Centralized Data Reordering for Wireless QoS Optimization
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Solution Overview
Problem
The existing distributed Wi-Fi architecture suffers from low utilization of quality of service (QoS) resources due to the need for external CPUs and buffers on remote radio units (RRUs), leading to increased costs and power consumption, and the current data transmission processes are not adaptable to modified architectures.
Innovation Solution
Shift the external buffer and CPU resources from RRUs to a central device, allowing RRUs to perform partial QoS functions and enabling the central device to handle reordering and encapsulation of data packets, thereby optimizing QoS resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If external CPU and buffer are disposed outside each RRU to reduce chip costs, then chip costs are reduced, but QoS resource utilization becomes low and architecture complexity increases
Solution Approach 1:
The patent extracts the buffer function from the RRU chip and places it in the external memory system, separating the buffering function from the processing unit. This reduces chip complexity and cost while maintaining the ability to handle QoS requirements through external resource management.
Solution Approach 2:
The patent implements a unified external buffer shared by multiple RRUs, allowing the same buffer resources to be utilized by different RRUs based on demand. This multi-functional approach improves QoS resource utilization while reducing the need for dedicated buffers at each RRU.
2Reliability
If maximum buffer capability is designed in each RRU to ensure buffering of data when connected to maximum quantity of users, then data buffering capability is ensured, but buffer cost and power consumption increase
Solution Approach 1:
The patent merges the buffer resources of multiple RRUs into a shared external buffer pool. Instead of each RRU having its own maximum buffer capability, the buffers are combined and dynamically allocated, reducing total buffer capacity requirements while ensuring adequate buffering when maximum users are connected across the system.
Solution Approach 2:
The patent implements dynamic buffer allocation where the buffer capacity assigned to each RRU changes based on the actual number of connected users and traffic demands. This dynamic adjustment ensures sufficient buffering capability is available when needed while reducing buffer capacity (and associated costs and power consumption) during normal operation.
3Ease of manufacture
If QoS resources are reduced to save costs, then architecture costs are reduced, but data transmission reliability may be affected
Solution Approach 1:
The patent introduces a buffer management unit as an intermediary between the RRUs and the external buffer. This mediator optimizes buffer allocation and data transmission scheduling, ensuring reliable data transmission even with reduced QoS resources by efficiently managing the available buffer capacity and coordinating transmissions across multiple RRUs.
Data Source
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AI summary
This application provides a data transmission method, a device, and a wireless network system. The method is applied to a wireless network, the wireless network includes a central device and at least one remote device, and the method includes: receiving, by the central device, at least one first data packet sent by a first remote device in the at least one remote device, where the first data packet includes sequence number information, and the sequence number information is used to indicate a relative location that is of a payload in the first data packet and that is in a to-be-transmitted second data packet; reordering, by the central device, the at least one first data packet based on the sequence number information, to obtain the second data packet; and sending, by the central device, the second data packet. According to the method in embodiments of this application, a data packet sent by the remote device to the central device carries sequence number information, so that at least a part of reordering is performed on the central device. In this way, QoS resources can be shifted up to the central device on the premise that uplink data transmission is ensured, thereby saving QoS resources and reducing architecture costs.