Dynamic Fairness-Aware Spectrum Auction for Enhanced Licensed Shared Access in 6G Networks

no code implementations • 20 Dec 2023 • Mina Khadem, Maryam Ansarifard, Nader Mokari, Mohammadreza Javan, Hamid Saeedi, Eduard A. Jorswieck

We first propose a novel greedy algorithm, named market share based weighted greedy algorithm (MSWGA) to achieve better fairness compared to the traditional auction methods and as the second approach, we exploit deep reinforcement learning (DRL) algorithms, to optimize the auction policy and demonstrate its superiority over other methods.

Fairness

AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty

no code implementations • 1 May 2023 • Maryam Ansarifard, Nader Mokari, Mohammadreza Javan, Hamid Saeedi, Eduard A. Jorswieck

In particular, the problem is formulated to minimize the average AoI of users with elastic tasks, by adjusting UAVs trajectory and resource allocation on both UAVs and HAP, which is restricted by the channel state information (CSI) uncertainty and multiple resource constraints of UAVs and HAP.

Scheduling