Beam Allocation Algorithm for Millimeter-Wave Full-Duplex Networks
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Solution Overview
Problem
Millimeter-wave full-duplex communication systems face challenges in uplink communication due to inter-user interference and self-interference, which affect throughput, and existing technologies fail to optimize beamforming resources effectively, limiting the potential of mm-wave communications.
Innovation Solution
A method and system for allocating mm-wave full-duplex communication network resources using an algorithm that initializes network parameters, collects queue and channel status information, assigns beams based on a beam-closed manner, and employs rate control to optimize resource allocation, ensuring all user equipment is assigned to a beam, thereby addressing interference and improving quality of experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mm-wave full duplex communication is implemented to double spectrum efficiency, then spectrum efficiency is improved, but uplink communication performance deteriorates due to inter-user interference and self-interference
Solution Approach 1:
The system segments the uplink communication resources by assigning different beams to different user equipment. The base station divides the coverage area into multiple beam directions, and each user equipment is assigned to a specific beam, thereby separating interfering signals in the spatial domain and reducing inter-user interference while maintaining full duplex operation.
2Productivity
If beamforming resources are not properly utilized, then directional beamforming cannot alleviate pathloss, but the potential of mm-wave band remains unexploited
Solution Approach 1:
The system performs preliminary beam assignment by establishing beam-closed loops between the base station and user equipment before data transmission. This preliminary action of assigning beams to users and configuring beamforming weights in advance enables the system to effectively exploit mm-wave directional communication potential while simplifying real-time resource management.
3Productivity
If multiple user equipment are assigned to the same beam, then beam allocation efficiency is improved, but interference management becomes more difficult
Solution Approach 1:
The system applies local quality by assigning user equipment to beams based on their specific channel conditions and locations. Each beam is optimized for its specific directional channel characteristics, and users are assigned to beams where they experience favorable channel conditions. This localized optimization reduces interference energy while maintaining efficient beam allocation.
Data Source
AI summary
A method for allocating communication network resources assigns beam to multiple items of user equipment based on beam-closed manner, and allocates the beam to the item of user equipment with the smallest value if more than one item of the user equipment is assigned to the same beam Then, the method uses a rate control to the multiple items of user equipment according to rate closure manner, and determines whether all items of user equipment is assigned to the beam. Hence, the beam is emitted by the base station and the direction of the user ability align for efficient data transfer.