Z Lin, M Lin, T De Cola, JB Wang… - … Internet of Things …, 2021 - ieeexplore.ieee.org
… the max–min fairness, we aim at maximizing the sumrate under the SINR requirements of users, by considering both the sumrate and fairness. The remainder of this article is organized …
T Ahmad, R Chai, M Adnan - … Emerging Topics in Networking …, 2020 - ieeexplore.ieee.org
… A sum-rate maximization problem was formulated and the optimal … sum-rate of the system and formulate the joint access mode selection and resource allocation problem as a sum-rate …
W Ahsan, W Yi, Z Qin, Y Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… To maximise the average performance of sumrates, this work designs an efficient optimization approach based on two reinforcement learning algorithms, namely deep reinforcement …
… Besides, a resource allocation for downlink multi-user scenario was studied in [25], where a multi-objective optimization problem was formulated to balance the maximum sumrate and …
X Li, Q Wang, M Liu, J Li, H Peng… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
… In the end, we design an OPA scheme by maximizing the sumrate of the considered system in the high SNR regime. The main contributions of this article are summarized as follows. 1) …
H Guo, YC Liang, J Chen… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
… The objective of this paper is to maximize the weighted sum-rate (WSR) of the mobile users by jointly optimizing the beamforming at the AP and the phase coefficients of the RIS …
Z Xiang, W Yang, Y Cai, Z Ding… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
… transmissions in IoTnetworks. This introduction is … rates of OMA users are halved and degraded more severely due to the shorter packet. Figure 3 shows that the performance (sumrate) …
… scheme to maximize the sumrate of NOMA network. They proposed centralized algorithm for … In [26], the problem of power and sub-channel allocation to maximize the average sumrate …
T Chen, X Zhang, M You, G Zheng… - … Internet of Things …, 2021 - ieeexplore.ieee.org
… As seen in Table XI, the sumrate difference between the training and the generalization of our proposed supervised GNN approach is only around 0.01. Although the graph embedding …