Cooperating Clusters for Cellular Interference Coordination
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Solution Overview
Problem
Current cellular communications systems face challenges in achieving optimal performance and capacity due to limitations in coordinated scheduling, particularly in managing downlink interference and backhaul communication constraints, which restrict the implementation of coordinated scheduling methods.
Innovation Solution
A method for establishing a cooperating cluster in cellular communications systems by transmitting a request for cluster formation between network nodes, including a metric and identification of cells, with acceptance evaluation to manage backhaul latency and computational resources, allowing for dynamic coordination and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If coordinated scheduling is implemented across many sites to reduce inter-site interference, then performance gains are achieved, but computational complexity and signaling overhead increase exponentially
Solution Approach 1:
The patent segments the cellular network into multiple cooperating clusters, where each cluster contains a limited number of cells (e.g., 2-7 cells) that perform coordinated scheduling. This segmentation approach reduces the computational complexity from exponential growth across all sites to manageable levels within each cluster, while still achieving significant interference reduction performance gains of 13% or more at cell edges.
2Reliability
If coordinated scheduling is implemented across many sites to reduce inter-site interference, then performance gains are achieved, but signaling overhead increases exponentially
Solution Approach 1:
By segmenting the network into small cooperating clusters, the patent reduces signaling overhead to only those cells within each cluster. The X2 interface signaling is limited to cluster members rather than all sites in the network, dramatically reducing the exponential growth of signaling overhead while maintaining performance benefits through coordinated scheduling within clusters.
3Reliability
If the entire cellular communications system is coordinated for global optimization, then performance is optimized on complete network level, but complexity increases exponentially making it unrealistic
Solution Approach 1:
The patent divides the entire cellular communications system into multiple independent cooperating clusters, each performing coordinated scheduling locally. This segmentation transforms the unrealistic problem of coordinating all cells globally into manageable local coordination problems within clusters of 2-7 cells, reducing complexity from exponential to practical levels while achieving 13% or more performance gains at cell edges.
4Ease of operation
If traditional coordinated scheduling is implemented without considering backhaul capacity limitations, then coordination decisions can be made freely, but implementation becomes difficult or impossible in practical deployments
Solution Approach 1:
The patent changes the parameter of cluster size to be small (2-7 cells) and optimizes cluster formation based on backhaul capacity and delay characteristics. By adjusting these parameters, the system achieves coordinated scheduling that is both flexible in operation and implementable in practical deployments with limited backhaul resources, avoiding the intractability of large-scale coordination.
Data Source
AI summary
There are provided mechanisms for establishing a cooperating cluster (6a) in a cellular communications system (la-Id). According to one aspect a request for establishing a cooperating cluster (6a) to a second network node (2b) is transmitted from a first network node (2a). The cooperating cluster (6a) comprises at least one cell (3b, 3f) of the first network node (2a) and at least one cell (3g) of the second network node (2b). The request comprises a metric and identification of the cells to be clustered. An acceptance is by the first network node (2a) received (S104) from the second network node (2b) to implement operation of the cooperating cluster (6a).