Sounding Resource Allocation in LTE Wireless Networks
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Solution Overview
Problem
High cell loads in LTE wireless communication systems make it impractical to provide rich channel state information (CSI) to all mobile devices, leading to excessive signaling overhead and inefficient allocation of sounding reference symbol (SRS) resources, particularly affecting cell edge users and increasing the risk of radio link failures.
Innovation Solution
A computing apparatus determines device states based on various criteria such as transmit buffer data, traffic type, and resource block usage to dynamically allocate richer sounding configurations to mobile devices that can benefit most, while minimizing radio resource control reconfigurations and swapping resources between devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If rich CSI signaling is provided to all on-line mobile devices to achieve good frequency selective scheduling, then frequency selective scheduling performance is improved, but signaling overhead becomes excessive and SRS resources are exhausted
Solution Approach 1:
The patent applies local quality by differentiating the level of CSI signaling provided to different mobile devices based on their location and characteristics. Cell edge devices receive rich CSI signaling while cell center devices receive reduced signaling, optimizing the balance between scheduling performance and signaling overhead.
Solution Approach 2:
The patent implements partial action by providing rich CSI signaling only to a subset of mobile devices (specifically cell edge devices) rather than all on-line devices. This selective approach maintains sufficient scheduling performance for critical users while reducing overall signaling overhead.
2Measurement precision
If frequent sounding is performed to maintain accurate frequency specific CSI across multiple scheduling periods, then CSI accuracy is improved, but SRS resources are exhausted and cell uplink throughput is reduced
Solution Approach 1:
The patent applies local quality by differentiating sounding frequency based on device location and mobility characteristics. Cell edge devices with higher mobility receive more frequent sounding while cell center devices receive less frequent sounding, optimizing CSI accuracy where needed without wasting resources elsewhere.
Solution Approach 2:
The patent implements partial sounding action by performing frequent sounding only for a subset of mobile devices that require it (cell edge devices) rather than all devices. This maintains necessary CSI accuracy for critical users while preserving SRS resources for other purposes.
3Productivity
If RRC connection reconfiguration is used to change sounding configuration for mobile devices, then sounding resource allocation is optimized, but radio link failure risk increases especially for cell edge devices
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple sounding reference symbol configurations with different resource allocations before they are needed. The network can then switch between these pre-configured options based on current device conditions without requiring complex real-time reconfiguration procedures.
Solution Approach 2:
The patent implements dynamic sounding configuration selection where the network dynamically chooses between multiple pre-configured SRS configurations based on real-time device conditions such as mobility and location, rather than performing static reconfiguration procedures.
4Productivity
If frequent RRC connection reconfigurations are performed to optimize sounding configuration, then sounding resource allocation is improved, but device complexity and signaling overhead increase
Solution Approach 1:
The patent applies preliminary action by preparing multiple sounding configurations in advance with different resource allocation levels. This allows the network to switch between configurations based on device needs without performing complex reconfiguration procedures, reducing RRC signaling overhead.
Solution Approach 2:
The patent implements parameter changes by modifying sounding configuration parameters (such as sounding reference symbol allocation) through more efficient mechanisms that reduce the frequency and complexity of RRC connection reconfigurations while maintaining optimal resource allocation.
Data Source
AI summary
A computing apparatus for allocating sounding resources in an access node of a wireless network. The computing apparatus comprises a processor configured to determine a first device state based on a device state model and first device information, wherein the first device state model includes a finite number of states. The processor is configured to determine a first target sounding configuration for the first device information based on the first device state, and output the first target sounding configuration.