Distributed Multi-Antenna Systems Using 1-bit Radio-over-Fiber
Doctoral thesis, 2025

Distributed multiple-input multiple-output (D-MIMO) is a promising approach to improve the wireless mobile network coverage and meet increasing capacity demands. Its foundation builds upon the ability to cooperatively utilize spatially distributed radio access nodes to exploit macro diversity. However, in order to implement spatial multiplexing, precise phase coherence at carrier frequency is required across all cooperating radio nodes. This poses a challenging implementation problem, since a radio typically uses a local oscillator to generate the carrier frequency, and each local oscillator is associated with a frequency offset and phase noise. In this thesis, we propose a D-MIMO architecture that eliminates local oscillators at the radio heads altogether, and implements instead digital frequency up- and down-conversion in a central processing unit, such that the radio frequency signals are phase-synchronized at the remote radio heads. This architecture relies on fiber-optic fronthaul, over which 1-bit signals are transferred.

First, we introduce a D-MIMO transceiver architecture that employs 1-bit quantization to reduce power consumption and facilitate efficient fiber-optic fronthaul. Phase-coherence is demonstrated in a wireless multi-user measurement implementing reciprocity-based precoding. Second, since this architecture relies on significant oversampling to battle the distortion introduced by the 1-bit converters, we investigate the tradeoff between oversampling in the spatial or temporal domain, when the total fronthaul rate is constrained. This sheds light on the minimum fronthaul rate required in a certain deployment for our D-MIMO architecture to outperform standard co-located MIMO architecture. Third, we present a testbed that we use to investigate the receiver architecture effects on multi-user scenarios. We find that our architecture shows greater uplink sensitivity to multi-user interference than a conventional receiver, and that user power control can mitigate this sensitivity.

1-bit converter

D-MIMO

Radio-over-Fiber

ED-salen, Hörsalsvägen 11
Opponent: George Goussetis, Heriot-Watt University, Edinburgh, Scotland

Author

Lise Aabel

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

A TDD Distributed MIMO Testbed Using a 1-bit Radio-Over-Fiber Fronthaul Architecture

IEEE Transactions on Microwave Theory and Techniques,;Vol. 72(2024)p. 6140-6152

Journal article

EVM Analysis of Distributed Massive MIMO with 1-Bit Radio-Over-Fiber Fronthaul

IEEE Transactions on Communications,;Vol. 72(2024)p. 7342-7356

Journal article

Lise Aabel, Giuseppe Durisi, Mikael Coldrey, Frida Olofsson, Chris- tian Fager, “Insights on the Uplink Operation of a 1-bit Radio-over-Fiber Architecture in Multi-User D-MIMO Communication”.

Wireless communication has revolutionized how we live and communicate. From the phone in your pocket to the watch on your wrist, your laptop, and even your car, all rely on wireless networks. As the number of connected devices increases rapidly, so does the demand on these networks.
To keep up, new technologies must lead the way. The work presented in this thesis focuses on a new wireless network architecture, involving distributed antennas that work cooperatively as one system. This enables a seamless experience by the users. However, this technology relies on fiber-optic cables to transfer 1-bit signals to and from the antennas. This design choice makes the system both scalable and cheap, but requires that the wireless signals are quantized with 1-bit resolution. Such coarse quantization infers a large signal distortion that must be dealt with. To balance the system complexity and the signal distortion, careful quantization methods are therefore employed in our system. We detail and analyze this novel wireless system architecture---from the hardware components that are required to build it, to it's performance in real-world communication scenarios. We also investigate through theoretical analysis the optimal system deployment considering limitations imposed by the 1-bit signal rate over the fiber-optic cables.

Areas of Advance

Information and Communication Technology

Infrastructure

Kollberg Laboratory

Subject Categories (SSIF 2025)

Communication Systems

Telecommunications

Signal Processing

ISBN

978-91-8103-277-2

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5735

Publisher

Chalmers

ED-salen, Hörsalsvägen 11

Opponent: George Goussetis, Heriot-Watt University, Edinburgh, Scotland

More information

Latest update

9/9/2025 1