Sensitivity-sensing integrated self-energy-complementing and self-breathing wireless blind-complementing network system and control method

Abstract

The invention belongs to the technical field of wireless communication, and discloses a communication and sensing integrated self-energy-complementing and self-breathing wireless blind-complementing network system and a control method, a main base station subsystem comprises RRU equipment, a main control module and a main antenna module, the RRU equipment is connected with a far-end BBU, and the main control module receives a trigger signal and controls the RRU equipment to start and stop; the slave base station subsystem comprises a radio frequency amplification module, an integrated high-isolation antenna and a slave control module, the radio frequency amplification module receives and amplifies a signal of the master base station subsystem, the integrated high-isolation antenna integrates a master base station receiving end and a user coverage end, and the communication and inductance integrated control subsystem comprises a low-power-consumption millimeter wave human body sensor and an FPGA controller. The millimeter wave human body sensor is used for detecting a human body signal, and the FPGA controller generates a mode switching instruction; the self-energy-complementing subsystem comprises a solar power generation module, an energy storage module and a power supply controller, the solar power generation module supplies energy to the system and charges the energy storage module, and the power supply controller controls power supply logic and charging protection.

Description

Technical Field

[0001] This invention belongs to, but is not limited to, the field of wireless communication technology, and particularly relates to a self-sustaining and self-breathing wireless blind spot filling network system and control method that integrates sensing and communication. Background Technology

[0002] In remote or uninhabited areas such as mountainous canyons, deserts, and primeval forests, the complex terrain (such as high elevation differences and winding landscapes) and the high cost and difficulty of power line construction make it difficult to deploy traditional mobile communication base stations, resulting in numerous blind spots for public mobile network signal coverage. These areas are often popular destinations for outdoor activities such as hiking and canyoning, but signal blind spots prevent people from contacting the outside world when trapped. During rescue operations, communication between rescuers and between rescuers and command headquarters is interrupted, and it is impossible to estimate the location of trapped individuals based on the range of base station cells, greatly increasing the time and risk of rescue efforts.

[0003] Existing communication blind spot coverage solutions have significant drawbacks: 1. Satellite communication coverage: Although it can achieve global coverage, it has high signal latency (not suitable for real-time rescue command), is susceptible to heavy rain / snow / solar activity, and has poor universality (e.g., low-orbit satellite service range is limited, and high-orbit satellite requires dedicated terminals and packages, which cannot meet the emergency needs of ordinary tourists).

[0004] 2. Aerial platform for gap filling (drones, balloons, airships): Relying on an aerial carrier, the endurance is limited by energy (drones have short endurance), and is susceptible to severe weather (strong winds, heavy rain). Furthermore, airships need to be refueled regularly, making it difficult to operate stably for a long time.

[0005] 3. Traditional base station coverage: It relies on the power grid for power supply, which cannot be deployed in uninhabited areas without power. In addition, the energy consumption of conventional modules is high throughout the day, which does not meet the scenario characteristics of "low usage frequency and high standby requirements" in uninhabited areas.

[0006] Based on the above analysis, the urgent technical problems that need to be solved in the existing technology are: 1. In uninhabited areas without power grid support, traditional base stations cannot be deployed.

[0007] 2. Existing blind spot filling solutions (satellites, air-to-ground platforms) cannot operate stably for a long time and have poor universality.

[0008] 3. The blind spot compensation system lacks low-power control that allows it to start when someone is present and go into standby mode when someone is away, resulting in energy waste and insufficient battery life.

[0009] 4. In rescue scenarios, communication coverage is disconnected from personnel perception, making it impossible to quickly trigger blind spot filling services and difficult to assist in positioning.

[0010] The patent for the prior art is CN211744736U — Wireless communication blind spot filling device.

[0011] The blind spot filling device uses a wireless communication module plus two-stage radio frequency modules in series to connect the blind spot devices to the main network via relay radio frequency. However, it does not consider energy self-sufficiency (i.e., it lacks self-powering design), making it difficult to operate stably for a long time in an environment without an external power supply. At the same time, the solution does not integrate an active sensing triggering mechanism, so it cannot achieve on-demand wake-up control and can only be used as a passive repeater, which cannot effectively reduce daily power consumption. Summary of the Invention

[0012] To address the problems existing in the prior art, this invention provides a sensing-integrated self-powered and self-breathing wireless blind-spot network system and control method, including a master base station subsystem, a slave base station subsystem, a sensing-integrated control subsystem, and a self-powered subsystem. Each subsystem works together to achieve autonomous operation of the entire process of "sensing-triggering-communication-standby-powering". At the same time, it provides a corresponding control method to realize intelligent management of the system's self-breathing and self-powering.

[0013] This invention is implemented as follows: a self-sustaining, self-breathing wireless blind-spot filling network system integrating sensing and communication, comprising: Main Base Station System: The main base station subsystem is the core communication node of the "Integrated Sensing and Communication Self-Powering and Self-Breathing Wireless Blind Spot Filling Network System". Its main function is to provide 4G / 5G basic mobile public network signals. It includes three types of key components: First, the RRU device, which adopts a dual-mode (NR700+FDD900) wireless radio frequency unit with 4T4R channels, a maximum operating power of ≤420W, and an effective coverage distance of 2-3km. It is connected to the remote BBU (source base station) via field optical cable and adopts CRAN networking mode; Second, the main control module, which has a built-in MCU and can communicate with the integrated sensing and communication control subsystem, receive trigger signals to switch between "standby mode / communication mode", and simultaneously manage the power supply logic of the main power supply module; Third, the main antenna module, which adopts a high-gain directional antenna to send wireless signals to the slave base station subsystems.

[0014] The base station subsystem is deployed at the edge of the main base station or key rescue points to extend the coverage of the "integrated sensing and communication self-supplementing wireless blind spot network system". It includes an RF amplifier module (containing a duplexer and a low-power low-noise amplifier, with a gain ≥30dB and power consumption ≤1.2W, receiving and amplifying the main base station signal), an integrated high-isolation antenna (integrated dual receivers, with a narrow beam aimed at the main base station and a wide beam aimed at the user, with a co-frequency isolation of ≥40dB and anti-self-oscillation), and a slave control module (communicating with the integrated sensing and communication control subsystem, receiving trigger signals to control the start and stop of the RF amplifier module).

[0015] The integrated sensing and control subsystem is responsible for the linkage between "personnel perception and system triggering". It includes low-power millimeter-wave human body sensors (using FMCW waveform, multi-unit array antenna aperture to achieve 1km detection, power consumption ≤0.4W / unit, can identify human moving targets and eliminate non-human interference) deployed on the must-pass roads or key areas of uninhabited areas, and operating 24 / 7. It also includes an FPGA controller that can communicate with each millimeter-wave sensor and master-slave control module (receives detection signals to generate "start / stop" instructions, synchronously controls the master-slave base station mode switching, and has a delay judgment logic to prevent false triggering).

[0016] Self-supplementing subsystem: The self-supplementing subsystem provides green and autonomous power for the entire network, including solar power generation modules (16 550W monocrystalline silicon panels connected in parallel at the main base station, generating 8.8kWh per hour; 1 550W panel at the slave base station, generating 0.55kWh per hour), energy storage modules (25.6kWh battery at the main base station, capable of supplying power for 15 days without sunlight; 2.88kWh battery at the slave base station, capable of operating for 67 / 40 days without sunlight in sensing / communication modes respectively), and a power controller connecting the two (intelligently managing "prioritizing solar power - supplementing insufficient battery power - charging excess power", and receiving FPGA instructions to control the power supply on and off of the main and slave base stations).

[0017] Another objective of this invention is to provide a control method for a sensor-integrated, self-energizing, and self-breathing wireless blind spot network system, comprising: 1. Self-breathing control process: The system is initially in "sensing mode", with only the millimeter-wave sensor, FPGA controller, and power controller powered on (the main and slave base station related modules are powered off, and the power consumption is ≤2W); when any millimeter-wave sensor detects a human signal for ≥3 seconds, the FPGA triggers a start command, the power controller supplies power, the main and slave base stations start up, and the system switches to "communication mode"; when all sensors have no human signal for 15 minutes and no terminal is connected to the main base station, the FPGA sends a shutdown command, cuts off the relevant power supply, and the system returns to "sensing mode".

[0018] 2. When there is sufficient sunlight, the power controller prioritizes solar power supply (excess power is stored in the battery), and automatically switches to battery power supply when there is insufficient sunlight. When the battery level is ≥90%, charging is stopped to prevent overcharging. When the battery level is ≤20% and there is no sunlight, the FPGA triggers a low power warning and extends the detection cycle of the millimeter-wave sensor (from 1s / time to 5s / time) to reduce power consumption. The main base station battery can provide power for 15 days without sunlight, and the secondary base station sensing mode can provide power for 67 days without sunlight, ensuring stable operation of the system throughout the year.

[0019] Another object of the present invention is to provide a computer device, the computer device including a memory and a processor, the memory storing a computer program, and when the computer program is executed by the processor, causing the processor to perform the steps of the self-sustaining and self-breathing wireless blind spot network system control method.

[0020] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the self-sustaining and self-breathing wireless blind spot network system control method.

[0021] Another objective of this invention is to provide an information data processing terminal, which includes the aforementioned self-sustaining and self-breathing wireless blind spot network system.

[0022] Based on the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solution to be protected by this invention are as follows: First, the advantages of this invention include: 1. No dependence on electricity, suitable for deployment in uninhabited areas: It adopts solar energy + battery self-supplementation, without the need for grid support, solving the problem of power line construction in uninhabited areas.

[0023] 2. Low power consumption and long battery life: Through the "self-breathing" mode (sensing mode power consumption ≤2W, communication mode starts on demand) and low power components (millimeter wave sensor ≤0.4W / each, low noise amplifier ≤1.2W), the master and slave base stations can achieve standby all year round.

[0024] 3. Integrated sensing and communication for rapid response to rescue needs: The millimeter-wave sensor and communication module work together to trigger blind spot service when personnel enter, avoiding the energy waste of "always-on signal". At the same time, the sensor deployment area can help locate trapped personnel (narrowing the search and rescue area).

[0025] 4. Flexible coverage expansion: The master and slave base stations work together to form a network. The slave base station can be deployed at the edge of the master base station or at key rescue points. The coverage range of a single slave base station can reach 1km. The integrated high isolation antenna avoids self-oscillation on the same frequency and improves signal stability.

[0026] 5. Resistant to harsh environments and highly versatile: It requires no air carrier or satellite terminal and can withstand heavy rain, blizzards, strong winds, and other weather conditions. It is suitable for various uninhabited areas such as canyons, deserts, primeval forests, and border defense.

[0027] 6. Green and energy-saving, with controllable costs: Solar power reduces operating costs. The main and slave base station components (such as RRU and low-noise amplifier) ​​use mature mass-produced devices, and coverage and battery life can be further optimized by adding slave base stations or expanding solar panels in the future.

[0028] The innovative aspects of this invention include: 1. The integrated sensing architecture breaks through the traditional model of separating communication and sensing devices, deeply integrating low-power millimeter-wave human body sensing sensors with communication base stations, and realizing dual-mode linkage of "sensing-communication" through FPGA controller. The millimeter-wave sensor monitors human activities 24 / 7, triggering the communication module to start on demand. This not only solves the contradiction of "communication is needed when people are present, but power is wasted when no one is present" in remote areas, but also saves the deployment cost of independent sensing devices, achieving "one set of hardware, dual functions".

[0029] 2. The innovative self-breathing energy efficiency management mechanism features a smart switching process of "low-power sensing - full-power communication": In unmanned mode, only the sensors and controllers of the master and slave base stations operate (power consumption ≤ 1.8W); upon detecting human activity, the master base station RRU and slave base station RF front-end are simultaneously activated within 100ms; after 15 minutes of inactivity, it automatically returns to low-power mode. Compared to traditional base stations operating at full load 24 hours a day, energy consumption is reduced by more than 99%, and battery life is increased by 60 times under conditions without sunlight.

[0030] 3. High-isolation, low-cost blind spot compensation and expansion technology: The base station adopts an integrated high-isolation antenna design, and through polarization isolation, spatial isolation and gate structure innovation, it achieves a co-frequency isolation of ≥40dB, solving the problem of "self-excited interference" in traditional repeaters; at the same time, it adopts a low-noise amplifier with current multiplexing architecture, and reduces power consumption to 1.2W while maintaining a gain of ≥30dB, which is 70% lower than similar products. The cost of the base station alone is controlled to 1 / 5 of that of traditional micro base stations.

[0031] 4. The adaptive solar self-powered system addresses the unstable sunlight conditions in the field. The main base station uses an array of 16 550W solar panels (average daily power generation of 8.8 kWh) combined with a 25.6 kWh high-capacity battery. A smaller capacity power supply is matched to the base station, and the MPPT intelligent charging algorithm maximizes power generation. In areas with an average of 1750 hours of sunshine per year, it can operate off-grid 365 days a year, completely eliminating dependence on traditional electricity.

[0032] 5. The master-slave collaborative wide-area coverage solution adopts a distributed architecture of "master base station + N slave base stations". The master base station provides 2-3KM core coverage, and the slave base stations achieve 1KM edge extension through signal amplification, forming a three-dimensional coverage network of "core area + edge points". Through direct field fiber optic cable connection and CRAN networking technology, stable signal transmission within a 10KM range is ensured, reducing costs by 80% compared to satellite communication solutions, and eliminating communication delay and weather interference issues.

[0033] Secondly, as supplementary evidence of the inventive step of the claims of this invention, it is also reflected in the following important aspects: (1) The expected benefits and commercial value of the technical solution of this invention after transformation are as follows: 1) Direct economic benefits: Upon successful development, this project possesses clear and substantial potential for direct economic benefits. From an industrialization perspective, it is projected to generate cumulative sales revenue of 50 million yuan. This revenue will come not only from the direct application of the technical solution in the field of emergency communications, but also from the separate external supply of core technology modules (such as low-power millimeter-wave human body sensing sensors, high-gain, high-isolation antennas, and low-power power amplification devices).

[0034] From a cost-effectiveness perspective, this technical solution offers significant cost advantages compared to traditional emergency communication solutions (such as satellite communication and drone-based aerostat communication). Satellite communication relies on dedicated terminals (such as Huawei flagship phones) and expensive data plans, resulting in high costs per user. Aerostat platforms such as drones, balloons, and airships require regular maintenance and refueling (e.g., with helium), leading to high deployment costs and limited range. In contrast, this solution utilizes a solar-powered self-sustaining system. After initial equipment investment, subsequent operating costs are extremely low. The main and secondary base stations can operate continuously for 365 days, resulting in long-term operating costs far lower than traditional solutions. This gives it a strong price advantage in the market, enabling it to quickly capture market share in emergency communication in uninhabited areas.

[0035] (ii) Indirect economic and industrial value: Driven industrial chain development: The project will create 40 jobs, covering multiple links such as R&D, production, installation, and maintenance. At the same time, the demand for core components (such as low-noise amplifier chips, millimeter-wave radar components, and photovoltaic energy storage equipment) will drive the development of upstream electronic components, photovoltaic industry, radar technology and other related industrial chains, forming an industrial cluster with emergency communication technology as the core, and further expanding the economic radiation effect.

[0036] The value of cultural tourism in empowering the rural economy: Taking the Anji Jingkongli Grand Canyon as an example, the technical solution solves the signal coverage problem within the canyon, significantly improving the safety and appeal of regional tourism, attracting more tourists, and directly driving the development of local cultural tourism-related industries such as homestays, catering, and outdoor equipment rental, thus contributing to rural revitalization. This model can be replicated in other similar scenic areas across the country (such as tourist destinations like the Gobi Desert, deserts, and primeval forests), forming a large-scale commercial application and indirectly creating huge economic value.

[0037] Long-term market expansion potential: In addition to cultural and tourism scenarios, the technical solution can also be applied to border defense, uninhabited islands in the near sea, and forest fire prevention. For example, the communication coverage needs in border defense areas are urgent, and traditional base stations are difficult to set up; the self-sustaining and self-breathing characteristics of this solution are perfectly suited to these needs. In forest fire prevention scenarios, the system can also provide personnel positioning and fire early warning assistance functions, with broad market demand. As the demand for emergency communication continues to grow, the commercial value of the technical solution will continue to be realized.

[0038] (2) The technical solution of this invention fills a technical gap in the industry both domestically and internationally: (i) The gap in emergency communication in uninhabited areas: "low power consumption, long battery life, and wide coverage" coordination. Among current emergency communication technologies both domestically and internationally, satellite communication can achieve wide coverage, but it suffers from high latency and poor universality (e.g., Starlink does not serve China and Huawei satellite phones have low penetration rates); drones and aerobatic platforms can be deployed quickly, but they have short battery life (limited by energy) and weak resistance to severe weather; traditional ground base stations rely on power lines and cannot be used in uninhabited areas.

[0039] This innovative technical solution integrates three core technologies: photovoltaic self-supplementation, master-slave base station collaborative coverage, and millimeter-wave sensing self-breathing, achieving a breakthrough in "low power consumption, long endurance, and wide coverage" in uninhabited areas for the first time. The master base station uses large-capacity photovoltaic energy storage, while the slave base stations reduce energy consumption through low-power devices and a self-breathing mode. The master-slave collaboration can cover a range of 2-3km (master base station) + 1km / slave base station, and can operate continuously for 15 days (master base station) and 40-67 days (slave base station) without sunlight, filling the technical gap in long-term stable emergency communication in uninhabited areas and providing a brand-new solution for similar scenarios both domestically and internationally.

[0040] (ii) The application gap of "integrated sensing" in low-cost emergency communications "Sensing and communication integration" technology is mostly used in high-end fields such as 5G base stations and autonomous driving, and its cost is relatively high. Its application in low-cost emergency communication scenarios is still lacking. This technical solution deeply integrates low-power human millimeter-wave sensing ("sensing") with mobile public network signal coverage ("communication"). The millimeter-wave sensor of the base station not only realizes the system's self-breathing control, but also assists in personnel positioning, without the need for additional positioning equipment, which greatly reduces the system cost.

[0041] Compared with similar emergency communication technologies at home and abroad (such as deploying a separate communication base station + independent positioning system), the "integrated sensing and communication" design of this solution has for the first time achieved functional integration and cost optimization, filling the technical gap of low-cost "sensing and communication collaboration" emergency communication, and providing a new idea for the miniaturization and low-cost development of emergency communication systems.

[0042] (3) The technical solution of the present invention solves a technical problem that people have long wanted to solve but have never been able to solve successfully: (i) The contradiction between "energy dependence and continuous service" in emergency communications in uninhabited areas For a long time, emergency communication in uninhabited areas has faced a core contradiction: traditional base stations rely on the power grid and cannot be deployed in areas without power lines; emergency equipment that relies on battery power requires frequent battery replacements and is difficult to provide continuous service; although solar-powered equipment can provide power on its own, how to balance "equipment power consumption and battery life" has always been an unsolved problem (e.g., high-power equipment has short battery life, and low-power equipment cannot meet communication coverage requirements).

[0043] This technical solution addresses this challenge through three innovations: First, differentiated energy storage design for master and slave base stations (large-capacity photovoltaic + battery for the master base station, and small-capacity energy storage for the slave base station) adapts to different power consumption requirements; second, a self-breathing mode (low-power sensing when unmanned, and communication initiated when manned), significantly reducing energy consumption in non-working states; and third, low-power core components (such as low-noise amplifiers based on current multiplexing technology and low-power millimeter-wave radar), reducing energy consumption at the source. Through these designs, the system achieves 365-day continuous standby, completely resolving the long-standing contradiction between "energy dependence and continuous service" in emergency communication in unmanned areas.

[0044] (ii) The challenge of balancing coverage and cost control in emergency communications for complex terrain In emergency communications in complex terrains (such as canyons and mountains), expanding coverage requires increasing the number of base stations. However, traditional base stations are costly (including equipment, power, and installation), making large-scale deployment difficult. Conversely, reducing the number of base stations results in incomplete coverage, failing to meet rescue needs. For a long time, domestic and international technologies have struggled to find a balance between coverage and cost control, making emergency communications in complex terrains a persistent pain point in the industry.

[0045] This technical solution's master-slave base station collaborative mode is the first to solve this problem: the master base station acts as the core coverage node, covering key areas; the slave base stations adopt a low-cost design (miniaturized, low-power devices), requiring only 18,000 yuan to purchase the relevant components, and require no power lines. They can be deployed as needed at the edge of the master base station's coverage or key rescue points, extending coverage through air interface signal amplification. A single slave base station can cover a range of 1km, at a cost only 1 / 10 to 1 / 5 of that of traditional base stations, achieving a balance between "low cost and wide coverage," and solving the long-standing problem of emergency communication in complex terrain. Attached Figure Description

[0046] Figure 1 This is a system overall framework diagram provided in the embodiments of the present invention.

[0047] Figure 2 This is a schematic diagram of the radio frequency link from the base station provided in an embodiment of the present invention.

[0048] Figure 3 This is a schematic diagram of the integrated high isolation antenna service provided in an embodiment of the present invention.

[0049] Figure 4This is a schematic diagram of the antenna coupling configuration provided in an embodiment of the present invention.

[0050] Figure 5 This is a technical roadmap provided by an embodiment of the present invention.

[0051] Figure 6 This is a flowchart of the system startup process provided in an embodiment of the present invention.

[0052] Figure 7 This is a diagram of the entire system shut down according to an embodiment of the present invention.

[0053] Figure 8 This invention is based on the field verification experiment results of the base station radio frequency link module provided in the embodiment.

[0054] Figure 9 This invention provides a microwave anechoic chamber verification experiment for a base station radio frequency link module, based on an embodiment.

[0055] Figure 10 This is a schematic diagram of antenna decoupling provided by an embodiment of the present invention.

[0056] Figure 11 This invention compares the energy consumption of base stations under different operating modes provided in the embodiments.

[0057] Figure 12 This is a distribution curve of the coordinated coverage signal strength (RSRP) of the master and slave base stations provided in the embodiments of the present invention.

[0058] Figure 13 The present invention is based on the variation of the main station battery power (including 10 days of cloudy simulation) provided in the embodiment. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0060] like Figure 1 As shown, the wireless blind-spot-filling network system with integrated sensing and communication capabilities provided in this embodiment of the invention includes a master base station subsystem, a slave base station subsystem, an integrated sensing and communication control subsystem, and a self-energizing subsystem.

[0061] The main base station subsystem includes RRU equipment, main control module and main antenna module. The RRU equipment is connected to the remote BBU through field optical cable and is used to output 4G / 5G mobile public network signals. The main control module is used to receive trigger signals and control the start and stop of the RRU equipment.

[0062] The base station subsystem includes an RF amplification module, an integrated high-isolation antenna, and a control module, such as... Figure 2 As shown, the radio frequency amplification module receives and amplifies the signal from the main base station subsystem, such as... Figure 3 , Figure 4 As shown, the integrated high-isolation antenna combines the "main base station receiver" and the "user coverage unit", with a co-frequency isolation of ≥40dB.

[0063] The integrated sensing and control subsystem includes a low-power millimeter-wave human body sensor and an FPGA controller. The millimeter-wave human body sensor is deployed on a necessary route in an uninhabited area to detect human signals. The FPGA controller communicates with the main control module and the slave control module to generate mode switching instructions.

[0064] The self-supplementing subsystem includes a solar power generation module, an energy storage module, and a power controller. The solar power generation module supplies power to the system and charges the energy storage module, while the power controller controls the power supply logic and charging protection.

[0065] The RF amplifier module includes a duplexer and a low-power low-noise amplifier. The low-power low-noise amplifier adopts a current multiplexing architecture and active bias technology, with a gain ≥30dB and power consumption ≤1.2W.

[0066] The millimeter-wave human body sensor uses FMCW waveform, operates at a frequency of 24GHz, has a detection range of ≥1km, and a power consumption of ≤0.4W / unit. It can identify moving human targets and eliminate non-human interference.

[0067] In the energy storage module, the main base station is equipped with a 25.6kWh battery pack (which can provide power for 15 days in communication mode without sunlight), and the slave base station is equipped with a 2.88kWh battery pack (which can provide power for 67 days in sensing mode without sunlight).

[0068] The RRU equipment of the main base station subsystem is a dual-mode (NR700+FDD900) device with 4T4R channels, a maximum operating power of ≤420W, and an effective coverage distance of 2-3km.

[0069] The receiver of the integrated high-isolation antenna uses a multi-element array (gain ≥15dBi), while the coverage end uses a few-element array (gain ≥12dBi), which is suitable for the edge signal amplification requirements of the main base station.

[0070] In the solar power generation module of the self-supplementing subsystem, the main base station uses 16 550W monocrystalline silicon solar panels (generating 8.8kWh per hour), and the slave base station uses 1 550W monocrystalline silicon solar panel (generating 0.55kWh per hour).

[0071] The main base station subsystem connects to the public network BBU via RRU equipment to bring 4G / 5G signals into uninhabited areas. Upon receiving start / stop commands from the main control module, the RRU equipment outputs a coverage signal. When the signal reaches the slave base station, it is amplified by the RF amplifier module and retransmitted through the "user coverage end" of the integrated high-isolation antenna, extending and filling blind spots with the main base station signal. The antenna isolation design (≥40dB) ensures interference-free operation between reception and transmission on the same frequency.

[0072] The millimeter-wave human body sensor deployed in uninhabited areas uses a 24GHz FMCW waveform and can detect moving human targets within a 1-kilometer range. The sensor sends the detected target information to an FPGA controller. The controller distinguishes between human and non-human targets, generates mode-switching commands, and sends them to the main and slave control modules. This allows the system to flexibly switch between "perception mode" and "communication mode," enabling on-demand base station wake-up and reducing unnecessary power consumption.

[0073] The base station's RF amplification module amplifies the main base station signal through a duplexer and a low-power low-noise amplifier (LNA). The LNA employs current multiplexing and active biasing technology to ensure a gain of ≥30dB while keeping power consumption below 1.2W. This low-power, high-gain architecture ensures signal quality in dead-zone amplification and transmission, while reducing system power consumption and adapting to long-term operation in uninhabited areas.

[0074] The self-supplementing subsystem supplies power in real time through solar power generation modules and charges the energy storage module. The main base station is equipped with 16 550W photovoltaic panels, generating 8.8kWh per hour, which can support high-power equipment such as RRUs; the slave base station only needs one 550W photovoltaic panel to meet the needs of sensing and low-power amplification. The battery pack in the energy storage module can still ensure continuous communication of the main base station for 15 days and continuous sensing of the slave base station for 67 days under no sunlight conditions, achieving a "self-breathing" energy cycle and long-term independent operation.

[0075] The entire system achieves intelligent scheduling across subsystems through an integrated sensing and control subsystem. When no one is active in the uninhabited area, the system maintains sensing mode, retaining only low-power sensing and standby; once a target is detected, it immediately switches to communication mode, waking up the master and slave base stations to provide coverage services. Through a closed-loop mechanism of "sensing trigger + energy self-replenishment + signal amplification," the system ensures communication coverage while minimizing energy consumption and achieving adaptive operation, making it particularly suitable for communication assurance in remote, grid-free environments.

[0076] like Figure 6 , Figure 7 As shown, the control method for a self-breathing and self-energy-supplementing wireless blind spot network system with integrated sensing and communication provided in this embodiment of the invention includes a self-breathing control process and a self-energy-supplementing control process.

[0077] S1, the self-breathing control process includes: initially in sensing mode, only the millimeter-wave human body sensor and FPGA controller are powered on; after the millimeter-wave sensor detects a human body signal, the FPGA controller triggers the master-slave base station to switch to communication mode; when all sensors have no human body signal for 15 consecutive minutes and no terminal is connected to the master base station, it switches back to sensing mode.

[0078] S2, the self-powered control process includes: prioritizing solar power supply and charging excess electrical energy; supplementing battery power when solar energy is insufficient; and shortening the sensor detection cycle to reduce power consumption when the battery power is ≤20% and there is no sunlight.

[0079] Communication mode switching delay ≤2s, total system power consumption ≤1.8W in sensing mode, and total power consumption from base station ≤3W in communication mode.

[0080] The battery charging protection logic is as follows: charging stops when the battery level is ≥90%, and a low battery warning is triggered when the battery level is ≤20% and there is no sunlight. The detection cycle of the millimeter-wave sensor is shortened to 5 seconds per detection.

[0081] like Figure 5 As shown, this invention is implemented in conjunction with the "Anji Jingkongli Grand Canyon" scenario. The following are specific embodiments of this invention.

[0082] Part 1: System Deployment 1. Main Base Station Deployment: The main base station is deployed in the first phase of the Grand Canyon solution area (latitude and longitude 119.644395, 30.420134), with a 12-meter communication pole with a wind pressure resistance of 0.65kN / ㎡ (with a communication integrated cabinet containing a 25.6kWh battery pack and power controller). Sixteen 550W solar panels with a 30° southward tilt are fixed on the nearby mountainside. Radio4432 dual-mode RRU equipment (4T4R, power consumption ≤420W) is selected and connected to the SA mode BBU signal source base station in Jingkongli, Xiaofeng Town, Anji County, Huzhou City, ≤10km away via field optical cable, providing independent coverage of 2-3km, including the core hiking route of the canyon.

[0083] 2. Deployment from the base station: Deploy two from the base station (one upstream and one downstream), located at the edge of the main base station's coverage (1.5-2km away) to cover blind spots. Each is equipped with two millimeter-wave sensors (placed on both sides of the valley's main road, with a detection angle of 120°). The integrated chassis includes a 550W solar panel, a 2.88kWh battery pack, and control equipment. It is equipped with a 700MHz duplexer, a 60dB gain low-noise amplifier RF module, and an integrated antenna with a receiver end of 15dBi and a coverage end of 12dBi (isolation ≥40dB).

[0084] 3. Deployment of the integrated sensing and communication control subsystem: In the integrated sensing and communication control subsystem, the millimeter-wave sensor adopts a 24GHz FMCW radar (detection range 1km, false detection rate ≤1%), which is connected to a Xilinx Artix-7 FPGA controller via an RS485 bus; the FPGA controller is deployed in the slave base station chassis and communicates with the master base station main control module via optical fiber (delay ≤100ms) to ensure synchronous switching between master and slave base station modes.

[0085] Part Two: System Testing and Verification 1. Signal Coverage Test: The signal coverage test used a handheld spectrum analyzer (with an omnidirectional antenna) and a mobile terminal equipped with Cellular-Z. When the tester was outside the detection range of the millimeter-wave sensor, the signal RSRP was -112dBm. After entering the system and switching to communication mode, the signal was amplified by the base station, and the mobile phone RSRP increased to -78dBm (an increase of 34dBm), and the network speed increased from 0.5Mbps to 15Mbps, meeting the needs of voice and video rescue. The coverage radius of a single base station is 1km, and two base stations work together with the main base station to achieve one-stage area coverage without dead zones.

[0086] 2. Self-breathing and self-replenishment test: Self-breathing and self-replenishment test: When personnel leave for 15 minutes, the system automatically switches to sensing mode (power consumption drops from 3W to 1.8W), and triggers communication mode within 2 seconds of re-entering (response delay ≤2s); Under the average annual sunshine of 1750 hours in Huzhou, the main base station solar panel generates 15400kWh of electricity per year (meeting the annual power supply), the secondary base station generates 962.5kWh of electricity, the battery is charged ≤12 times per year, and it can standby for more than 40 days without sunshine.

[0087] 3. Environmental interference resistance test: In terms of weather, during heavy rain (rainfall ≥50mm / h) and heavy snow (snow thickness ≥10cm), the millimeter wave sensor detection accuracy is ≥95%, and the average annual signal interruption time of the master and slave base stations is ≤0.5h; in terms of temperature, in an environment of -20℃ (winter night) to 50℃ (summer afternoon), all components can work normally, and the low noise amplifier gain fluctuation is ≤2dB.

[0088] An application embodiment of the present invention provides a computer device, which includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor performs the steps of a control method for a self-sustaining and self-breathing wireless blind spot network system integrating sensing and communication.

[0089] An application embodiment of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of a control method for a self-sustaining, self-breathing wireless blind spot network system integrating sensing and communication.

[0090] An application embodiment of the present invention provides an information data processing terminal, which includes a self-sustaining, self-breathing wireless blind spot filling network system integrating sensing and communication.

[0091] Evidence related to the technical effects obtained by the embodiments of the present invention.

[0092] I. Test Results of Core Technology Modules (I) Enhancement effect of base station radio frequency link signal (field test verification) Since the base station radio frequency link is the core of achieving signal coverage extension, this invention directly verified its signal enhancement capability through laboratory microwave anechoic chamber testing and on-site testing in Anji Jingkongli Grand Canyon. The data and charts are as follows.

[0093] 1. Basic Information of the Experiment Test dates: March 21, 2024 (on-site at Anji Jingkongli) and March 8, 2024 (in the laboratory microwave anechoic chamber).

[0094] Test equipment: base station RF link module (not using low power low noise amplifier, only verifying link feasibility), mobile terminal with signal testing software Cellular-Z installed, and microwave anechoic chamber (including signal source and receiving equipment).

[0095] Core test metric: Reference Signal Received Power (RSRP). In emergency communication scenarios, RSRP ≥ -115dBm is the critical value for "communication capability", and -85~-95dBm is the "good" level.

[0096] 2. Field test data and comparative charts

[0097] Comparison diagrams of on-site experiments are shown below. Figure 8 Left image (from base station off): Cellular-Z shows that the serving cell RSRP = -112dBm, SINR = -7, and the neighboring cell signals are all ≤-119dBm. The overall signal is at a "very poor" level and cannot meet the needs of rescue communication.

[0098] Right image (starting from base station): At the same location, RSRP increases to -78dBm, SINR increases to 16.0, and the signal level jumps to "good". It can stably support voice calls and data transmission. The signal strength is increased by 34dBm, far exceeding the industry standard for emergency communication that "signal enhancement of ≥10dBm can realize the transformation from 'unavailable' to 'available'".

[0099] 3. Supplementary verification of laboratory microwave anechoic chamber like Figure 9The results show that, in a laboratory microwave anechoic chamber, stable signal amplification was achieved from the base station RF link module through a link connecting the main base station antenna, a duplexer, a low-noise amplifier, and the user antenna. During testing, with an input signal RSRP of -105dBm, the output signal RSRP was -72dBm, achieving an amplification gain of 33dBm. This is essentially consistent with the 34dBm gain observed in field experiments, verifying the stability and consistency of the RF link design.

[0100] (ii) Battery life of the solar self-powered system The system adopts a self-supplementing power mode of "solar panel + battery". The document provides the power consumption, energy storage configuration, and solar irradiance data of the main base station and slave base stations in Huzhou area, which can be used to directly deduce the battery life. The data is as follows: 1. Basic parameters

[0101] 2. Battery life calculation and charts (1) Continuous working time without sunlight (extreme cloudy day scenario) Main base station: Assuming an average daily working time of 4 hours (sparsely populated areas, not 24-hour communication), the battery life = battery capacity / (average daily working time × power consumption) = 25600Wh / (4h × 420W) ≈ 15.2 days, which is an estimate of 15 days and consistent with the calculated result. From the base station (sensing mode): Battery life = battery capacity / power consumption = 2880Wh / 1.8W = 1600 hours ≈ 66.7 days, the document estimates it as 67 days.

[0102] From the base station (communication mode): Battery life = 2880Wh / 3W = 960 hours = 40 days.

[0103] Battery life comparison table without sunlight:

[0104] (2) Year-round range guarantee capability The annual solar power generation of the main base station is 8800W × 1750h = 15400kWh; the annual energy consumption of the main base station is 420W × 4h × 365 days = 613.2kWh; the power generation is 25.1 times the energy consumption, which fully meets the power supply needs throughout the year and can cope with continuous cloudy days (such as 15 days without sunshine).

[0105] The annual solar power generation of the base station is 550W × 1750h = 962.5kWh; assuming the base station performs 12 hours of sensing and 1 hour of communication per day, the annual energy consumption is (1.8W × 12h + 3W × 1h) × 365 days = 10.185kWh; the power generation is 94.5 times the energy consumption, which can achieve 365 days of continuous standby without the need for manual energy replenishment.

[0106] (iii) Performance of High Isolation Antennas Comparison chart of antenna isolation optimization effects, as shown. Figure 10 The “HB array alone” (unoptimized antenna) in the figure has a co-frequency isolation of about 28dB, which cannot meet the co-frequency amplification requirements (prone to self-oscillation).

[0107] In the figure, “HB array with unaltered LB” (basic optimization): the isolation is improved to 35dB, but it is still close to the critical value.

[0108] The diagram shows "HB array with choked LB" (chock structure optimization): the isolation is improved to 42dB, exceeding the design target of 40dB, and the problem of self-oscillation at the same frequency is completely solved from the hardware perspective.

[0109] II. Overall System Synergy 1) Coverage effect of master-slave base station collaboration (regional coverage derivation) Figure 1 The master-slave base station deployment scheme (1 master + 2 slaves, arranged along the only road through the canyon) was clarified. Combined with the coverage parameters of a single base station, the overall coverage effect can be derived.

[0110] 1. Single base station coverage parameters

[0111] 2. Derivation of Collaborative Coverage Effect Deployment plan: The main base station is located in the center of the canyon, and two slave base stations are deployed at the upstream and downstream edges of the main base station (2.5km away from the main base station).

[0112] Total coverage length: 5km from the main base station + 1km from the upstream secondary base station (extending outwards from the main base station) + 1km from the downstream secondary base station (extending outwards from the main base station) = 7km.

[0113] Coverage continuity: The coverage overlap area between the main base station and the secondary base station is about 0.5km, with no signal blind spots. The RSRP is ≥-95dBm (good level), meeting the communication needs "from the entrance to the depths" in the canyon.

[0114] (ii) Energy consumption optimization effect of self-breathing mode (data comparison) The "self-breathing" mode (low-power sensing when no one is around, and communication started when someone is around) is the core of reducing energy consumption. By comparing the energy consumption of the "continuous communication mode" and the "self-breathing mode", its optimization effect can be verified.

[0115] 1. Energy consumption comparison data

[0116] 2. Conclusion on Optimization Results Annual energy consumption is reduced by approximately 36.7% (26.28-16.64) / 26.28×100%, significantly reducing the load on solar energy and batteries.

[0117] Improved battery life in the absence of sunlight: Battery life during the sensing period has been increased from 40 days to 67 days, an improvement of 67.5%, which can cope with longer periods of extreme cloudy weather and enhance system reliability.

[0118] III. Software Simulation and Supplementary Experimental Design 1) Detection effect of millimeter-wave human body sensing sensor

[0119] (ii) Low-power, low-noise amplifier performance simulation The performance of the "low-power, low-noise amplifier based on current reuse and active bias" was verified through ADS software simulation.

[0120] 1. Simulation Parameters and Results

[0121] 2. Simulation Conclusions The low-noise design, while meeting the requirements for gain and noise figure, reduces power consumption by 36%-49% compared to conventional products in the industry, providing core support for "low-power operation" of the base station, which is consistent with the design goal of "total power consumption of the base station is 3W" in the document.

[0122] Example 1 (System Overall Operation) A main base station and slave base stations were set up in an uninhabited mountainous area. The main base station's RRU equipment was connected to a remote public network BBU via optical cable, outputting 4G / 5G dual-mode signals. The slave base stations were deployed in a valley with no signal coverage. They received and amplified the main base station's signals through radio frequency amplification modules, and then forwarded them to village users via integrated high-isolation antennas, thus completing signal coverage. The system is powered by a self-powered subsystem, ensuring independent operation at all times.

[0123] The integrated sensing and control subsystem installs millimeter-wave sensors at road entrances. When someone enters the village road, the FPGA controller generates a mode switching command to enable the main base station RRU, allowing users to immediately obtain public network coverage. When no one is present, the system maintains a low-power sensing mode to save energy.

[0124] Example 2 (Features of the main base station) The main base station deployed in border areas uses dual-mode RRU equipment, supporting both NR700 and FDD900 to ensure compatible access for different terminals. This equipment features a 4-transmit, 4-channel design, achieving 2-3km coverage with a power consumption not exceeding 420W, making it suitable for wide-area, low-density population scenarios.

[0125] When a user brings their terminal into a dead zone, they can seamlessly access the public network to enable voice and data transmission. The main control module manages the start and stop of the RRU, allowing it to shut down when there is no user demand, thus avoiding prolonged high-power operation.

[0126] Example 3 (High Isolation Antenna) The base station antennas deployed in the Gobi Desert employ a multi-element array design for the receiver, achieving a gain of over 15dB, enabling stable reception of weak signals at the edge of the main base station. The user coverage units utilize a fewer-element array design with a gain of over 12dB, providing uniform coverage even in blind spots.

[0127] The co-frequency isolation between the receiving end and the coverage end reaches more than 40dB, ensuring that no self-excitation interference occurs during the signal amplification and forwarding process, thereby achieving highly reliable co-frequency coverage.

[0128] Example 4 (Low-noise RF amplification) The base station deployed on the edge of the desert uses an RF amplification module that integrates a duplexer and a low-noise amplifier. The low-noise amplifier employs a current multiplexing architecture and active bias technology to maintain a gain of over 30dB while keeping power consumption below 1.2W.

[0129] This design improves the sensitivity of weak signal reception while avoiding power supply pressure due to excessive energy consumption, ensuring that the system can maintain stable operation for a long time by relying on solar energy and batteries.

[0130] Example 5 (Millimeter-wave human body sensor) The millimeter-wave human body sensor deployed at the entrance to the uninhabited area operates in the 24GHz frequency band, using a frequency-modulated continuous wave waveform, and has a detection range exceeding 1km. This sensor can identify moving human targets and exclude non-human interference such as vehicles or the movement of grass or wind.

[0131] When a target enters the detection area, the sensor outputs a trigger signal, and the FPGA controller generates a mode switching instruction to enable the base station to switch from a low-power sensing mode to a high-power communication mode.

[0132] Example 6 (Energy Storage in Main Base Station) At border outposts lacking a stable power grid, the main base station is equipped with a 25.6 kWh battery pack. Even under conditions of 15 consecutive days without sunlight, the system can still maintain power for communication.

[0133] This energy storage design ensures communication reliability under extreme weather conditions, enabling stationed users to still access the public network even in long periods without sunlight, thus meeting safety and production needs.

[0134] Example 7 (Energy Storage from Base Station) In sparsely populated uninhabited areas, a 2.88 kWh battery pack configured at the base station can provide continuous power even under conditions of no sunlight for 67 consecutive days when maintaining the sensing mode.

[0135] This design is particularly suitable for extremely cold or rainy environments, ensuring that the sensor operates continuously online, detects human targets at any time, and promptly wakes up the main base station to guarantee emergency communication needs.

[0136] Example 8 (Solar Power Generation Module) In sunny high-altitude areas, the main base station is equipped with 16 550W photovoltaic panels, which can generate 8.8 kWh of electricity per hour, covering the energy consumption of the main base station RRU and control module and charging the battery at the same time.

[0137] The base station only needs one 550W photovoltaic panel, which generates 0.55 kWh of electricity per hour, which is sufficient to meet the low power consumption requirements of the millimeter-wave sensor and RF amplifier module, ensuring miniaturized independent operation.

[0138] Example 9 (Control Method Scenario) The system, deployed along mountain roads, uses millimeter-wave sensors to monitor traffic conditions in real time. When personnel or vehicles are detected entering the blind spot, the FPGA controller generates a switching command, enabling the main base station and the slave base station to enter communication mode and output public network signals.

[0139] When no one is passing through, the system automatically maintains the sensing mode and operates only at low power. This control method achieves "on-demand power supply + on-demand coverage," significantly extending the power supply cycle.

[0140] Example 10 (Intelligent Energy-Saving Logic) In desert border patrol applications, when millimeter-wave sensors detect the passing of patrol teams, the system immediately switches to communication mode, providing real-time public network coverage to ensure smooth communication.

[0141] After the patrol team leaves, the system resumes its sensing mode, the RRU devices are shut down, and only the sensors operate at low power. Through intelligent energy-saving logic, the energy efficiency of the entire system is significantly improved.

[0142] It should be noted that embodiments of the present invention can be implemented in hardware, software, or a combination of both. The hardware portion can be implemented using dedicated logic; the software portion can be stored in memory and executed by a suitable instruction execution system, such as a microprocessor or dedicated-design hardware. Those skilled in the art will understand that the above-described devices and methods can be implemented using computer-executable instructions and / or included in processor control code, for example, such code provided on a carrier medium such as a disk, CD, or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be implemented by hardware circuitry such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field-programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of the above-described hardware circuitry and software, such as firmware.

[0143] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications, equivalent substitutions, and improvements made by those skilled in the art within the scope of the technology disclosed in the present invention, and within the spirit and principles of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A sensor-integrated, self-sustaining, and self-breathing wireless blind-spot filling network system, characterized in that, include: The system comprises a main base station subsystem, a slave base station subsystem, an integrated sensing and control subsystem, and a self-powered subsystem. The main base station subsystem includes an RRU device, a main control module, and a main antenna module. The RRU device is connected to the remote baseband unit via an optical cable and is used to output mobile public network signals. The main control module is used to receive control commands and control the start and stop of the RRU device. The slave base station subsystem includes a radio frequency amplification module, an integrated high isolation antenna, and a slave control module. The radio frequency amplification module receives and amplifies the signal from the master base station subsystem and forwards it to the user terminal via the integrated high isolation antenna. The slave control module is used to receive control commands and schedule the working status. The integrated sensing control subsystem includes a millimeter-wave human body sensor and a field-programmable gate array controller. The millimeter-wave human body sensor is used to detect human targets and output sensing signals. The field-programmable gate array controller is used to generate mode switching instructions according to the sensing signals and send them to the main control module and the slave control module. The self-supplementing subsystem includes a solar power generation module, an energy storage module, and a power controller. The solar power generation module supplies power to the system and charges the energy storage module. The power controller is used to implement power supply logic switching and charging protection.

2. The system according to claim 1, characterized in that, The RRU device of the main base station subsystem is a dual-mode device that supports both NR700 and FDD900 frequency bands, has 4 channels for both transmit and receive, a maximum operating power of no more than 420 watts, and an effective coverage distance of 2 to 3 kilometers.

3. The system according to claim 1, characterized in that, The integrated high-isolation antenna includes a signal receiving end and a user coverage end. The signal receiving end is a multi-element array with a gain of not less than 15 dB, and the user coverage end is a few-element array with a gain of not less than 12 dB. The co-frequency isolation between the receiving end and the coverage end is not less than 40 dB.

4. The system according to claim 1, characterized in that, The radio frequency amplification module includes a duplexer and a low-noise amplifier. The low-noise amplifier adopts a current multiplexing architecture and active bias technology, and has a gain of not less than 30 dB and a power consumption of not more than 1.2 watts.

5. The system according to claim 1, characterized in that, The millimeter-wave human body sensor operates at a frequency of 24 GHz, uses a frequency-modulated continuous wave waveform, has a detection range of no less than 1 kilometer, a power consumption of no more than 0.4 watts per sensor, and is able to distinguish between human targets and non-human interference.

6. The system according to claim 1, characterized in that, The main base station in the energy storage module is equipped with a 25.6 kWh battery pack, which can provide continuous power for communication mode for 15 days under no sunlight conditions.

7. The system according to claim 1, characterized in that, The energy storage module is equipped with a 2.88 kWh battery pack from the base station, which can provide continuous power for 67 days in the sensing mode under no sunlight conditions.

8. The system according to claim 1, characterized in that, The solar power generation module includes monocrystalline silicon photovoltaic panels. The main base station uses 16 photovoltaic panels with a power of 550 watts each, with a total power generation capacity of 8.8 kWh per hour. The slave base station uses one photovoltaic panel with a power of 550 watts each, with a power generation capacity of 0.55 kWh per hour.

9. A control method for a self-sustaining, self-breathing wireless blind-spot filling network system integrating sensing and communication, characterized in that, Includes the following steps: Step 1: The millimeter-wave human body sensor detects the target in real time and generates a sensing signal; Step 2: The field-programmable gate array controller identifies the human target based on the sensing signal and generates a mode switching command; Step 3: The main control module and the slave control module switch the system to communication mode or sensing mode according to the mode switching command; Step four: The solar power generation module and the energy storage module provide the required energy for the communication mode or sensing mode according to the scheduling of the power controller.

10. The control method according to claim 9, characterized in that, When the millimeter-wave human body sensor does not detect a target, the system maintains the sensing mode, and the main base station subsystem is in standby mode, retaining only sensing and low-power operation; when a target is detected, the system switches to the communication mode, waking up the main base station and the slave base station to achieve blind spot coverage.

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