Cooperation Area Selection for Interference Cancellation
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Solution Overview
Problem
Existing cellular network systems face challenges in achieving user-centric cooperation gains due to high complexity and network load, particularly in determining cooperation areas for mobile terminals, which limits the effectiveness of coordinated multi-point (CoMP) transmission in LTE Advanced networks.
Innovation Solution
A method where mobile terminals determine their n strongest interferers to select a cooperation area comprising m base stations, where m is greater than n, allowing for user-centric cooperation with reduced processing effort and network load, and utilizing antenna tilting to minimize interference from distant base stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user centric cooperation areas are determined based on n strongest interferers, then interference cancellation performance is improved, but the complexity of determining cooperation areas and network load increase
Solution Approach 1:
The network is segmented into multiple predefined cooperation areas, each covering a specific geographic region. Instead of determining cooperation areas dynamically for each UE based on interferer identification, the system divides the network into manageable segments (cooperation areas) that can be independently managed. This reduces the computational complexity at each UE while maintaining effective interference cancellation within each segment.
Solution Approach 2:
Cooperation areas are predefined in advance based on network topology and typical interference patterns, rather than being determined dynamically for each UE. This preliminary segmentation allows the system to prepare cooperation structures beforehand, reducing real-time processing complexity while ensuring that UEs can be efficiently assigned to appropriate predefined areas based on their current interference conditions.
2Device complexity
If cooperation areas are limited to a few adjacent cells, then data load and processing complexity are reduced, but interference from distant base stations cannot be suppressed
Solution Approach 1:
The system dynamically assigns UEs to different predefined cooperation areas based on their current location and interference conditions. A UE may be assigned to one cooperation area when experiencing interference from certain base stations, and to a different cooperation area when the interference pattern changes. This dynamic assignment allows the system to adapt to varying interference conditions while maintaining limited cooperation area sizes, effectively suppressing interference from distant base stations by selecting the appropriate predefined area.
3Device complexity
If network predefined cooperation areas are used, then device complexity is reduced, but user centric performance gains are limited due to inability to target specific interferers
Solution Approach 1:
The system incorporates feedback mechanisms where UEs report their measured interference conditions to the network. Based on this feedback, the network optimally assigns UEs to the most appropriate predefined cooperation areas. This feedback loop enables the system to maintain low device complexity (since areas are predefined) while achieving good interference suppression effectiveness by making informed assignments based on actual UE interference experiences.
Data Source
AI summary
A method and a device for determining a cooperation area for a mobile terminal in a cellular network, wherein the mobile terminal determines its n strongest interferers; wherein the cooperation area is selected for the mobile terminal regarding the n strongest interferers; and wherein the cooperation area includes m base stations and wherein the number m of base stations is larger than the number n of strongest interferers. Furthermore, a communication system is suggested including said device.