Mobile Transceiver Sensitivity Bias for Handover Optimization
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Solution Overview
Problem
In heterogeneous mobile communication networks, existing radio resource management techniques, such as enhanced Inter-Cell Interference Coordination (eICIC), rely heavily on blanket or almost blank sub-frames to mitigate interference, but these methods do not account for the varying receiver sensitivity of mobile devices, leading to suboptimal handover decisions and reduced network performance.
Innovation Solution
Implementing a system where base station transceivers request and utilize individual receiver sensitivity information from mobile transceivers to determine customized bias values for handover decisions, optimizing resource allocation and interference management based on each device's capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If blanket or almost blank sub-frames are used to mitigate interference in heterogeneous networks, then interference between macro cells and small cells is reduced, but receiver sensitivity variations among mobile devices are not accounted for, leading to suboptimal handover decisions
Solution Approach 1:
The patent applies local quality by transitioning from uniform blanket sub-frame configurations to device-specific resource allocation. Each mobile device receives customized almost blank sub-frame patterns tailored to its receiver sensitivity characteristics, allowing the network to optimize interference mitigation on a per-device basis rather than applying a one-size-fits-all approach.
Solution Approach 2:
The patent implements dynamics by making handover decisions and resource allocation adaptive to real-time channel conditions and device-specific receiver sensitivity measurements. The system dynamically adjusts which devices receive almost blank sub-frames and when, based on measured channel quality indicators and receiver sensitivity variations, rather than using static configurations.
2Adaptability or versatility
If customized bias values are determined based on individual receiver sensitivity information, then handover decisions are optimized for each device, but additional signaling overhead and processing complexity are introduced
Solution Approach 1:
The patent applies self-service by having mobile devices autonomously measure their own receiver sensitivity characteristics and report these measurements to the network. The devices perform self-diagnosis of their reception capabilities using reference signals from the network, eliminating the need for complex network-side sensitivity measurement equipment and reducing overall system complexity.
Solution Approach 2:
The patent implements feedback mechanisms where mobile devices measure channel quality indicators and receiver sensitivity, then feed this information back to the network. The network uses this feedback to determine customized bias values and almost blank sub-frame configurations, creating a closed-loop system that continuously optimizes handover decisions based on actual device performance.
3Productivity
If receiver sensitivity information is collected and used for customized resource allocation, then network performance and throughput are improved, but measurement and detection complexity increases
Solution Approach 1:
The patent applies preliminary action by having the network configure mobile devices with reference signal patterns and measurement parameters before the devices perform receiver sensitivity measurements. The network pre-provides the measurement framework, including which reference signals to measure and how to process them, simplifying the device-side measurement process and reducing detection complexity.
Solution Approach 2:
The patent implements universality by using existing reference signals and measurement mechanisms already present in the network for the additional purpose of determining receiver sensitivity. The same reference signals used for channel quality estimation and handover decisions are also utilized to assess receiver sensitivity, eliminating the need for separate dedicated measurement signals and reducing overall system complexity.
Data Source
AI summary
Embodiments relate to apparatuses, methods and a computer programs for a mobile transceiver (100) and a base station transceiver (200). The mobile transceiver apparatus (10) comprises means for receiving (12) radio signals from two or more base station transceivers, the means for receiving (12) further having a receive sensitivity determining a possibility to decode data from a radio signal of one of the two or more base station transceivers, while also receiving radio signals from the other of the two or more base station transceivers. The mobile transceiver apparatus further comprises means for providing (14) sensitivity information on the receive sensitivity to an associated base station transceiver (200). The base station transceiver apparatus (20) comprises means for receiving (22) the sensitivity information on the receiver sensitivity and means for determining (24) configuration information on a measurement configuration for the mobile transceiver (100). The configuration information comprises information on a signal quality measurement at the mobile transceiver (100) on radio signals received from another base station transceiver and the configuration information comprises bias information for biasing the signal quality measurement, the bias information is based on the sensitivity information.