Traffic Engineering Element for Uplink Coordination
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Solution Overview
Problem
Conventional joint transmission schemes, such as Co-ordinated MultiPoint transmission/reception (CoMP) for LTE and LTE-advanced systems, lose effectiveness due to backhaul network congestion, as they require high throughput speeds that are not always feasible in congested backhaul conditions.
Innovation Solution
A traffic engineering (TE) element dynamically adapts uplink transmission strategies based on real-time backhaul and wireless network conditions, coordinating data transmissions to balance traffic by determining optimal transmission rates, scheduling parameters, and resource allocation across multiple receivers and access points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If joint transmission schemes are implemented to improve transmission coverage and throughput, then service quality is improved, but backhaul network congestion worsens due to high throughput requirements
Solution Approach 1:
The system dynamically adapts transmission schemes based on real-time backhaul network conditions. The network node monitors backhaul link status and adjusts uplink transmission parameters (such as modulation and coding schemes, resource allocation) dynamically to match available backhaul capacity, preventing congestion while maintaining optimal throughput
Solution Approach 2:
The invention changes transmission parameters based on backhaul conditions by having the network node determine appropriate uplink transmission configurations and communicate them to wireless devices. This includes adjusting transmission rates, power levels, and resource block allocations to align with backhaul network capacity
2Productivity
If uplink transmission rates are increased to improve data transmission efficiency, then productivity is improved, but backhaul link capacity is exceeded causing congestion
Solution Approach 1:
The network node implements feedback mechanisms by monitoring actual backhaul link utilization and transmission performance, then using this information to adjust subsequent transmission parameter decisions. This closed-loop control enables the system to learn from past performance and optimize transmission rates to match sustained backhaul capacity
Solution Approach 2:
The system performs preliminary assessment of backhaul conditions before making transmission decisions. The network node evaluates current and predicted backhaul capacity in advance, then pre-determines appropriate transmission parameters to prevent congestion before it occurs, rather than reacting after congestion has developed
Data Source
AI summary
Embodiments of the present disclosure are directed towards a communications system and uplink transmission method which may dynamically adapt to changing conditions of the backhaul network. A traffic engineering element (TEE) is disclosed which receives a request from at least one wireless device for uplink data transmission. The TEE then determines the backhaul conditions of the backhaul network and coordinates uplink data transmissions from at least one wireless device to one or more receivers dependent on the determined backhaul conditions.