The heterogeneous cloud radio access network (Cloud-RAN) provides a revolutionary way to densify radio access networks. It enables centralized coordination and signal processing …
E Chen, M Tao - IEEE Transactions on Communications, 2017 - ieeexplore.ieee.org
Multi-group multicast beamforming in wireless systems with large antenna arrays and massive audience is investigated in this paper. Multicast beamforming design is a well …
F Tan, P Wu, YC Wu, M Xia - IEEE Journal on Selected Areas …, 2020 - ieeexplore.ieee.org
This work investigates the energy-efficient resource allocation for layered-division multiplexing (LDM) based non-orthogonal multicast and unicast transmission in cell-free …
Y Yu, X Bu, K Yang, Z Wu, Z Han - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
With the increasing demands for large-scale computing in Internet of Things network, fog computing emerges as a potential solution. However, the time and energy costs are the …
T Jiang, Y Shi, J Zhang… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Massive device connectivity is a crucial communication challenge for Internet of Things (IoT) networks, which consist of a large number of devices with sporadic traffic. In each coherence …
Y Shi, J Cheng, J Zhang, B Bai… - IEEE Journal on …, 2016 - ieeexplore.ieee.org
The cloud radio access network (Cloud-RAN) has recently been proposed as one of the cost- effective and energy-efficient techniques for 5G wireless networks. By moving the signal …
In this paper, we investigate the network power minimization problem for the multicast cloud radio access network (Cloud-RAN) with imperfect channel state information (CSI). The key …
Z Li, Z Li, Z Ding - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
In this article, distributed algorithms are developed to search the generalized Nash equilibrium (NE) with global constraints. Relations between the variational inequality and …
D Jin, F Yin, AM Zoubir, HC So - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
We study robust network localization for realistic mixed line-of-sight and non-line-of-sight (LOS/NLOS) scenarios, where (i) NLOS identification is not performed,(ii) no statistical …