MIMO Antenna Selection via Preprocessing Matrix for ICI Reduction
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Solution Overview
Problem
MIMO systems face challenges in achieving high spectrum efficiency due to inter-channel interference (ICI) and performance limitations when the number of transmission antennas exceeds or equals the number of reception antennas, particularly with the V-BLAST technique.
Innovation Solution
A data multiplexing-based MIMO data transmission method that uses a preprocessor/multiplexer to preprocess symbols using Hadamard or Fourier matrices, selecting only one transmission antenna for data transmission, and employing Maximum Ratio Combining, Zero Forcing, or Minimum Mean Square Error techniques for accurate antenna estimation to avoid ICI and reduce processing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If V-BLAST technique simultaneously transmits independent data streams via multiple transmission antennas, then spectrum efficiency is improved, but inter-channel interference increases
Solution Approach 1:
The patent segments the transmission process by assigning different data streams to different time slots or frequency resources, allowing multiple data streams to be transmitted simultaneously through multiple antennas without causing inter-channel interference. This segmentation separates the interfering signals in the time or frequency domain.
Solution Approach 2:
The patent introduces an additional dimension (time or frequency) to separate the data streams transmitted through multiple antennas. Instead of only spatial separation, the signals are separated in the time-frequency domain, adding another dimension to the transmission space.
2Productivity
If the number of transmission antennas is increased beyond the number of reception antennas, then spatial multiplexing gain is improved, but the system becomes inoperable
Solution Approach 1:
The patent adds time or frequency dimensions to the spatial domain, creating a time-frequency-spatial multi-dimensional transmission space. This allows the system to achieve spatial multiplexing gain with more transmission antennas than reception antennas by separating signals in the time-frequency domain.
Solution Approach 2:
The patent introduces time-frequency resource allocation as an intermediary mechanism that mediates between the multiple transmission antennas and limited reception antennas, enabling the system to handle more transmission antennas by sequentially or selectively allocating time-frequency resources.
3Productivity
If multiple independent data streams are transmitted simultaneously, then data rate is improved, but signal detection complexity increases
Solution Approach 1:
The patent segments the detection process by separating signals in time or frequency before detection. Instead of detecting multiple simultaneous signals at once, the system detects segmented signals sequentially or independently, reducing detection complexity while maintaining high data rates.
Solution Approach 2:
The patent transforms the detection problem from a high-dimensional simultaneous detection task to a lower-dimensional sequential detection task by exploiting time-frequency separation. This dimensionality reduction simplifies the detection algorithm while preserving the ability to handle multiple data streams.
Data Source
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AI summary
Provided is a multiple-input multiple-output (MIMO) data transmission method. A transmitter generates a transmission symbol by adding a parity symbol to a predetermined number of data symbols, generates a preprocessed symbol by multiplying the predetermined number of transmission symbols by a preprocessing matrix in units of blocks, selects a transmission antenna associated with a non-zero transmission symbol among preprocessed transmission symbols constituting the preprocessed symbol, and transmits the preprocessed symbol via the selected transmission antenna. A receiver receives a signal transmitted from the transmitter, estimates a preprocessed symbol and a transmission antenna index from the received signal, and restores the transmission symbols using the estimated preprocessed symbol and transmission antenna index.