Wireless Network Virtualization via Cloud Resource Pooling
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Solution Overview
Problem
Existing wireless communication networks face inefficiencies due to static resource allocation and lack of dynamic management, particularly in heterogeneous multi-RAT networks, leading to increased signaling loads and congestion, especially with the integration of small cells and diverse radio technologies.
Innovation Solution
The implementation of a computing cloud that virtualizes multiple radio access technologies into a single architecture, using an intelligent radio controller to dynamically manage network resources, including a paging strategy and handover methods, to optimize resource allocation and reduce signaling burdens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static resource allocation is used in wireless networks, then device complexity is reduced and ease of operation is improved, but resource utilization efficiency deteriorates and productivity decreases
Solution Approach 1:
The patent implements dynamic resource allocation where network resources are not statically assigned but dynamically adjusted based on real-time conditions. The system continuously monitors network state and reconfigures resource allocation to match current demands, enabling high resource utilization while maintaining manageable complexity through automated control mechanisms.
Solution Approach 2:
The patent employs feedback mechanisms where the system monitors network performance metrics and resource usage patterns, then uses this information to adjust resource allocation decisions. This closed-loop control enables the network to adapt to changing conditions automatically, improving productivity without requiring complex manual management.
2Adaptability or versatility
If heterogeneous multi-RAT networks are integrated, then adaptability and versatility are improved, but signaling load increases and network congestion worsens
Solution Approach 1:
The patent merges multiple radio access technologies (LTE, Wi-Fi, 5G) into a unified network architecture where diverse RATs are integrated under common management. This consolidation enables the network to handle multiple technology types simultaneously while reducing overall signaling load through centralized control and coordinated resource management across different RATs.
Solution Approach 2:
The patent creates a universal network framework that can accommodate multiple radio access technologies through a common management plane. The system provides multi-functional capabilities to handle different RAT types, protocols, and service requirements within a single integrated architecture, improving versatility while managing signaling efficiently through unified procedures.
3Productivity
If virtualization is implemented to share hardware resources, then productivity and resource efficiency are improved, but device complexity and management difficulty increase
Solution Approach 1:
The patent introduces a virtualization management layer that acts as an intermediary between physical hardware resources and network services. This intermediary layer abstracts the complexity of hardware virtualization, presenting simplified management interfaces while efficiently allocating and managing shared hardware resources across multiple virtual networks and services.
4Productivity
If dynamic resource management is implemented, then resource allocation efficiency is improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent implements self-service mechanisms where the network system automatically performs resource allocation and management tasks without requiring complex external control. The network monitors its own state, makes autonomous decisions about resource distribution, and adjusts allocations dynamically based on real-time conditions, improving efficiency while keeping control system complexity manageable through decentralized intelligence.
Data Source
AI summary
We disclose systems and methods of dynamically virtualizing a wireless communication network. The communication network is comprised of heterogeneous multi-RAT mesh nodes coupled to a computing cloud component. The computing cloud component virtualizes the true extent of the resources it manages and presents an interface to the core network that appears to be a single base station.