Wireless Terminal Mode Control via Network Parameter Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Hybrid cellular and non-cellular networks face challenges in optimizing mode of operation for wireless terminals (WTs) due to limited knowledge of overall network conditions, leading to suboptimal throughput and resource allocation, especially in regions with sparse cellular base station deployment and varying terrain.
Innovation Solution
A system that monitors and analyzes network conditions, allowing wireless terminals to make mode operation decisions based on dynamic control parameters influenced by centralized management, optimizing the allocation of resources and adjusting parameters to balance load and power consumption across different modes of operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If more cellular base stations are installed to increase bandwidth capacity, then network throughput is improved, but device complexity and deployment cost increase
Solution Approach 1:
The patent introduces a network control entity that acts as an intermediary to manage WT mode operations. This entity collects information from multiple WTs, analyzes network conditions, and distributes control parameters to optimize throughput without requiring physical expansion of base station infrastructure. The control entity mediates between individual WT decisions and overall network performance.
Solution Approach 2:
The system dynamically adjusts control parameters (such as threshold values for mode selection) based on network conditions and WT distribution. By changing these parameters centrally, the system optimizes network throughput and resource allocation without adding physical infrastructure, thereby avoiding deployment complexity.
2Ease of operation
If WTs use static parameters for mode of operation decisions, then ease of operation is improved, but network throughput deteriorates due to suboptimal decisions
Solution Approach 1:
The network control entity collects information from WTs about their operating modes and network conditions, analyzes this feedback data, and adjusts control parameters accordingly. This closed-loop feedback mechanism enables dynamic optimization of throughput while maintaining operational simplicity for individual WTs, as they continue to use straightforward decision logic based on received parameters.
Solution Approach 2:
The system transitions from static parameters to dynamic parameter adjustment. Control parameters are no longer fixed but are continuously updated by the network control entity based on real-time network conditions and WT distribution, enabling the system to adapt and optimize throughput while keeping individual WT operations simple.
3Ease of operation
If individual WTs make mode decisions based on local information only, then ease of operation is improved, but network resource allocation deteriorates due to lack of global view
Solution Approach 1:
The network control entity serves as an intermediary that collects local information from WTs, aggregates it with network-wide context, and processes it into optimized control parameters. This mediator approach allows individual WTs to maintain simple local decision-making while indirectly benefiting from global network information that the control entity has synthesized and distributed.
Solution Approach 2:
The system enables WTs to autonomously make mode decisions using control parameters provided by the network, without requiring them to directly access or process complex network-wide information. The WTs self-organize their operations based on the parameters, achieving simple local operation while the network control entity handles the complex information aggregation and analysis.
Data Source
AI summary
Described herein are devices, networks, systems, media, and methods used to collect WT information and to alter, based on or taking the collected information into consideration, one or more parameters used to control a mode of operation in which WTs decide to operate. In this way the relative portions of WTs operating in a first or second mode in one or more regions can be automatically adjusted by a network control node modifying mode of operation control parameters which are then communicated to the WTs in the region in which the modified WT mode control parameter is to be used. The wireless terminals than make a decision as to the mode of operation in which to operate using the modified mode control parameter and one or more signal measurements or other information available to the WT making the mode of operation decision.