Adaptive Cross-Layer Optimization Across Wireless Network Nodes
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Solution Overview
Problem
Conventional cross-layer optimization in wireless communication systems is limited to single nodes and does not adapt to network changes or events across nodes, preventing global network optimization.
Innovation Solution
Adaptive cross-layer cross-node optimization dynamically shifts and distributes functions across nodes in a wireless network to achieve global network objectives, allowing for real-time optimization of interactions and node functions in response to network conditions and events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cross-layer optimization is confined within a single node, then the optimization process is simpler and more manageable, but the system cannot react to changes in network conditions or events across multiple nodes
Solution Approach 1:
The patent segments the cross-layer optimization function into distributed components across multiple nodes. Each node maintains its own cross-layer optimization capabilities while participating in a coordinated network-wide optimization process, allowing the system to react to local changes without requiring centralized control of the entire optimization process
Solution Approach 2:
The patent transitions from single-node cross-layer optimization to multi-node cross-layer optimization by adding the spatial dimension of network topology. This enables the system to optimize not only across protocol layers but also across network nodes, reacting to changes in network conditions and events distributed throughout the network
2Adaptability or versatility
If functions are statically assigned to nodes, then the network structure is simpler and more stable, but the network cannot dynamically adapt to satisfy changing network objectives
Solution Approach 1:
The patent implements dynamic function distribution where network functions and layers can be shifted between nodes based on changing network conditions and objectives. This dynamic allocation allows the network to adapt its structure and capabilities in real-time, optimizing performance for different scenarios such as varying traffic patterns, security requirements, or network topology changes
Solution Approach 2:
The patent changes the operational parameters of network nodes by dynamically shifting which protocol layers and functions are executed at each node. This parameter change enables the network to transform its functional architecture adaptively, allowing certain nodes to take on additional responsibilities or shed functions based on current network needs
Data Source
AI summary
Methods and systems for adaptive cross-layer cross-node optimization in wireless communication systems are provided. Adaptive cross-layer cross-node optimization allows for conventional cross-layer optimization coupled with the ability to adaptively optimize cross-layer interactions across node boundaries. In one aspect, adaptive cross-layer cross-node optimization includes adaptively and dynamically shifting functions/layers among nodes in a network, so that a global network objective is achieved. In another aspect, adaptive cross-layer cross-node optimization includes adaptively and dynamically distributing functions/layers across a network, according to changes and/or events in the network. In a further aspect, adaptive cross-layer cross-node optimization includes dynamically defining or changing individual node functions within a network, so that a global network functionality may emerge.