Multi-Antenna Backhaul Mapping for Remote Connectivity
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Solution Overview
Problem
Existing technologies face challenges in enhancing connectivity in remote locations, where backhaul connections often have varying signal strengths and performance parameters, leading to inefficient data packet transmission.
Innovation Solution
The system employs multiple antennas to manage multiple backhaul connections, mapping each backhaul to a network slice with distinct link performance parameters. Data packets are evaluated to identify the optimal network slice and backhaul for transmission, and antennas are adjusted accordingly to optimize signal transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple backhaul connections are established in remote locations, then connectivity reliability is improved, but system complexity increases due to managing multiple antennas and network slices
Solution Approach 1:
The system segments the backhaul connection management by dividing it into multiple network slices, each handling specific traffic types or quality requirements. This allows independent optimization of each slice while managing overall complexity through modular organization of antenna resources and connection parameters.
Solution Approach 2:
The antenna system is designed with multi-functionality to handle multiple backhaul connections simultaneously, where a single antenna array can serve multiple network slices and different remote locations. This universal design reduces the need for dedicated hardware for each connection, thereby managing complexity while maintaining reliability.
2Productivity
If data packets are evaluated and routed through optimal network slices, then transmission efficiency is improved, but processing time increases due to packet evaluation and mapping operations
Solution Approach 1:
The system performs preliminary actions by pre-establishing network slices and pre-mapping backhaul connections to appropriate slices based on traffic characteristics. This preparation work is done in advance so that when data packets arrive, routing decisions can be made quickly by matching packet requirements against pre-configured slices, reducing real-time processing time while maintaining high transmission efficiency.
3Reliability
If antennas are adjusted to optimize signal transmission, then signal strength is improved, but energy consumption increases due to active antenna management
Solution Approach 1:
The antenna system implements dynamic adjustment capabilities where antenna configurations are optimized in real-time based on current signal conditions, traffic requirements, and energy availability. This dynamic approach allows the system to adapt antenna beam directions, gains, and activation states to maintain optimal signal strength while minimizing energy consumption by adjusting only when necessary and deactivating antennas during low-traffic periods.
Data Source
AI summary
The technology disclosed herein relates to enhancing connectivity in remote locations. In embodiments, methods, systems, and computer storage media can map each of a plurality of backhauls (e.g., associated with multiple radio frequency front ends) to at least one network slice, wherein each network slice has a different link performance parameter. As one example, this mapping can provide for Time Division Duplex and Frequency Division Duplex multi-frequency, multi-layer carrier aggregation across various frequency bands (e.g., in the uplink direction). For example, various multiple link mapping (e.g., Internet Protocol layer mapping) and software functionality for transmitting particular data packets via the particular network slice based on the mapping are described herein.