Transceiver-Integrated BD-RIS: Wave-Domain Signal Processing for Sustainable and Inclusive 6G
Journal article, 2026

The shift toward sixth-generation (6G) wireless communications demands transceiver architectures that simultaneously support high-data-rate communications, pervasive sensing, and sub-meter-level localization. Beyond these performance targets, 6G systems are also expected to align with long-term societal goals, including sustainability and inclusiveness. Conventional radio designs, however, remain heavily reliant on digital baseband processing, whose cost, power consumption, and computational complexity scale unfavorably with increasing array size and carrier frequency, making them poorly aligned with these emerging requirements. Beyond-diagonal reconfigurable intelligent surfaces (BD-RISs) introduce a new paradigm by enabling direct manipulation of electromagnetic waves in the analog domain. This article presents BD-RIS as a wave-domain analog procesisng unit embedded within the transceiver aperture. By migrating linear signal processing functions from the digital baseband to the wave domain, BD-RISs significantly reduce computational load and energy consumption, enabling scalable and sustainable operation for extra-large antenna array systems. Owing to their ability to jointly provide high operational flexibility, modularity, and energy-efficient analog processing, transceiver-integrated BD-RISs offer a compelling architectural trade-off and emerge as a strong candidate for next-generation wireless transceivers.

Author

Mahmoud Raeisi

Istanbul Medipol Universitesi

Ayoub Ammar Boudjelal

Istanbul Medipol Universitesi

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Ertugrul Basar

Koç University

Huseyin Arslan

Istanbul Medipol Universitesi

IEEE Wireless Communications

1536-1284 (ISSN) 15580687 (eISSN)

Vol. In Press

Subject Categories (SSIF 2025)

Other Electrical Engineering, Electronic Engineering, Information Engineering

Telecommunications

Signal Processing

DOI

10.1109/MWC.2026.3703393

More information

Latest update

7/13/2026