Radio Resource Pooling for Wireless Device Clustering
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Solution Overview
Problem
In wireless communication networks, the increasing number of devices competing for time slots and bandwidth leads to contention, resulting in a less desirable user experience due to inefficient resource allocation and potential battery life issues in devices acting as intermediaries for other devices.
Innovation Solution
A system that clusters communication devices into groups, with a resource manager component selecting a host device based on predictive performance and power availability to facilitate efficient communication, using techniques like round-robin scheduling to distribute the burden equitably among devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If individual communication devices compete for time slots and bandwidth in a packet scheduler, then resource allocation is performed, but contention increases and user experience deteriorates
Solution Approach 1:
Multiple communication devices are merged into a cluster where they share a common host device. The host device aggregates their communication needs and interacts with the packet scheduler as a single entity, reducing contention while maintaining resource allocation efficiency.
Solution Approach 2:
A host device is introduced as an intermediary between clustered communication devices and the packet scheduler. The host device manages resource allocation for all cluster members, reducing direct contention between individual devices while maintaining efficient resource utilization.
2Reliability
If more communication devices are clustered together to reduce contention, then user experience improves, but battery life of host device may be depleted
Solution Approach 1:
The system implements periodic rotation of host device roles among cluster members. Each device serves as host for a limited time period, distributing the energy burden across all cluster members rather than depleting a single device's battery.
Solution Approach 2:
The host device selection is dynamic rather than static. The system can rotate host roles based on battery status, signal quality, and other performance metrics, allowing the cluster to adapt to changing conditions and distribute energy consumption equitably.
3Productivity
If a single host device serves all cluster members, then resource allocation efficiency improves, but device complexity increases
Solution Approach 1:
The host device's management functions are segmented and distributed back to individual cluster members. Each device handles its own local resource management while the host coordinates with the packet scheduler, reducing the functional burden on any single device.
Data Source
AI summary
User equipments (UEs) can be efficiently clustered into groups of UEs where a UE of a group can be selected as a host UE to communicate with a radio access network (RAN) on behalf of other UEs in the group. A resource manager component can receive information, including predictive information of predicted future UE performance or characteristics, relating to respective power availability, signal strength, data performance, and transit vectors of respective UEs from UEs in an area, and determine which UEs are to be clustered in a group and which UE(s) of the group is to be a host UE(s) for the group based on such information. The host UE can facilitate communications between the other UEs in the group and the RAN. The resource manager component also can employ a round-robin technique for substantially equal sharing of duties as host UE among multiple UEs of the group.