Efficient Resource Allocation in Software Defined Wireless Networks

• Applicant: Professor Dr.-Ing. Eduard Axel Jorswieck
• Subject Area: Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering
• Term: from 2018 to 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 400727813

• Final Report Year: 2023

Final Report Abstract

Being in the research phase of the sixth generation (6G) of mobile communications, the project studied modern communication architectures driving by software-defined radio (SDR) and the corresponding radio resource allocation problems. Non-orthogonal multiple access (NOMA) allows several users to be served simultaneously on the same time-frequency resource. Additionally, computational capabilities are available at the mobile edge cloud. Hence, a joint optimization of network function virtualization (NFV) together with resource allocation and transmit strategy design, is needed to compute the ultimate limits of these new network architectures and features. Finally, novel moving access points within unmanned aerial vehicles (UAVs) provide improved flexible coverage and network availability. In the project, we modelled these networks and their parameters carefully and formulated systematic optimization problems. These were either solved by classical optimization theoretic approaches (including convex, distributed, and global programming) if possible or by modern machine-learning-based methods, where both supervised and unsupervised learning algorithms are considered. Hence, the main outcome of the project are algorithms for close-to-optimal resource allocation in beyond 5G and 6G networks. Their implementation is made available in online repositories, the corresponding papers are linked. The main methodological results are obtained for the fundamental understanding of NOMA, its optimal decoding order, and the optimal power allocation in various network setups. The NOMA technology is currently considered as a building block of 6G. Therefore, the basic understand is important, timely, and relevant. Furthermore, the optimization of the network parameters to establish a reliable end-to-end performance in unmanned-aerial-vehicle (UAV)-assisted wireless connectivity enables wireless industrial internet of things (IIoT). Furthermore, the algorithms developed for joint radio and computational resource allocation show significant gains in terms of network performance compared to the state of the art. All results of the project were either published in journals and conferences or made available on code repositories.

Publications

• E2E QoS Guarantee for the Tactile Internet via Joint NFV and Radio Resource Allocation. IEEE Transactions on Network and Service Management, 17(3), 1788-1804.
  Gholipoor, Narges; Saeedi, Hamid; Mokari, Nader & Jorswieck, Eduard A.
  
• Fairness and Transmission-Aware Caching and Delivery Policies in OFDMA-Based HetNets. IEEE Transactions on Mobile Computing, 19(2), 331-346.
  Rezvani, Sepehr; Mokari, Nader; Javan, Mohammad R. & Jorswieck, Eduard A.
  
• Resource Allocation in Virtualized CoMP-NOMA HetNets: Multi-Connectivity for Joint Transmission. IEEE Transactions on Communications, 69(6), 4172-4185.
  Rezvani, Sepehr; Yamchi, Nader Mokari; Javan, Mohammad Reza & Jorswieck, Eduard Axel
  
• Robust Energy-Efficient Resource Management, SIC Ordering, and Beamforming Design for MC MISO-NOMA Enabled 6G. IEEE Transactions on Signal Processing, 69, 2481-2498.
  Zakeri, Abolfazl; Khalili, Ata; Javan, Mohammad Reza; Mokari, Nader & Jorswieck, Eduard
  
• AI-Based Secure NOMA and Cognitive Radio-Enabled Green Communications: Channel State Information and Battery Value Uncertainties. IEEE Transactions on Green Communications and Networking, 6(2), 1037-1054.
  Sheikhzadeh, Saeed; Pourghasemian, Mohsen; Javan, Mohammad Reza; Mokari, Nader & Jorswieck, Eduard A.
  
• Joint Resource Allocation, Task Processing, and Trajectory Design for UAV-assisted Industrial IoT Users in 6G Networks. 2022 IEEE Conference on Standards for Communications and Networking (CSCN), 71-77. IEEE.
  Mohammadisarab, Amir; Khalili, Ata; Nouruzi, Ali; Mokari, Nader; Arand, Bijan Abbasi & Jorswieck, Eduard A.
  
• Optimal Power Allocation in Downlink Multicarrier NOMA Systems: Theory and Fast Algorithms. IEEE Journal on Selected Areas in Communications, 40(4), 1162-1189.
  Rezvani, Sepehr; Jorswieck, Eduard A.; Joda, Roghayeh & Yanikomeroglu, Halim
  
• Optimal SIC Ordering and Power Allocation in Downlink Multi-Cell NOMA Systems. IEEE Transactions on Wireless Communications, 21(6), 3553-3569.
  Rezvani, Sepehr; Jorswieck, Eduard Axel; Yamchi, Nader Mokari & Javan, Mohammad Reza
  
• Proactive and AoI-Aware Failure Recovery for Stateful NFV-Enabled Zero-Touch 6G Networks: Model-Free DRL Approach. IEEE Transactions on Network and Service Management, 19(1), 437-451.
  Shaghaghi, Amirhossein; Zakeri, Abolfazl; Mokari, Nader; Javan, Mohammad Reza; Behdadfar, Mohammad & Jorswieck, Eduard A.
  
• Resource Management for Transmit Power Minimization in UAV-Assisted RIS HetNets Supported by Dual Connectivity. IEEE Transactions on Wireless Communications, 21(3), 1806-1822.
  Khalili, Ata; Monfared, Ehsan Mohammadi; Zargari, Shayan; Javan, Mohammad Reza; Yamchi, Nader Mokari & Jorswieck, Eduard Axel