A promising integration of sdn and blockchain for iot networks: A survey

SW Turner, M Karakus, E Guler, S Uludag - IEEE Access, 2023 - ieeexplore.ieee.org
The state of computer network technologies has continually advanced at a rapid pace.
Software Defined Networking (SDN) and Blockchain (BC) have emerged as complementary …

Software-defined UAV networks for 6G systems: Requirements, opportunities, emerging techniques, challenges, and research directions

MDABS Abir, MZ Chowdhury… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
The ever-increasing demand for wireless communication has driven the development of
innovative technologies to address the issues that conventional communication networks …

On the performance of IRS-aided UAV networks with NOMA

S Solanki, J Park, I Lee - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
This paper investigates the performance of an intelligent reflective surface (IRS) assisted
non-orthogonal multiple access (NOMA) system, where the IRS is mounted on an …

Energy efficient AP selection for cell-free massive MIMO systems: Deep reinforcement learning approach

N Ghiasi, S Mashhadi, S Farahmand… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The problem of access point (AP) to device association in a cell-free massive multiple-input
multiple-output (MIMO) system is investigated. Utilizing energy efficiency (EE) as our main …

Organic 6G networks: Vision, requirements, and research approaches

MI Corici, F Eichhorn, R Bless, M Gundall… - IEEE …, 2023 - ieeexplore.ieee.org
Building upon the significant number of already published 6G position papers, we are
concentrating on the immediate next steps toward turning the research vision of software …

Boosting learning for LDPC codes to improve the error-floor performance

HY Kwak, DY Yun, Y Kim, SH Kim… - Advances in Neural …, 2023 - proceedings.neurips.cc
Low-density parity-check (LDPC) codes have been successfully commercialized in
communication systems due to their strong error correction capabilities and simple decoding …

[HTML][HTML] Harnessing the Potential of Emerging Technologies to Break down Barriers in Tactical Communications

L Concha Salor, V Monzon Baeza - Telecom, 2023 - mdpi.com
In the realm of military communications, the advent of new technologies like 5G and the
future 6G networks holds promise. However, incorporating these technologies into tactical …

Deep learning for multi-user MIMO systems: Joint design of pilot, limited feedback, and precoding

J Jang, H Lee, IM Kim, I Lee - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In conventional multi-user multiple-input multiple-output (MU-MIMO) systems with frequency
division duplexing (FDD), channel acquisition and precoder optimization processes have …

Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends

HMF Noman, E Hanafi, KA Noordin, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …

Multitask and multiobjective joint resource optimization for UAV-assisted air-ground integrated networks under emergency scenarios

X Song, M Cheng, L Lei, Y Yang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To face the challenges in emergency scenarios, a multitask and multiobjective optimization
algorithm for computation offloading and relay communication is investigated for the air …