Low-rank matrix completion for mobile edge caching in Fog-RAN via Riemannian optimization
The upcoming big data era requires tremendous computation and storage resources for
communications. By pushing computation and storage to network edges, fog radio access …
communications. By pushing computation and storage to network edges, fog radio access …
Generalized low-rank optimization for topological cooperation in ultra-dense networks
Network densification is a natural way to support dense mobile applications under stringent
requirements, such as ultra-low latency, ultra-high data rate, and massive connecting …
requirements, such as ultra-low latency, ultra-high data rate, and massive connecting …
On the interplay between communication and computation in green C-RAN with limited fronthaul and computation capacity
Supporting cooperative radio among remote radio heads (RRHs) and elastic cloud service
in the baseband unit (BBU) pool, cloud radio access network (C-RAN) is perceived as a …
in the baseband unit (BBU) pool, cloud radio access network (C-RAN) is perceived as a …
Massive CSI acquisition for dense cloud-RANs with spatial-temporal dynamics
Dense cloud radio access networks (cloud-RANs) provide a promising way to enable
scalable connectivity and handle diversified service requirements for massive mobile …
scalable connectivity and handle diversified service requirements for massive mobile …
Fast algorithm for joint unicast and multicast beamforming in large-scale systems
S Mohammadi, M Dong… - 2021 IEEE 22nd …, 2021 - ieeexplore.ieee.org
We consider a joint unicast and multi-group multicast beamforming design for a large-scale
massive multiple-input multiple-output (MIMO) system, where there may be a large number …
massive multiple-input multiple-output (MIMO) system, where there may be a large number …
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI)
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …
Fronthaul load balancing in energy harvesting powered cloud radio access networks
Enhanced with wireless power transfer capability, cloud radio access network (C-RAN)
enables energy-restrained mobile devices to function uninterruptedly. Beamforming of C …
enables energy-restrained mobile devices to function uninterruptedly. Beamforming of C …
Exploiting sparsity for robust sensor network localization in mixed LOS/NLOS environments
We address the problem of robust network localization in realistic mixed LOS/NLOS
environments. We make use of the fact that the bias of range measurement errors is not only …
environments. We make use of the fact that the bias of range measurement errors is not only …
Scalable coordinated beamforming for dense wireless cooperative networks
To meet the ever growing demand for both high throughput and uniform coverage in future
wireless networks, dense network deployment will be ubiquitous, for which cooperation …
wireless networks, dense network deployment will be ubiquitous, for which cooperation …
A Learning Approach for Efficient Multicast Beamforming Based on Determinantal Point Process
The problem of single-group multicast beamforming (SMBF) is well-known NP-hard. It
motivates the pursuit of computationally efficient near-optimal solutions. Due to multicasting …
motivates the pursuit of computationally efficient near-optimal solutions. Due to multicasting …