MIMO Training Sequence Segmentation for Source Identification

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Solution Overview

Problem

Current UTRA TDD systems are not designed to support MIMO transmissions, leading to limitations in channel estimation and source identification, which restricts the capacity and flexibility of cellular communication systems.

Innovation Solution

A MIMO transmitter with a plurality of antennas, where training sequences are selected from disjoint subsets associated with each antenna, allowing unique identification of the source antenna and improved channel estimation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a single base code is used for all transmissions from a given base station, then device complexity is reduced, but source identification capability deteriorates

Engineering Contradiction:

Improvecomplexity of training sequence managementVSAvoidsource identification capability

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The set of training sequences is segmented into disjoint subsets, with each subset assigned to a specific antenna. This segmentation allows the receiver to identify which antenna transmitted the signal by determining which subset the training sequence belongs to, thereby resolving the contradiction between using a single base code and achieving source identification.

Inventive Principle:

Principle #1Segmentation

2Ease of operation

If the same training sequence is used for all antennas, then ease of operation is improved, but channel estimation accuracy deteriorates

Engineering Contradiction:

Improvesimplicity of training sequence selectionVSAvoidchannel estimation accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

Different training sequences are assigned to different antennas, creating local differentiation. Each antenna uses training sequences from its own disjoint subset, allowing the receiver to perform accurate channel estimation for each antenna independently while maintaining operational simplicity through the structured assignment.

Inventive Principle:

Principle #3Local quality

3Device complexity

If training sequences are not differentiated by antenna, then device complexity is reduced, but system capacity deteriorates

Engineering Contradiction:

Improvecomplexity of training sequence managementVSAvoidsystem capacity

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The training sequences are segmented into antenna-specific disjoint subsets. This segmentation enables the system to support multiple antennas with differentiated training sequences, thereby increasing system capacity for MIMO transmissions while keeping the management complexity manageable through the organized subset structure.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS8045599B2Selection of training sequences for multiple-in multiple-out transmissions

Publication Date: 2011.10.25 SISVEL INT

AI summary

A cellular communication system comprises a Multiple-In Multiple-Out, MIMO, transmitter (101) and receiver (103). The MIMO transmitter (101) comprises a message generator (303) for generating MIMO messages comprising selected training sequences and transceivers (305, 307, 309) transmitting the messages on a plurality of antennas (311, 313, 315). The training sequences are selected by a midamble selector (317) from a set of training sequences in response to an associated antenna on which the message is to be transmitted. The set of training sequences is associated with the cell of the MIMO transmitter and comprises disjoint subsets of training sequences for each of the plurality of antennas. The receiver (103) comprises a transmit antenna detector (419) which determines which antenna of the MIMO transmitter the message is transmitted from in response to the training sequence of the received message.