Decorative Element

Technology

Technology

Technology

LiquidRAN™: Built for Intelligence and Resilience

Our patented LiquidRAN™ architecture leverages disaggregation and AI-native control to deliver unmatched flexibility, survivability, and compute efficiency. Designed to operate even in degraded or mobile environments, it can recover from node destruction in under one second, ensuring continuous C2, ISR, and data flows.

LiquidRAN™ technology is based on two pillars:

  • A “liquid” form of network functions allowing effective use of physical communication resources such as spectrum and compute, combined with

  • AI/ML algorithms for network adaptation.

TCO savings

In contrast to all contemporary systems, LiquidRAN adapts to available resources and utilizes them without waste. As a consequence, it requires smaller amounts of resources to handle the required traffic, which leads to cost savings. Moreover, it is possible to deploy the network on any type of underlying hardware (chipsets, servers, EDGE, cloud), including existing infrastructure already familiar to the customer.

Extreme resilience

In case of resource unavailability caused by traffic outage or cyberattack, LiquidRAN network functionality can be easily relocated elsewhere. This enables replication of destroyed nodes, resulting in extreme battlefield resilience.

Value chain sovereignty

Built entirely in NATO territory and free from vendor lock-in, it sets a new benchmark for secure, high-performance, mission-ready communications.

Research

Research

Research

Explore research projects

Explore research projects

IS-Wireless is actively participating in several R&I projects funded by the European Commission as well as the national programs in Poland and the Netherlands. The collaborative research projects focus on 5G and beyond.

IS-Wireless is actively participating in several R&I projects funded by the European Commission as well as the national programs in Poland and the Netherlands. The collaborative research projects focus on 5G and beyond.

Scientific Papers

Scientific Papers

Title

Date

A. Kostopoulos et al., "Experimentation Scenarios for Machine Learning-Based Resource Management. In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds) Artificial Intelligence Applications and Innovations." AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology, vol 652. Springer, Cham

July 3, 2025

Open

S. ARNAOUT, A. RAHMAN S. HAUSMAN, M. MOWLA, P. KORBEL, "Greedy Graph Coloring and Hungarian Algorithms for Resource Scheduling in TWDM-PON", IEEE Access, 2024

December 11, 2024

Open

S. Rommel, P. Kulesza, A. Flizikowski, A. Kumar, M. M. Mowla, S. Ahearne, B. Cimoli, and I. T. Monro , “5G Demonstration on an EMDC with ML-Enabled Scaling and QKD-Secured Connectivity,” in IEEE Globecom, Cape Town, South Africa

December 8, 2024

Open

S. Arnaout, M. A. Rahman, M. M. Mowla, S. Hausman and P. Korbel, "Dynamic Resource Allocation for Converged Optical and Radio Architecture in 6G Networks," 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Madrid, Spain, 2024, pp. 329-334

July 8, 2024

Open

A. Girycki, M. A. Rahman, A. P. Guevara and S. Pollin, "Beamforming and Functional Split Selection for Scalable Cell-free mMIMO Networks," 2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Antwerp, Belgium, 2024, pp. 1-6

June 3, 2024

Open

A. Girycki, M. A. Rahman and S. Pollin, "DQN and Heuristic Precoding-aware Scheduling in Cell-free mMIMO Networks," 2024 IEEE Wireless Communications and Networking Conference (WCNC), Dubai, United Arab Emirates, 2024

April 21, 2024

Open

A. Girycki, M. A. Rahman, E. Vinogradov and S. Pollin, "Learning-Based Precoding-Aware Radio Resource Scheduling for Cell-Free mMIMO Networks," in IEEE Transactions on Wireless Communications, vol. 23, no. 5, pp. 4876-4888, May 2024

October 17, 2023

Open

H-J. Damsgaard, A. Ometov, M. Mowla, A. Flizikowski, J. Nurmi. "Approximate computing in B5G and 6G wireless systems: A survey and future outlook." Computer Networks (2023): 109872

September 1, 2023

Open

F. Kooshki, M. A. Rahman, M. M. Mowla, A. G. Armada and A. Flizikowski, "Efficient Radio Resource Management for Future 6G Mobile Networks: A Cell-less Approach," in IEEE Networking Letters, 2023

April 3, 2023

Open

A. Kostopoulos et al., "Experimentation Scenarios for Machine Learning-Based Resource Management. In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds) Artificial Intelligence Applications and Innovations." AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology, vol 652. Springer, Cham

July 3, 2025

Open

S. ARNAOUT, A. RAHMAN S. HAUSMAN, M. MOWLA, P. KORBEL, "Greedy Graph Coloring and Hungarian Algorithms for Resource Scheduling in TWDM-PON", IEEE Access, 2024

December 11, 2024

Open

S. Rommel, P. Kulesza, A. Flizikowski, A. Kumar, M. M. Mowla, S. Ahearne, B. Cimoli, and I. T. Monro , “5G Demonstration on an EMDC with ML-Enabled Scaling and QKD-Secured Connectivity,” in IEEE Globecom, Cape Town, South Africa

December 8, 2024

Open

S. Arnaout, M. A. Rahman, M. M. Mowla, S. Hausman and P. Korbel, "Dynamic Resource Allocation for Converged Optical and Radio Architecture in 6G Networks," 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Madrid, Spain, 2024, pp. 329-334

July 8, 2024

Open

A. Girycki, M. A. Rahman, A. P. Guevara and S. Pollin, "Beamforming and Functional Split Selection for Scalable Cell-free mMIMO Networks," 2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Antwerp, Belgium, 2024, pp. 1-6

June 3, 2024

Open

A. Girycki, M. A. Rahman and S. Pollin, "DQN and Heuristic Precoding-aware Scheduling in Cell-free mMIMO Networks," 2024 IEEE Wireless Communications and Networking Conference (WCNC), Dubai, United Arab Emirates, 2024

April 21, 2024

Open

A. Girycki, M. A. Rahman, E. Vinogradov and S. Pollin, "Learning-Based Precoding-Aware Radio Resource Scheduling for Cell-Free mMIMO Networks," in IEEE Transactions on Wireless Communications, vol. 23, no. 5, pp. 4876-4888, May 2024

October 17, 2023

Open

H-J. Damsgaard, A. Ometov, M. Mowla, A. Flizikowski, J. Nurmi. "Approximate computing in B5G and 6G wireless systems: A survey and future outlook." Computer Networks (2023): 109872

September 1, 2023

Open