Massive MIMO Joint Processing with RU Beam Compression
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Solution Overview
Problem
Traditional radio access networks face challenges in managing fronthaul limitations and inter-cell interference in massive MIMO systems, particularly in dense scenarios with a substantial number of antennas and users, which hinder optimal joint processing and throughput.
Innovation Solution
Implementing precoding schemes and beam compression techniques at the RU level to reduce interference and maximize throughput, while the DU performs calculations with a near-block diagonal effective channel matrix, addressing fronthaul constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If joint processing is performed across multiple RUs in massive MIMO systems, then system capacity and throughput are improved, but fronthaul limitations and inter-cell interference worsen
Solution Approach 1:
The patent segments the processing functions between RUs and DU, with RUs performing local precoding and beam compression before transmitting compressed data to the DU. This segmentation reduces fronthaul data volume while maintaining joint processing capabilities across multiple RUs, thereby improving system capacity without being constrained by fronthaul limitations.
Solution Approach 2:
The patent converts inter-cell interference into a beneficial signal by implementing joint processing that treats signals from multiple RUs as useful components. Through coordinated precoding and beam compression, the system transforms what would be interfering signals into constructive contributions to overall system capacity and throughput.
2Productivity
If precoding schemes are implemented at RU level to reduce interference, then throughput is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by implementing precoding and beam compression at the RU level before data transmission to the DU. This preliminary processing reduces interference and compresses data in advance, simplifying subsequent processing at the DU while improving overall throughput. The RUs perform complex operations locally, preventing interference before it propagates through the network.
3Productivity
If beam compression techniques are applied to address fronthaul constraints, then data transmission efficiency is improved, but processing complexity at RU increases
Solution Approach 1:
The patent applies local quality by enabling each RU to perform beam compression independently based on its local channel conditions and data characteristics. This localized processing allows each RU to optimize its own data transmission efficiency while managing its own complexity requirements, rather than requiring centralized complex processing for all RUs.
Data Source
AI summary
A distributed unit (DU) may include a transceiver configured to communicate with a plurality of radio units (RUs) that are configured to serve a plurality of user equipments (UEs). The DU may include a processor configured to determine RU precoding parameters for UEs served by a first RU set from the plurality of RUs based on estimated channel parameters for communication channels between the first RU set and at least one of interfering UEs served by other RUs from the plurality of RUs; to encode information indicating the determined precoding parameters for downlink transmissions to the first RU set and determine DU precoding parameters for downlink transmissions to the UEs served by the first RU set based on the determined RU precoding parameters; and/or precode communication signals based on the determined DU precoding parameters.