MIMO Signal Synchronization in Distributed Antenna Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Distributed antenna systems face challenges in synchronizing multiple-input/multiple-output (MIMO) signals due to varying downlink delays across different signal paths, which can lead to difficulties in simultaneous transmission of MIMO signals to terminal devices.
Innovation Solution
A method and system that determine the greatest downlink delay in a telecommunication system and configure the system to delay additional signals, ensuring they are transmitted simultaneously by either the head-end unit or remote units, thereby equalizing delays across signal paths and synchronizing MIMO signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If signals are transmitted through multiple remote units in a distributed antenna system, then wireless communication coverage is expanded, but signal synchronization becomes difficult due to varying downlink delays across different signal paths
Solution Approach 1:
The system performs preliminary delay measurement and calculation before signal transmission. The head-end unit measures downlink delays to multiple remote units and calculates the greatest delay, then uses this information to pre-configured compensation delays, ensuring all MIMO signals are transmitted simultaneously from all remote units.
Solution Approach 2:
The system changes the timing parameter of signal transmission by introducing artificial delays to compensate for varying propagation delays. By adjusting transmission time based on measured delay parameters, the system achieves simultaneous transmission of MIMO signals across all remote units despite different physical distances.
2Reliability
If the greatest downlink delay is used to synchronize signals, then simultaneous transmission is achieved, but additional signals must be deliberately delayed which increases transmission complexity
Solution Approach 1:
The head-end unit automatically performs delay measurement and calculates compensation values without external intervention. The system self-configures the transmission timing by using its own measured delay data to determine the greatest delay and compute appropriate compensation, eliminating the need for manual synchronization configuration.
Solution Approach 2:
The system uses feedback from delay measurements to adjust transmission timing. By measuring actual downlink delays and using this feedback information to calculate compensation delays, the system continuously optimizes signal synchronization across all remote units.
Data Source
AI summary
The present disclosure describes devices, systems, and methods for synchronizing multiple-input/multiple-output (“MIMO”) signals or other signals in telecommunication systems. Some aspects may involve transmitting signals between a head-end unit and remote units of a telecommunication system. A first delay of a signal path between the head-end unit and a first remote unit of the remote units may be determined to be greater than each delay of signal paths between the head-end unit and other remote units. Based on the first delay, the telecommunication system may be configured to delay transmission of additional signals such that the additional signals are simultaneously transmitted to another unit by either the head-end unit or the remote units.