Network Node Density Control for Ultra-Dense Radio Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional radio resource management techniques are inadequate for ultra-dense radio access networks, as they fail to dynamically adapt to time- and spatial changes in traffic patterns and user mobility, leading to inefficient resource allocation and increased interference.
Innovation Solution
A network node system that determines the density of network nodes and allocates resources dynamically based on real-time network information, allowing for adaptive operational states and frequency resource adjustments to optimize resource utilization and minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional static radio resource management is used, then network configuration is simple, but resource allocation efficiency deteriorates in ultra-dense networks
Solution Approach 1:
The patent implements dynamic resource allocation where network nodes can switch between dormant and active states based on real-time traffic conditions. The system continuously monitors traffic patterns and dynamically activates or deactivates network nodes, transforming the static network configuration into a dynamic one that adapts to changing demands, thereby improving resource allocation efficiency without requiring permanently complex configuration mechanisms.
Solution Approach 2:
The system changes operational parameters such as transmission power, frequency carriers, and node activation states based on traffic conditions. By dynamically adjusting these parameters rather than maintaining fixed configurations, the network achieves efficient resource utilization in ultra-dense deployments while keeping the underlying configuration framework relatively simple.
2Object-affected harmful factors
If network nodes operate with fixed transmission power and frequency allocation, then device complexity is low, but interference increases and spectral efficiency deteriorates
Solution Approach 1:
The patent employs parameter changes by dynamically adjusting transmission power levels, frequency carrier selections, and node activation states based on real-time traffic conditions and interference measurements. This allows the system to reduce interference and improve spectral efficiency without requiring permanently complex device architectures, as the complexity is activated only when needed.
Solution Approach 2:
Network nodes autonomously monitor their own traffic conditions and interference levels, then self-adjust their operational parameters such as power output and frequency usage. This self-service capability reduces interference and improves spectral efficiency without requiring complex centralized control, distributing the intelligence across individual nodes.
3Reliability
If densely deployed network nodes are activated continuously, then network coverage is improved, but energy consumption increases
Solution Approach 1:
The system implements dynamic node activation where network nodes switch between dormant and active states based on real-time traffic demands. During low-traffic periods, nodes are deactivated to save energy while maintaining coverage capability. During high-traffic periods, nodes are activated to ensure adequate coverage, creating a dynamic balance between coverage reliability and energy consumption.
Solution Approach 2:
Individual network nodes autonomously monitor local traffic conditions and independently switch their operational states. This distributed self-service approach allows the network to maintain coverage where needed while conserving energy in low-demand areas, with each node making local decisions about its own power state based on observed traffic patterns.
4Adaptability or versatility
If radio resources are statically allocated to network nodes, then device complexity is low, but adaptability to traffic patterns deteriorates
Solution Approach 1:
The patent transforms static resource allocation into a dynamic system where frequency carriers, power levels, and node activation states are continuously adjusted based on observed traffic patterns. The system monitors traffic demands and adaptively reallocates resources, enabling high adaptability to varying traffic conditions while keeping the base allocation framework relatively simple.
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
The present invention relates to a first network node and a second network node. The first network node (100) comprises: a processor (102); and a transceiver (104); wherein the transceiver (104) is configured to receive a first signal (S1) comprising a network information message indicating network information associated with a region (R) or with at least one subregion (SR) of the region (R); wherein the processor (102) is configured to determine a density of network nodes for operation λ b in the region (R) or in the sub-region (SR) based on the network information; and wherein the transceiver (104) further is configured to transmit a second signal (S2) to one or more second network nodes (300a, 300b,..., 300n) associated with the region (R) or with the sub-region (SR), the second signal (S2) comprising a first network resource allocation message indicating the density of network nodes for operation λ b . The second network node (300) comprises: a processor (302); and a transceiver (304); wherein the transceiver (304) is configured to receive a second signal (S2) from a first network node (100), the second signal (S2) comprising a first network resource allocation message indicating a density of network nodes for operation λ b in a region (R) or in at least one subregion (SR) of the region (R); wherein the processor (302) is configured to control an operational state of the second network node (300) in the region (R) or in the sub-region (SR) based on the first network resource allocation message or to determine an operational state for one or more other second network nodes (300a, 300b,..., 300n) in the region (R) or in the sub-region (SR) based on the first network resource allocation message; and wherein the transceiver (304) further is configured to transmit a third signal (S3) to the one or more other second network nodes (300a, 300b,..., 300n), the third signal (S3) comprising a second network resource allocation message indicating the operational state for the one or more other second network nodes (300a, 300b,..., 300n) and the density of network nodes for operation λ b . Furthermore, the present invention also relates to corresponding methods, a computer program, and a computer program product.