Multidimensional wave and space - level optimization for energy efficient communications and sensing (MULTIPLY-6G)
Partner6G envisions unprecedented requirements for immersive, hyper-reliable, ubiquitous and low-latency connectivity together with dynamic sensing and AI-native capabilities across diverse and complex propagation environments. However, traditional waveforms and signal processing methods struggle to meet these requirements, especially under high mobility, interference, scalability and energy efficiency constraints. Furthermore, exploitation of MIMO (multiple input, multiple output) antenna technologies such as extremely large antenna arrays causes energy consumption bottlenecks as the number of RF chains scales-up. Hence, significant new innovations in signal and waveform design/processing, will be needed to meet the ambitious sustainability, performance, and standardization and backward compatibility goals of 6G. To address these challenges, a new pan-European consortium has been established to put forth this proposal, bringing together leading experts from a range of complementary disciplines, including RF and analogue circuit design, antenna systems, multidimensional signal processing, machine learning, and communication networks. MULTIPLY-6G aims to develop advanced multidimensional waveform technologies, low-complexity extreme large arrays, and advanced spectrum sharing techniques, in an Open RAN (O-RAN) framework. This approach could unlock unprecedented levels of area spectral efficiency, energy efficiency and communication link reliability for wireless networks beyond 5G. It explores a revolutionary approach towards multi-dimensional waveform processing/design, by channel representation in delay, Doppler, and wavenumber domains, ensuring compatibility with standard wireless protocols. ,
- EC contribution:
- EUR 394k
- Start:
- 2026-06-01
- End:
- 2029-05-31
- Status:
- SIGNED
- Scheme:
- HORIZON-JU-RIA
- Call:
- HORIZON-JU-SNS-2025-01