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A Review on Green Caching Strategies for Next Generation Communication Networks

M. Ishtiaque A. Zahed, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung, Md Munjure Mowla, Muhammad Waqas
2020 IEEE Access  
To address this transformation, our proposed study also reviews recent articles on heterogeneous networks (HetNets), cloud radio access networks (C-RAN), and fog radio access networks (F-RAN).  ...  A green framework, which incorporated caching and harvested energy sharing among the SBSs, optimally allocated network resources and minimized brown energy consumption [208] .  ... 
doi:10.1109/access.2020.3040958 fatcat:stj6zehnh5a3jcznqckmwwtwbe

SkyHaul: An Autonomous Gigabit Network Fabric in the Sky [article]

Ramanujan K Sheshadri, Eugene Chai, Karthikeyan Sundaresan, Sampath Rangarajan
2020 arXiv   pre-print
; and (3) A provably optimal solution for fast and safe reconfiguration of UAV backhaul during application dynamics.  ...  We design and build SKYHAUL, the first large-scale, autonomous, self-organizing network of Unmanned Aerial Vehicles (UAVs) that are connected using a mmWave wireless mesh backhaul.  ...  Blue -All possible radio beams. Red, Green, Brown -Selected beams after successful connection. Figure 4 : 4 Throughput Figure 7 :Figure 8 : 78 Surface-curve fitting for the throughput model.  ... 
arXiv:2006.11307v1 fatcat:f6vh65durferhcuahpc6s53gde

Beyond private 5G networks: applications, architectures, operator models and technological enablers

Mickael Maman, Emilio Calvanese-Strinati, Lam Ngoc Dinh, Thomas Haustein, Wilhelm Keusgen, Sven Wittig, Mathis Schmieder, Sergio Barbarossa, Mattia Merluzzi, Francesca Costanzo, Stefania Sardellitti, Henrik Klessig (+11 others)
2021 EURASIP Journal on Wireless Communications and Networking  
Finally, some optimization can be made individually for service placement, network slicing and orchestration or jointly at radio access, multi-access edge computing or core network level.  ...  During the deployment, a monitoring tools will support to validate the deployment and to make sure that the end-to-end system meet the target KPI.  ...  The contributors of Sect. 2 are Alpha Networks (ANI), Athonet (ATH), Chunghwa Telecom (CHT), ITRI and Bosch authors. The latter two mainly wrote this section. HHI authors wrote Sect. 3.  ... 
doi:10.1186/s13638-021-02067-2 pmid:34899876 pmcid:PMC8642759 fatcat:hs4jnahzzbhozaq7amhp5kcfam

Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey [article]

Shuyan Hu, Xiaojing Chen, Wei Ni, Xin Wang, Ekram Hossain
2019 arXiv   pre-print
The advancements in smart power grid and the advocation of "green communications" have inspired the wireless communication networks to harness energy from ambient environments and operate in an energy-efficient  ...  A significant part of the article is devoted to the redistribution of redundant (unused) energy harvested within cellular networks, the energy planning under dynamic pricing when smart grids are in place  ...  In other words, the curve of transmitted energyP t needs to meet the curve of harvested energyẼ t at time instant T .  ... 
arXiv:1912.13203v1 fatcat:rhnrbxe5wbd3banrfksuxq4oyy

A Survey on Mobility-Induced Service Migration in the Fog, Edge, and Related Computing Paradigms

Zeineb Rejiba, Xavier Masip-Bruin, Eva Marín-Tordera
2019 ACM Computing Surveys  
With the advent of fog and edge computing paradigms, computation capabilities have been moved towards the edge of the network to support the requirements of highly demanding services.  ...  Several studies have emerged recently to address service migration in different edge-centric research areas, including fog computing, multi-access edge computing (MEC), cloudlets and vehicular clouds.  ...  Focusing on the context of Green Cloudlet Networks (GCN), i.e. cloudlet networks "powered by both green and brown energy", authors in [31] propose the "Energy driven AvataR migration (EARN)" scheme.  ... 
doi:10.1145/3326540 fatcat:dupvh6d32jed3nr7lvc5zu4fa4

A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks [article]

Sanaa Hamid Mohamed, Taisir E.H. El-Gorashi, Jaafar M.H. Elmirghani
2019 arXiv   pre-print
This survey article reviews the challenges associated with deploying and optimizing big data applications and machine learning algorithms in cloud data centers and networks.  ...  Wide ranging efforts were devoted to optimize systems that handle big data in terms of various applications performance metrics and/or infrastructure energy efficiency.  ...  To achieve this, telecom infrastructures are required to transform their infrastructure design and management for example by integrating VNF with Cloud Radio Access Networks (C-RANs) in the front-haul  ... 
arXiv:1910.00731v1 fatcat:kvi3br4iwzg3bi7fifpgyly7m4

A Fundamental Tradeoff Between Total and Brown Power Consumption in Geographically Dispersed Data Centers

Abbas Kiani, Nirwan Ansari
2016 IEEE Communications Letters  
maximization and brown energy cost minimization problems.  ...  To this end, the notion of green workload and green service rate, versus brown workload and brown service rate, respectively, to facilitate the separation of green energy utilization maximization and brown  ...  brown energy cost minimization problems.  ... 
doi:10.1109/lcomm.2016.2598535 fatcat:5ybkurn3mjbqrc3n5mtyds7lzq

Electromagnetic Nanocommunication Networks: Principles, Applications, and Challenges

Md. Humaun Kabir, S. M. Riazul Islam, Anish Prasad Shrestha, Farman Ali, Md. Alamgir Badsha, Md. Jalil Piran, Dinh-Thuan Do
2021 IEEE Access  
This would definitely searches the optimal coding architecture for the minimization increase the overall network traffic and multi-user inter- of energy of transmission in such networks.  ...  Vidan, mission energy minimization in wireless nanosensor networks,’’ Nano B. Kimball, J. Carlson, G. Benham, Y. Wang, A.  ... 
doi:10.1109/access.2021.3135335 fatcat:ldbgse24vjgnfcezsnk5f3li6m

A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing [article]

Klervie Toczé, Simin Nadjm-Tehrani
2018 arXiv   pre-print
Edge computing is promoted to meet increasing performance needs of data-driven services using computational and storage resources close to the end devices, at the edge of the current network.  ...  Among several research gaps, we found that research is less prevalent on data, storage, and energy as a resource, and less extensive towards the estimation, discovery and sharing objectives.  ...  [78] propose an algorithmic framework to solve the joint optimization problem of radio and computational resources with the aim of minimizing the overall energy consumption of the users while meeting  ... 
arXiv:1801.05610v3 fatcat:6qvk6orhszgrdg2bbpdxpi4m6q

A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing

Klervie Toczé, Simin Nadjm-Tehrani
2018 Wireless Communications and Mobile Computing  
Edge computing is promoted to meet increasing performance needs of data-driven services using computational and storage resources close to the end devices at the edge of the current network.  ...  Among several research gaps, we found that research is less prevalent on data, storage, and energy as a resource and less extensive towards the estimation, discovery, and sharing objectives.  ...  [78] propose an algorithmic framework to solve the joint optimization problem of radio and computational resources with the aim of minimizing the overall energy consumption of the users while meeting  ... 
doi:10.1155/2018/7476201 fatcat:ut6rdgo2abclrjrkrcpnrqadg4

Resource Allocation in Wireless Networks with Energy Constraints [article]

Panagiotis D. Diamantoulakis
2018 arXiv   pre-print
The next two chapters focus on wireless powered networks (WPNs) and simultaneous wireless information and power transfer (SWIPT) using radio frequency (RF) technology.  ...  Moreover, SWIPT is investigated and efficiently optimized in the context of multicarrier cooperative communication networks.  ...  The application of multiple-input multiple-output (MIMO) and cloud radio access networks (CRANs) techniques to NOMA has been considered in [93] [94] [95] [96] and [97] , respectively.  ... 
arXiv:1803.04864v1 fatcat:xft526m7lzavbob42uhyo74kbm

Design and Analysis of Dynamic Auto Scaling Algorithm (DASA) for 5G Mobile Networks [article]

Yi Ren, Tuan Phung-Duc, Jyh-Cheng Chen
2017 arXiv   pre-print
VNFs can be dynamically scale-in/out to meet the performance requirements for future 5G networks.  ...  Network Function Virtualization (NFV) enables mobile operators to virtualize their network entities as Virtualized Network Functions (VNFs), offering fine-grained on-demand network capabilities.  ...  BACKGROUND A cellular network typical is composed of Radio Access Network (RAN) and Core Network (CN) as shown in Fig. 1 [20] .  ... 
arXiv:1604.05803v3 fatcat:zbruym25jbcide2kfxpagsdd3a

Quality of experience and access network traffic management of HTTP adaptive video streaming

Michael Seufert, Phuoc Tran-Gia
2018 NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium  
In contrast, the download time grows hyperbolically when the network load increases towards 1.  ...  Optimization Problem 2 (Minimize switches at given target quality Wopt).  ...  When the event is processed, the new current bandwidth of request i, ρi(t), is determined randomly according to an exponential distribution with mean ρi.  ... 
doi:10.1109/noms.2018.8406136 dblp:conf/noms/SeufertT18 fatcat:uaw2hfykmzglxb4glwf3b2p5s4

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey [article]

Latif U. Khan, Ibrar Yaqoob, Nguyen H. Tran, S. M. Ahsan Kazmi, Tri Nguyen Dang, Choong Seon Hong
2020 arXiv   pre-print
radio access networks [195] .  ...  In [97] , a joint latency and energy optimized communication were achieved through data caching algorithm in Precision Agriculture (PA) system.  ... 
arXiv:1909.08747v2 fatcat:nwnyec5gnfdmtd3msohsbkgulm

khan2020.pdf

Khan Zulfiqar
2021 figshare.com  
radio access networks [196] .  ...  In [97] , a joint latency and energy optimized communication were achieved through data caching algorithm in Precision Agriculture (PA) system.  ... 
doi:10.6084/m9.figshare.14099087.v1 fatcat:nipztbbrgrcwvp2dy6m2gbyytm
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