Intelligent Radio Network Access Point Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data radio communication networks using radio communication infrastructures face inefficiencies due to the need for substantial bandwidth and lack of spatial redundancy, particularly in narrow frequency bands like the ISM and ERC 70-03 bands, leading to channel congestion and interference.
Innovation Solution
An intelligent network dynamically selects the best-received access point for each communicating radio device based on uplink and downlink quality, using a selection algorithm that considers variables such as reception levels, feedback periods, and message success rates to optimize communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated communication channels are allocated for each radio device, then communication reliability is improved, but bandwidth consumption increases significantly
Solution Approach 1:
Multiple access points are merged into a coordinated system that serves multiple radio devices simultaneously. The access points work together as a unified network infrastructure, sharing the available bandwidth through coordinated transmission and reception operations, thereby reducing total bandwidth consumption while maintaining communication reliability.
Solution Approach 2:
Each access point is designed with multi-functionality, serving not only its associated radio devices but also participating in network-wide operations such as relay communications, interference management, and collaborative signal processing. This universal functionality allows efficient utilization of limited bandwidth resources across the entire network.
2Productivity
If multiple channels are used for data transmission, then data throughput is improved, but channel congestion and interference increase
Solution Approach 1:
The system implements continuous feedback mechanisms where access points monitor channel conditions, interference levels, and transmission success rates. Based on this feedback, the network dynamically adjusts transmission parameters, channel assignments, and power levels to optimize data throughput while minimizing congestion and interference effects.
Solution Approach 2:
The network employs dynamic channel allocation and transmission parameter adjustment rather than static configurations. Access points and radio devices adapt their communication strategies in real-time based on changing network conditions, allowing the system to maintain high throughput while dynamically avoiding congestion and interference.
3Reliability
If radio devices transmit at full power to ensure reception, then signal quality is improved, but energy consumption increases
Solution Approach 1:
Instead of uniform full-power transmission across the network, each radio device transmits at locally optimized power levels based on its specific distance to access points, environmental conditions, and channel quality. This localized power adjustment ensures sufficient signal quality for reliable communication while minimizing unnecessary energy consumption.
Solution Approach 2:
The system uses partial power transmission rather than always transmitting at full power. Radio devices transmit at the minimum necessary power level required to achieve acceptable signal quality, using full power only when absolutely necessary for maintaining communication reliability under challenging conditions.
4Area of stationary object
If access points are densely deployed to improve coverage, then network coverage is improved, but device complexity and coordination difficulty increase
Solution Approach 1:
The network is segmented into multiple independently manageable access point units, each capable of autonomous operation within its local area. This segmentation allows dense deployment for improved coverage while keeping individual device complexity low, as each access point handles only its local communications and coordinates through standardized protocols with the central controller.
Solution Approach 2:
A central controller or coordinator acts as an intermediary between densely deployed access points, managing coordination and resource allocation. This intermediary simplifies the interaction complexity between access points by providing centralized management, allowing dense deployment for improved coverage without proportionally increasing coordination difficulty.
Data Source
Figure 1~2
Figure 3
AI summary
An intelligent network for communicating data by radio comprising: a collecting network consisting of sensors and/or counters equipped with communicating radio devices (e3) for transmitting and receiving, preferably having adjustable transmission power; access points (P1, P2, P3), equipped with radio communication modules for transmitting and receiving, which collect data provided by the communicating radio devices, and a central information system (B) consisting of at least one server, at least one database, and at least one operating station (F), said system being programmed to process and store all the gathered data and to control all or part of the collecting network; the central information system (B) is programmed to define a reference access point (P2) for each communicating radio device (e3), said access point being that which is the best received by the communicating radio device.