channels.

[0182] The current channel performance Xni of the application suppresses channel interference by introducing a correction factor (1-Xr) of the channel interference index, corrects the house structure attenuation (1 / Hs), and compensates for the position signal attenuation (1-Ws), accurately reflects the actual available channel quality, eliminates the interference of environmental interference and physical layout on evaluation, ensures that channel screening is based on real performance, and avoids misjudgment in high-interference or weak-coverage areas.

[0183] Based on the comparison between dynamic thresholds and current channel performance, only high-performance channels are retained as candidates, significantly reducing the probability of invalid handovers and greatly improving the handover success rate. At the same time, handover latency is shortened, and user experience is optimized. By accurately selecting high-quality channels, invalid transmissions on inferior channels are reduced, energy consumption is reduced, and terminal battery life is extended. Meanwhile, stable connections for high-priority devices are ensured when they are moving or in changing environments, achieving the optimal balance between service quality and energy efficiency.

[0184] S9 switches the appropriate channel among the candidate channels based on the final priority and the quality of the effective signal.

[0185] Furthermore, such as Figure 2 As shown, switching the corresponding channel specifically includes:

[0186] The optimal channel is selected and switched based on the effective signal quality of the candidate channels and the final priority of the target device:

[0187] Based on the final priority of the target devices, they are divided into: high-priority devices, medium-priority devices, and low-priority devices.

[0188] Based on the high-priority device, the candidate channel with the highest current channel performance and an effective quality signal greater than a first threshold is selected as the first optimal channel for switching.

[0189] Based on the medium-priority device, the candidate channel with the highest current channel performance and effective quality signal greater than the second threshold and less than or equal to the first threshold is selected as the second optimal channel for switching.

[0190] Based on the low-priority device, the candidate channel with the highest current channel performance and effective quality signal greater than the third threshold and less than or equal to the second threshold is selected as the third optimal channel for switching.

[0191] Furthermore, in this embodiment, the first threshold, the second threshold, and the third threshold are set to 0.9, 0.85, and 0.75, respectively.

[0192] This invention, through a tiered threshold design for high, medium, and low priority devices, ensures that high-priority devices always receive the highest signal quality guarantee, medium-priority devices maintain basic smoothness, and low-priority devices operate under acceptable quality, achieving precise matching between critical services and ordinary services. By setting dual conditions of "current channel performance is the highest" and "effective signal quality meets the standard," invalid handovers caused by signal quality fluctuations are avoided, greatly improving the handover success rate, while reducing the number of channel handovers, lowering network signaling overhead, and reducing device power consumption.

[0193] Adopting network resource stepwise optimization distribution: high-priority devices preferentially occupy high-quality channels, medium and low-priority devices are sequentially distributed to suboptimal channels, forming a stepwise distribution mechanism of channel resources, so that the network can still guarantee core services under high-load scenarios, and the spectrum utilization rate is greatly improved; under the device movement or environmental interference, each priority device can be stably switched to a channel that meets its threshold, avoiding the stall of high-priority devices due to insufficient signal quality, while the low-priority devices running on low-quality channels do not affect the core experience, improving the user experience; through threshold grading and dynamic association of priority, such as high-priority devices automatically matching higher thresholds, the switching strategy can intelligently respond to network load and device type changes, reducing manual intervention and improving the robustness of the network in dense scenarios; low-priority devices switch at a lower signal quality threshold, reducing high-power channel occupation; high-priority devices preferentially acquire high-quality channels, avoiding resource waste, prolonging terminal battery life while guaranteeing service fairness, and achieving optimal balance between communication quality and energy efficiency.

[0194] Further, it further comprises:

[0195] For high-priority devices, multi-link operation is enabled, and 2.4GHz and 5GHz channels are connected simultaneously, and the primary channel is dynamically adjusted according to the terminal position.

[0196] Further, it further comprises: constructing a wireless communication pre-cache database;

[0197] Based on historical data of content collection in a set period, a wireless communication pre-cache database is constructed, all values are calculated as normalized indicators (0-1 range), and "channel type + house type + location type" is used as the unique query key, as shown in Table 3:

[0198] Table 3 Wireless communication pre-cache database

[0199]

[0200] By constructing the wireless communication pre-cache database, subsequent three-dimensional indexing (channel + house type + location) is directly queried, without additional computing resources, and the decision-making speed is greatly improved.

[0201] Embodiment 2

[0202] As shown in Figure 3 Based on the same inventive concept, the present application also provides an optical fiber broadband access and indoor wireless coverage integrated optimization system, comprising: a wireless device construction module, a parameter acquisition module, a power adjustment module, a priority confirmation module, a signal quality confirmation module, a candidate channel screening module and an optimal channel switching module;

[0203] The wireless device construction module is used to construct a wireless device integrating the functions of optical fiber and router, and access a plurality of target devices;

[0204] a parameter obtaining module, configured to obtain a state parameter of the wireless device, a house type parameter, and a related parameter of the target device, and obtain a house type related coefficient based on the house type parameter;

[0205] a power adjusting module, configured to obtain a target transmission power based on the state parameter, the house type related coefficient, and the related parameter;

[0206] a priority confirming module, configured to obtain a final priority of the target device based on the target transmission power, the house type related coefficient, and the related parameter;

[0207] a signal quality confirming module, configured to obtain an effective signal quality based on the target transmission power and the state parameter;

[0208] a candidate channel screening module, configured to obtain a switching threshold based on the final priority and the house type related coefficient, and screen a candidate channel based on the switching threshold;

[0209] an optimal channel switching module, configured to switch a corresponding channel in the candidate channel based on the final priority and the effective signal quality.

[0210] Further, in the embodiment, the function implementation methods of the functional modules correspond to the above methods one by one, and thus will not be repeated here.

[0211] Embodiment 3

[0212] Based on the same inventive concept, the application further provides an electronic device, which comprises a processor and a memory, and the memory stores instructions, characterized in that the instructions are loaded and executed by the processor to implement the optical fiber broadband access and indoor wireless coverage integration optimization method in embodiment 1.

[0213] Based on the same inventive concept, the application further provides a computer device, which comprises a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus.

[0214] The memory is used to store a computer program.

[0215] The processor is used to execute the program stored on the memory, and can implement the optical fiber broadband access and indoor wireless coverage integration optimization method in embodiment 1.

[0216] The electronic device can include a processor, a communications interface, a memory, and a communications bus, wherein the processor, the communications interface, and the memory complete communications with each other through the communications bus. The processor can invoke a logical instruction in the memory to execute the optical fiber broadband access and indoor wireless coverage integration optimization method in Embodiment 1.

[0217] In addition, the logical instructions in the memory described above can be implemented in the form of a software function unit and sold or used as an independent product, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the embodiments of the method of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program code storage media.

[0218] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the related parts can be referred to the method part.

[0219] The above description of the disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications to the embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An optical fiber broadband access and indoor wireless coverage integration optimization method, characterized in that, The application relates to a wireless device integrating a fiber and a router function and accessing multiple target devices. Obtaining state parameters of the wireless device, house type parameters and related parameters of the target devices; Obtaining a house type correlation coefficient based on the house type parameters; Obtaining a target transmission power based on the state parameters, the house type correlation coefficient and the related parameters; Obtaining a final priority of the target devices based on the target transmission power, the house type correlation coefficient and the related parameters; Obtaining an effective signal quality based on the target transmission power and the state parameters; Obtaining a switching threshold based on the final priority and the house type correlation coefficient; Obtaining a candidate channel based on the switching threshold; Switching a corresponding channel in the candidate channel based on the final priority and the effective signal quality. The wireless device comprises a fiber module, a signal processing module and a routing distribution module.

2. The method of claim 1, wherein the method further comprises: The fiber module is used for receiving a modulated optical signal transmitted by a fiber. The signal processing module is used for receiving and preprocessing the modulated optical signal to obtain Ethernet data. The routing distribution module is used for receiving the Ethernet data and converting the Ethernet data into a wireless signal for transmission. The house type correlation coefficient obtaining method is as follows.

3. The integrated optimization method for fiber optic broadband access and indoor wireless coverage according to claim 1, characterized in that, The house type parameters comprise a house type and a building area. The house type comprises a single-story house type, a duplex house type and a villa house type. A house type correction coefficient of a place where the wireless device is located is obtained based on a house type-correction relationship mapping table according to the house type. An area attenuation coefficient of the place where the wireless device is located is obtained based on the building area by using a historical data fitting method or an empirical formula method. The house type correction coefficient and the area attenuation coefficient jointly constitute the house type correlation coefficient. The target transmission power obtaining method is as follows.

4. The integrated optimization method for fiber optic broadband access and indoor wireless coverage according to claim 3, characterized in that, The state parameters comprise a maximum transmission power, an actual transmission power, current signal qualities of various channels and basic channel capacities of the various channels. The related parameters comprise a position parameter and an initial priority. Different initial priorities are set based on different device types. A position attenuation coefficient of a position where the target device is located is obtained based on the position parameter according to a position-attenuation relationship mapping table or dynamic measurement. The target transmission power Pw is obtained based on the maximum transmission power, the position attenuation coefficient, the area attenuation coefficient and the house type correction coefficient: Pw = PD x (1-Ws) x (1-Ms) x (1 / Hs) x (1-Xr); Wherein, PD represents the maximum transmission power of the wireless device, Ws represents the position attenuation coefficient, Ms represents the area attenuation coefficient, Hs represents the house type correction coefficient and Xr represents a channel interference index. The actual transmission power of the wireless device is adjusted based on the target transmission power. The final priority obtaining method is as follows.

5. The integrated optimization method for fiber optic broadband access and indoor wireless coverage according to claim 4, characterized in that, A ratio of the target transmission power to the maximum transmission power is taken as a transmission power adjustment ratio. The final priority Qz corresponding to the target device is obtained based on the transmission power adjustment ratio, the initial priority, the position attenuation coefficient, the area attenuation coefficient and the house type correction coefficient: ​ Qz=Qc x (1-Ws) x (1-Ms) x (1 / Hs) x (1-Pt); Wherein, Qc represents the initial priority corresponding to the target device, Pt represents the transmission power adjustment ratio.

6. The method of claim 5, wherein the method further comprises: The effective signal quality acquisition method is: Based on the target transmission power and the actual transmission power, a power adjustment influence coefficient Kp is obtained: Kp=(Pm-Ps) / Ps; Wherein, Pm represents the target transmission power, Ps represents the actual transmission power; Based on the power adjustment influence coefficient and the current signal quality, the effective signal quality of each channel of the wireless device is obtained: Esi=Eyi x (1+Kp) x (1-Xr); Wherein, Esi represents the effective signal quality corresponding to the i th channel of the wireless device, Eyi represents the current signal quality corresponding to the i th channel of the wireless device.

7. The integrated optimization method for fiber optic broadband access and indoor wireless coverage according to claim 6, characterized in that, The acquisition method of the switching threshold is: Based on the final priority and the house type correction coefficient, the switching threshold Tz is obtained: Tz=Tc x (1-Qz)+0.1 x Wf+0.05 x Hs; Wherein, Tc represents the basic threshold, Wf represents the network load coefficient.

8. The integrated optimization method for fiber optic broadband access and indoor wireless coverage according to claim 7, characterized in that, Based on the switching threshold, candidate channels are screened and obtained, specifically including: Based on the basic channel capacity of each channel of the wireless device, the house type correction coefficient and the location attenuation coefficient, the current channel performance corresponding to each channel is obtained: Xni=Xji x (1-Xr) x (1 / Hs) x (1-Ws); Wherein, Xni represents the current channel performance of the i th channel of the wireless device, Xji represents the basic channel capacity of the i th channel of the wireless device; All channels corresponding to the current channel performance greater than the switching threshold are screened as the candidate channels.

9. The integrated optimization method for fiber optic broadband access and indoor wireless coverage according to claim 8, characterized in that, Switching the corresponding channel specifically includes: Based on the effective signal quality corresponding to the candidate channel and the final priority corresponding to the target device, the optimal channel is selected and switched: Based on the final priority of the target device, it is divided into: high priority device, medium priority device and low priority device; Based on the high priority device, the candidate channel with the highest current channel performance and the effective quality signal greater than the first threshold is selected as the first optimal channel for switching in the candidate channel; Based on the medium priority device, the candidate channel with the highest current channel performance and the effective quality signal greater than the second threshold and less than or equal to the first threshold is selected as the second optimal channel for switching in the candidate channel; Based on the low priority device, the candidate channel with the highest current channel performance and the effective quality signal greater than the third threshold and less than or equal to the second threshold is selected as the third optimal channel for switching in the candidate channel.

10. An optical fiber broadband access and indoor wireless coverage integration optimization system for performing an optical fiber broadband access and indoor wireless coverage integration optimization method according to any one of claims 1-9, characterized in that, Including: The wireless device construction module, the parameter acquisition module, the power adjustment module, the priority confirmation module, the signal quality confirmation module, the candidate channel screening module and the optimal channel switching module; The wireless device construction module is used to construct a wireless device integrating the functions of optical fiber and router, and access a plurality of target devices; The parameter acquisition module is used to acquire the state parameters of the wireless device, the house type parameters and the related parameters of the target device; obtain a house type correlation coefficient based on the house type parameter; the power adjustment module is configured to obtain a target transmission power based on the state parameter, the house type correlation coefficient, and the correlation parameter; the priority confirmation module is configured to obtain a final priority of the target device based on the target transmission power, the house type correlation coefficient, and the correlation parameter; the signal quality confirmation module is configured to obtain an effective signal quality based on the target transmission power and the state parameter; the candidate channel screening module is configured to obtain a switching threshold based on the final priority and the house type correlation coefficient; obtain a candidate channel based on the switching threshold screening; the optimal channel switching module is configured to switch a corresponding channel in the candidate channel based on the final priority and the effective signal quality.

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