Network Overlay Partitioning for CRAN Joint Processing

The patent divides the large hyper-cell into multiple smaller cell clusters, where each cluster performs joint processing independently. This segmentation reduces the computational complexity at each processing node while maintaining the throughput benefits of joint processing through coordinated scheduling across clusters.

The network is segmented into multiple cell clusters that can be independently managed. Each cluster handles its own joint processing overhead locally, reducing the overall processing overhead while maintaining coverage through coordinated operation across clusters.

By dividing the large hyper-cell into smaller cell clusters, the patent reduces the physical distance and timing jitter between transmission points within each cluster. This makes inter-TP synchronization feasible and reliable while still providing joint transmission benefits through coordinated scheduling across multiple clusters.

The patent segments the large number of UEs into different cell clusters, with each cluster performing joint scheduling for its subset of UEs. This reduces the computational cost at each processing node from O(N^2) to O((N/k)^2) where k is the number of clusters, while still serving all UEs through coordinated scheduling across clusters.

The patent segments the network into multiple cell clusters that can be scheduled independently. This spatial segmentation allows for reduced intercell interference through coordinated scheduling, where clusters can be activated in different time or frequency resources, while still achieving throughput improvement through joint processing within each cluster.