SOURCE-LINKED INTELLIGENCE
V2X Cell Free massive MIMO Networks with Active RIS: From Analytical Optimization to Federated Machine Learning
V2X Cell Free massive MIMO Networks with Active RIS: From Analytical Optimization to Federated Machine Learning The reconfigurable intelligent surfaces (RIS), cell-free (CF) massive multiple-input multiple-output (mMIMO), and vehicle-to-everything (V2X) are key technologies for next-generation wireless communication, i.e., beyond 5G and 6G. The CF mMIMO involves deploying many APs in a large geographical area to jointly serve all users. V2X allows vehicle user equipment (VUEs) to communicate with base stations, pedestrians, and other vehicles. The high mobility of VUEs leads to frequent handovers and channel ageing. This makes the CF mMIMO ideal for V2X since handovers are eliminated. To reduce the impact of channel ageing, more APs must be deployed which increases the power consumption. The RIS comprises many passive reflecting elements (REs), which can independently induce phase and amplitude change, with marginal power needs. Thus, the RIS can improve the spectral/energy effici
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 211754.88
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.