Preparation and Characterization of New Poly (Ether-Ester-Urethane) Membrane and Its Comprehensive Potential Evaluation for Natural Organic Matter Rejection from Water [PDF]
In this study, the novel poly (ether-ester) urethane membranes, synthesized from poly(dioxanone) (PDO) and poly (ethylene glycol) (PEG) triblock copolymers, were introduced for the humic acid removal as a model of natural organic matter from aqueous ...
Mohammad Safdari +3 more
doaj +1 more source
Optically Feeding 1.75 W With 100 m MMF in Efficient C-RAN Front-Hauls With Sleep Modes
Using bundles of multimode optical fibers (MMF) as part of the 5G centralized radio access networks front-haul solutions for optically powering of low power consumption Remote Radio Heads (RRH) is proposed and experimentally demonstrated with 100 m of ...
J. L. López Cardona +5 more
semanticscholar +1 more source
Nephalai: towards LPWAN C-RAN with physical layer compression [PDF]
We propose Nephelai, a Compressive Sensing-based Cloud Radio Access Network (C-RAN), to reduce the uplink bit rate of the physical layer (PHY) between the gateways and the cloud server for multi-channel LPWANs.
Jun Liu, Weitao Xu, Sanjay Jha, Wen Hu
semanticscholar +1 more source
Broadband Wireless Communication Systems for Vacuum Tube High-Speed Flying Train
A vactrain (or vacuum tube high-speed flying train) is considered as a novel proposed rail transportation approach in the ultra-high-speed scenario. The maglev train can run with low mechanical friction, low air resistance, and low noise mode at a speed ...
Chencheng Qiu +5 more
doaj +1 more source
Dynamically Energy-Efficient Resource Allocation in 5G CRAN Using Intelligence Algorithm
5G network is the next generation for cellular networks to overcome the challenges and limitations of the 4G network. Cloud Radio Access Network(C-RAN) is providing solutions for cost-efficient and power-efficient solutions for the 5G network.
Prasanth Rao Adiraju, Voore Subba Rao
doaj +1 more source
Unsupervised Learning for C-RAN Power Control and Power Allocation
This letter applies a feedforward neural network trained in an unsupervised fashion to the problem of optimizing the transmit powers in centralized radio access networks operating on a cell-free basis. Both uplink and downlink are considered.
Rasoul Nikbakht +2 more
semanticscholar +1 more source
Joint Route Selection and Split Level Management for 5G C-RAN
This work tackles the problem faced by network/infrastructure providers of jointly selecting routing and functional split level to satisfy requests from virtual mobile network operators (vMNOs).
Cristian C. Erazo-Agredo +5 more
semanticscholar +1 more source
A View Synthesis-Based 360° VR Caching System Over MEC-Enabled C-RAN
With the development of virtual reality (VR) technology, the future of VR systems is evolving from single-user wired connections to multi-user wireless connections.
Jianmei Dai +3 more
semanticscholar +1 more source
Optimizing Over-the-Air Computation in IRS-Aided C-RAN Systems [PDF]
Over-the-air computation (AirComp) is an efficient solution to enable federated learning on wireless channels. Air- Comp assumes that the wireless channels from different devices can be controlled, e.g., via transmitter-side phase compensation, in order ...
Daesung Yu +3 more
semanticscholar +1 more source
An Efficient Rate-Splitting Multiple Access Scheme for the Downlink of C-RAN Systems [PDF]
This letter studies the optimization of rate-splitting multiple access (RSMA) transmission technique for a cloud radio access network (C-RAN) downlink system.
Daesung Yu, Junbeom Kim, Seok-Hwan Park
semanticscholar +1 more source

