Pilot Data Timing in Massive MIMO Networks
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Solution Overview
Problem
In massive MIMO network communications, the limited coherence time of pilot signals leads to frequent transmission requirements, making it challenging to maintain accurate channel calibration and antenna configuration, especially with UE mobility, which affects data transmission reliability and latency in 5G NR systems.
Innovation Solution
A system and method for determining timing relationships of pilot and data transmissions, where the base station receives an uplink pilot, calculates channel coherence time, and determines total transmission duration based on this time, allowing for efficient antenna configuration and data decoding, even with UE mobility, by using Downlink Control Information and offset times to optimize DL and UL transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the pilot signal is transmitted frequently to maintain channel calibration accuracy, then the channel calibration accuracy is improved, but the transmission overhead and latency increase
Solution Approach 1:
The patent applies preliminary action by determining the channel coherence time in advance before data transmission begins. The base station calculates the coherence time based on channel conditions and uses this pre-determined value to plan the entire transmission sequence, including positioning pilot signals and data transmissions. This allows the system to optimize the transmission schedule proactively rather than reactively, reducing latency while maintaining calibration accuracy.
Solution Approach 2:
The patent implements dynamics by making the pilot signal transmission frequency adaptive rather than fixed. The system dynamically adjusts the number and positioning of pilot signals based on the calculated channel coherence time. When coherence time is short (indicating rapid channel changes), more frequent pilot transmissions are scheduled. When coherence time is long, fewer pilots are needed. This dynamic adaptation resolves the contradiction by matching pilot frequency to actual channel conditions.
2Adaptability or versatility
If the pilot signal transmission frequency is increased to adapt to UE mobility, then the adaptability to mobility is improved, but the transmission overhead increases
Solution Approach 1:
The patent applies parameter changes by using the channel coherence time as a key parameter that determines pilot transmission frequency. The base station calculates coherence time based on channel conditions influenced by UE mobility, and this calculated parameter directly controls how many pilot signals are transmitted and at what intervals. This parameter-driven approach allows the system to adapt to mobility conditions efficiently, transmitting pilots only as frequently as necessary rather than at a fixed high rate.
Solution Approach 2:
The system implements self-service by having the channel coherence time determination automatically inform the transmission scheduling decisions. The base station uses the determined coherence time to self-adjust the pilot and data transmission plan without external intervention. This self-service mechanism ensures the system adapts to UE mobility conditions while minimizing overhead, as the scheduling is driven by actual channel characteristics rather than conservative fixed parameters.
3Duration of action of moving object
If the total transmission duration is extended to complete data transmission, then the data transmission completeness is improved, but the channel coherence may be lost
Solution Approach 1:
The patent applies preliminary action by determining the channel coherence time before scheduling the transmission. The base station calculates how long the channel will remain coherent and uses this information to plan the entire transmission sequence in advance. This allows the system to fit complete data transmissions within the coherent window when possible, or to insert additional pilot signals at optimally calculated positions, ensuring both completeness and coherence.
Solution Approach 2:
The system implements feedback by using the determined channel coherence time to continuously optimize transmission scheduling. The coherence time measurement provides feedback about channel stability, which then informs decisions about transmission duration and pilot placement. This feedback loop ensures that transmissions are configured to match actual channel conditions, maintaining coherence while completing data transmission.
Data Source
AI summary
The invention is directed to systems, methods, and computer program products for determining timing relationships of pilot and data in mobile network communications. Specifically, an uplink (UL) transmission is received at a base station (BS) from a user equipment (UE) in network communication with the BS via a communication channel. Based on the UL transmission, a channel coherence time is determined indicating a period of time during which the communication channel is considered to be substantially unchanged. In response, a total transmission duration is determined based on the channel coherence time indicating a period of time associated with transmission of a data frame.