Distributed Antenna Transceiver Set Selection

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Solution Overview

Problem

Distributed antenna systems face challenges in optimizing transceiver set selection and communication schemes to enhance signal quality and throughput, particularly in coordinating multiple-input and multiple-output (MIMO) transmissions across geographically distributed antennas.

Innovation Solution

A method is introduced where a base station and remote transceivers are assigned to sets, with each set transmitting distinguishable channel reference signals, and signal quality feedback from endpoints is used to select the optimal set for data traffic transmission, allowing dynamic adjustment of operating characteristics such as coverage and throughput.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If multiple remote transceivers transmit the same core data, then signal coverage is improved, but signal quality consistency deteriorates

Engineering Contradiction:
Improvesignal coverage areaVSAvoidsignal quality consistency
Core Design Contradiction:
Area of stationary objectVSReliability

Solution Approach 1:

The system segments the transmission function by assigning different transceiver sets (first set with base station, second set with base station and remote transceiver) to handle different data traffic requirements. This segmentation allows the system to provide both wide coverage through multiple transceivers and consistent signal quality by selecting appropriate transceiver sets based on endpoint location and channel conditions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically selects between different transceiver sets based on real-time signal quality feedback from endpoints. The base station adjusts which transceiver set serves which endpoint, transitioning between static and dynamic transmission configurations to optimize both coverage area and signal quality consistency under varying channel conditions.

Inventive Principle:
Principle #15Dynamics

2Productivity

If downlink coordinated multi-point processing is implemented across multiple locations, then throughput is improved, but system complexity increases

Engineering Contradiction:
Improvedata transmission throughputVSAvoidcoordinated transmission system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The coordinated multi-point transmission system is segmented into distinct transceiver sets with defined roles. The first transceiver set handles certain data traffic while the second transceiver set handles other traffic, reducing the coordination overhead compared to fully coupled CoMP while maintaining throughput benefits through selective multi-point transmission.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The base station acts as an intermediary that manages the complexity of coordinated transmission by making centralized decisions about which transceiver set serves which endpoint based on feedback information. This intermediary approach simplifies the overall system complexity compared to distributed autonomous coordination while enabling multi-point processing benefits.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If transceiver sets are dynamically selected based on signal quality feedback, then adaptability is improved, but measurement and detection difficulty increases

Engineering Contradiction:
Improvetransceiver set selection adaptabilityVSAvoidchannel reference signal quality measurement
Core Design Contradiction:
Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system performs preliminary actions by having transceiver sets transmit channel reference signals before actual data transmission. Endpoints measure these reference signals in advance to provide feedback, enabling the base station to pre-determine the optimal transceiver set for upcoming data traffic, thus simplifying the measurement process while maintaining high adaptability.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements a feedback mechanism where endpoints measure channel reference signals from different transceiver sets and report signal quality information back to the base station. This feedback enables automatic adaptation of transceiver set selection without requiring complex real-time measurements during data transmission, reducing measurement difficulty while maintaining adaptability.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS8909295B2Transceiver set selection and communication scheme for a distributed antenna system
Publication Date: 2014.12.09 LENOVO (SINGAPORE) PTE LTD
  • US8909295B2 patent drawing
  • US8909295B2 patent drawing
  • US8909295B2 patent drawing

AI summary

According to one embodiment, a method includes establishing a plurality of wired connections between a plurality of nodes. The plurality of nodes include a base station and a plurality of geographically distributed remote transceivers. The base station is assigned to a first set and the base station and a first remote transceiver of the plurality of remote transceivers are assigned to a second set. Each set is configured to wirelessly transmit a respective channel reference signal. Signal quality feedback that indicates the strength of the respective channel reference signals is received from an endpoint. One of the sets is selected to use for transmitting data traffic from the base station to the endpoint based on the signal quality feedback. The method further includes transmitting data traffic from the base station to the endpoint using at least one wireless connection between the endpoint and each node of the selected set.