Cost Effective Network Interference Cancellation
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Solution Overview
Problem
Existing interference cancellation techniques in cellular networks require substantial backhaul exchanges, which can overwhelm limited backhaul capacity, especially when decoding and sharing interference data between base stations.
Innovation Solution
Implement methods and protocols to determine cost-effectiveness for decoding and sharing interference data, such as assessing thresholds for decoded data size, modulation schemes, error control coding rates, and path loss differences, to minimize unnecessary backhaul data transmission and optimize interference cancellation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If decoded signaling is shared between base stations for interference cancellation, then signal quality is improved, but backhaul capacity is overwhelmed
Solution Approach 1:
The patent applies parameter changes by introducing multiple thresholds (decoded data size threshold, average data threshold, modulation rate threshold, coding rate threshold, MCS threshold, delta path loss threshold, received power difference threshold) to dynamically control when decoded signaling should be shared between base stations. This selective sharing based on parameter evaluation optimizes the balance between interference cancellation effectiveness and backhaul capacity utilization.
Solution Approach 2:
The system implements self-service by enabling base stations to autonomously evaluate whether sharing decoded signaling would be beneficial by comparing various parameters against predefined thresholds. Each base station independently determines whether to request and share decoded data without requiring centralized coordination, thereby reducing unnecessary backhaul exchanges while maintaining interference cancellation benefits.
2Reliability
If decoded signaling is requested and shared between base stations, then interference cancellation effectiveness is improved, but backhaul data transmission increases
Solution Approach 1:
The patent uses parameter changes by establishing multiple thresholds that evaluate different aspects of the decoded signaling (size, average data per resource block, modulation rate, coding rate, MCS, delta path loss, received power difference). By dynamically assessing these parameters, the system determines whether the benefit of improved interference cancellation justifies the cost of backhaul data transmission, thereby optimizing the trade-off between cancellation effectiveness and data transmission overhead.
Solution Approach 2:
The system applies partial action by selectively sharing decoded signaling only when specific conditions are met (i.e., when parameters indicate potential benefit). Rather than universally sharing all decoded data between base stations, the system performs partial sharing based on evaluated conditions, reducing unnecessary backhaul data transmission while maintaining interference cancellation effectiveness where beneficial.
3Reliability
If substantial backhaul exchanges are performed for interference cancellation, then decoding success rate is improved, but network capacity is consumed
Solution Approach 1:
The patent applies parameter changes by introducing a comprehensive evaluation framework with multiple thresholds that assess whether requesting and sharing decoded signaling would improve decoding success rate sufficiently to justify consuming network capacity. The thresholds evaluate decoded data size, average data per resource block, modulation rate, coding rate, MCS, delta path loss, and received power difference to make informed decisions about backhaul exchanges.
Solution Approach 2:
The system implements self-service by enabling base stations to autonomously determine whether decoding success rate improvement justifies network capacity consumption. Each base station independently evaluates parameters and makes decisions about requesting and sharing decoded signaling without centralized control, thereby optimizing the balance between decoding success and network capacity utilization.
Data Source
AI summary
Embodiments are described herein to provide improvements to known network interference cancellation techniques. One general approach involves a first network node attempting (801) to decode a received signal which includes signaling from a first wireless device transmission and at least one interfering transmission. If the first network node is unsuccessful in attempting to decode the received signal, it is determined (802) whether it would be cost effective to obtain decoded signaling from a serving network node of a wireless device that corresponds to the at least one interfering transmission. If (803) it is determined to be cost effective, the decoded signaling that corresponds to the at least one interfering transmission is requested.


