Cluster-Based Collaborative Transmission for Wireless Capacity
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Solution Overview
Problem
Current wireless communication systems face challenges in increasing capacity and improving user experience while reducing infrastructure costs, particularly due to limited backhaul capacity and high costs associated with base station expansion.
Innovation Solution
A cluster-based collaborative transmission method using rateless MDS codes, where helper nodes distribute data codes to user equipment (UE) based on popularity, allowing efficient caching and multiple access to enhance spectrum usage and reduce traffic congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If base station infrastructure is expanded to increase network capacity, then network capacity is improved, but infrastructure construction cost increases
Solution Approach 1:
The patent creates virtual copies of base station functionality by deploying software-defined network functions on commodity hardware platforms. This allows multiple virtual base stations to be instantiated from a single physical infrastructure, increasing network capacity without proportional increases in physical infrastructure costs.
Solution Approach 2:
The patent designs a universal network platform that can perform multiple functions including base station operations, network slicing, and service management. This multi-functional approach allows existing infrastructure to serve multiple purposes, reducing the need for dedicated infrastructure for each function and lowering overall construction costs.
2Reliability
If more base stations are deployed to improve service availability, then service availability is improved, but infrastructure construction cost increases
Solution Approach 1:
The patent implements self-organizing network capabilities where base stations automatically configure themselves, perform fault detection and isolation, and recover from failures without human intervention. This self-service approach improves service availability by enabling rapid automatic recovery while reducing the operational overhead and infrastructure costs associated with manual management.
Solution Approach 2:
The patent employs predictive maintenance and proactive fault management by analyzing network data to identify potential failures before they occur. This allows preemptive actions to be taken, such as switching to backup systems or scheduling maintenance during low-traffic periods, thereby maintaining high service availability without requiring excessive redundant infrastructure.
3Stability of the object's composition
If traditional network architecture is used to ensure system stability, then system stability is maintained, but adaptability to new services decreases
Solution Approach 1:
The patent segments the network architecture into independent functional modules that can be individually updated and managed. This modular approach maintains system stability by isolating changes to specific modules while allowing rapid adaptation to new services through the addition or modification of individual modules without affecting the entire system.
Solution Approach 2:
The patent implements dynamic network slicing capabilities that allow the network to adapt its resource allocation and architecture in real-time based on service requirements. This dynamic approach enables the network to maintain stability for existing services while simultaneously adapting to accommodate new services with different performance requirements.
Data Source
AI summary
The present application discloses a method for receiving, by a terminal, data in a wireless communication system. Specifically, the method for receiving data comprises the steps of: receiving a first division code from a first helper node in a first time unit; overhearing a second division code transmitted from a second helper node to another terminal in a second time unit; and acquiring the data by using the first division code and the second division code.