Communication Parameter Selection for Small Cell Interference
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Solution Overview
Problem
In small cell wireless networks, traditional communication parameter selection methods fail to effectively address interference issues caused by hidden neighboring radio access points, leading to a high probability of PSC conflicts and network interference, especially in densely deployed RAPs.
Innovation Solution
A method is introduced to predict and select communication parameters by determining a list of neighboring RAPs, ranking candidate parameters based on unique identifiers, and removing predicted selections by higher-priority neighbors to minimize conflicts, using a hash-modulus operation for distributed parameter selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional communication parameter selection methods are used in small cell wireless networks, then the deployment of RAP devices is simplified, but interference occurs due to PSC conflicts between hidden neighboring RAPs
Solution Approach 1:
The system performs preliminary actions by obtaining a list of neighboring RAPs and predicting their parameter selections before the actual parameter selection occurs. This predictive approach allows the current RAP to choose parameters that avoid conflicts with hidden neighbors, preventing interference before it happens rather than reacting to it afterward
Solution Approach 2:
A prediction mechanism acts as an intermediary between the current RAP and hidden neighboring RAPs. This intermediary predicts which parameters neighboring RAPs will select and uses this information to guide the current RAP's parameter selection, effectively mediating the resource allocation to avoid conflicts without requiring direct communication between all RAPs
2Device complexity
If RAPs autonomously select communication parameters without coordination, then device complexity is reduced, but the probability of PSC conflicts increases in densely deployed networks
Solution Approach 1:
Each RAP autonomously performs the parameter selection process using locally available information (neighboring RAP list and candidate parameters). The system serves itself by making intelligent predictions about neighbor selections and independently choosing conflict-free parameters, maintaining low device complexity while improving reliability through distributed intelligent decision-making
Solution Approach 2:
The system changes the approach to parameter selection by introducing a prediction-based filtering mechanism. Instead of randomly or简单地 selecting from candidate parameters, the system predicts which parameters will be selected by neighboring RAPs and adjusts its own selection to avoid those predicted values, thereby changing the selection strategy to improve reliability
3Speed
If the number of candidate communication parameters is reduced for each RAP, then parameter selection speed increases, but the likelihood of parameter conflicts with hidden neighbors increases
Solution Approach 1:
The system performs preliminary filtering of candidate parameters by predicting which ones will be selected by neighboring RAPs. This preliminary action removes conflicting parameters from consideration before the final selection is made, allowing the RAP to quickly choose from a pre-filtered set of safe options without sacrificing conflict avoidance capability
Data Source
AI summary
Communication parameter selection techniques are presented to reduce interference in small cells of wireless networks. A list of neighboring radio access points with respect to a particular radio access point in a wireless network is obtained. The list includes a unique identifier for each neighboring radio access point. A set of candidate communications parameters are obtained for use in the wireless network by the particular radio access point. A prediction is made of candidate communications parameters in the set of candidate communications parameters which can be used by the neighboring radio access points. The communication parameters in the set of candidate communication parameters which are available for use by the particular access point are determined based on the predicted set of communications parameters. A communication parameter is selected for use by the particular radio access point based on the communication parameters determined to be available for use.