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Journal articles on the topic 'C-RAN'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

M, Preksha. "A C-RAN Feasibility Study." Journal of Switching Hub 7, no. 2 (2022): 22–27. http://dx.doi.org/10.46610/josh.2022.v07i02.004.

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The number of mobile phone users today is growing dramatically, which will cause network jamming and require a substantial amount of bandwidth. Cloud radio access network (C-RAN) is thus one of the interesting technology alternatives to solve this issue. C-RAN communicates with users using dispersed Remote Radio Heads (RRHs), each of which has one baseband unit (BBU). RRH performs soft relaying and is connected to the BBU via high capability, low latency front-haul lines. Due to the exchange of raw I/Q samples between the RRHs and the BBU, the C-RAN architecture places a restriction on front-h

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2

Upadhyay, Vimal, and Manoj Gupta. "A Review of Futuristic Technology: Cloud RAN (C- RAN) Technologies." HCTL Open International Journal of Technology Innovations and Research (IJTIR) 24, April 2017 (2017): 29–34. https://doi.org/10.5281/zenodo.1034479.

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According to the report of CISCO study, traffic on the net due to mobile data increased rapidly and it will be nearly 11 times between 2013 and 2018. This rapidly increased traffic demands a high bandwidth carrier to increase the network capacity. The demand of increased network capacity rises when the world moves to 4G and onward generations. Limited amount of spectrum efficiency improved by using Wi-Fi offloads, 4G and so on. Frequency reuse play important role to improve the network capacity. The frequency reuse with the help of small cells improves capacity up to 1600x. The use of small ce

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3

Thrishna, S., and Anto Sahaya Dhas Dr. "A Feasibility Study On C-RAN." Journal of Switching Hub 3, no. 3 (2018): 6–12. https://doi.org/10.5281/zenodo.1492961.

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<em>Now a days the number of users of mobile phone are increasing exponentially, so it will cause jamming in the network  and require  large bandwidth So among promising technology candidates to overcome this problem, cloud radio access network (C-RAN) used. C-RAN, having one baseband unit (BBU) communicates with users through distributed Remote Radio Heads (RRHs) .RRH are connected to the BBU via high capability, low latency fronthaul links and performs soft relaying. The architecture of C-RAN imposes a shortage of fronthaul bandwidth because raw I/Q samples are exchanged between th

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4

Huq, Kazi Mohammed Saidul, Shahid Mumtaz, Jonathan Rodriguez, Paulo Marques, Bismark Okyere, and Valerio Frascolla. "Enhanced C-RAN Using D2D Network." IEEE Communications Magazine 55, no. 3 (2017): 100–107. http://dx.doi.org/10.1109/mcom.2017.1600497cm.

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Tian, Fengyu, Peng Zhang, and Zheng Yan. "A Survey on C-RAN Security." IEEE Access 5 (2017): 13372–86. http://dx.doi.org/10.1109/access.2017.2717852.

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6

Susanto, Tri, K. J. Hartono, and Bilpen Nainggolan. "RISET STRATEGI IMPLEMENTASI C-RAN DI TELKOMSEL MELALUI KOLABORASI JARINGAN NG-PON2 DI TELKOM AKSES MENGGUNAKAN PENDEKATAN METODE STRATEGIC SITUATION ANALYSIS." Jurnal Manajemen Indonesia 17, no. 1 (2017): 49. http://dx.doi.org/10.25124/jmi.v17i1.862.

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Cloud Radio Access Network (C-RAN) adalah teknologi akses radio yang diyakini mampu menekan biaya CAPEX dan OPEX dari mobile operator dan memberikan performansi yang lebih baik dibandingkan Radio Access Network (RAN) tradisional. Salah satu faktor kunci sukses implementasi C-RAN adalah penyediaan jaringan fonthaul yang efektif. Tujuan penelitian ini adalah membuat strategi implementasi C-RAN di Telkomsel melalui kolaborasi jaringan NG-PON2 di Telkom Akses. Pada tulisan ini menggunakan metode analisis kualitatif dengan melakukan strategy situation analysis (SSA) yaitu melakukan analisa data eks

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Lee, M. S., T. P. Lodge, and C. W. Macosko. "Blend encapsulation by random copolymers: C/B/A-ran-B and C/D/A-ran-B systems." Macromolecular Chemistry and Physics 199, no. 8 (1998): 1555–59. http://dx.doi.org/10.1002/(sici)1521-3935(19980801)199:8<1555::aid-macp1555>3.0.co;2-o.

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8

Chenke, Louis Obi, Charles Nche, Éric Michel Deussom Djomadji, and Emmanuel Tanyi Bety. "Review of 5G C-RAN Resource Allocation." ICST Transactions on Mobile Communications and Applications 7, no. 4 (2023): e5. http://dx.doi.org/10.4108/eetmca.v7i4.3263.

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The Fifth Generation (5G) Network will bring different types of services, namely: EMBB, mMTC and URLLC and as more devices connect to the network, each user device request for data capacity will continue to grow. The increase in the number of devices and capacity request for each device will require an increase in network capacity, which will also need an increase in the number of Base Stations in the network. More Base Stations will increase the the Mobile Network Operator’s capital investment and operation costs. However, this increase in CAPEX and OPEX will not provide a corresponding incre

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9

Feng, Lei, Wenjing Li, Peng Yu, and Xuesong Qiu. "An Enhanced OFDM Resource Allocation Algorithm in C-RAN Based 5G Public Safety Network." Mobile Information Systems 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/9586287.

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Public Safety Network (PSN) is the network for critical communication when disaster occurs. As a key technology in 5G, Cloud-Radio Access Network (C-RAN) can play an important role in PSN instead of LTE-based RAN. This paper firstly introduces C-RAN based PSN architecture and models the OFDM resource allocation problem in C-RAN based PSN as an integer quadratic programming, which allows the trade-off between expected bitrates and allocating fairness of PSN Service User (PSU). However, C-RAN based PSN needs to improve the efficiency of allocating algorithm because of a mass of PSU-RRH associati

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10

Ali, Qutaiba I. "Performance Optimization and Architectural Advancements in Cloud Radio Access Networks (C-RAN) for 5G and Beyond." Journal of Electronic & Information Systems 7, no. 1 (2025): 22–38. https://doi.org/10.30564/jeis.v7i1.9960.

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As the demand for high-speed, low-latency, and energy-efficient mobile communications continues to surge with the proliferation of IoT, AR/VR, and ultra-reliable applications, traditional Distributed Radio Access Network (D-RAN) architectures face critical limitations. Cloud Radio Access Network (C-RAN) emerges as a promising alternative that centralizes baseband processing to improve scalability, resource utilization, and operational flexibility. This paper presents a comprehensive evaluation of C-RAN architecture, focusing on structural models, fronthaul technologies, and cloud-based service

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11

Hu, Weisheng, Lilin Yi, Hao He, et al. "Soft-Stacked PON for Soft C-RAN." Journal of Optical Communications and Networking 8, no. 11 (2016): B12. http://dx.doi.org/10.1364/jocn.8.000b12.

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12

Niu, Yanrong. "BASE BAND RESOURCE DISTRIBUTION UNDER C-RAN." International Journal on Smart Sensing and Intelligent Systems 9, no. 1 (2016): 289–308. http://dx.doi.org/10.21307/ijssis-2017-871.

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13

Kim, Donggu, Yanpeng Yang, Ki Won Sung, and Joonhyuk Kang. "Cooperation Strategies for Partly Wireless C-RAN." IEEE Communications Letters 22, no. 6 (2018): 1248–51. http://dx.doi.org/10.1109/lcomm.2018.2807814.

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14

Lee, Wonju, Osvaldo Simeone, Joonhyuk Kang, and Shlomo Shamai. "Multivariate Fronthaul Quantization for Downlink C-RAN." IEEE Transactions on Signal Processing 64, no. 19 (2016): 5025–37. http://dx.doi.org/10.1109/tsp.2016.2593682.

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15

Thami̇zhmaran, K. "Cluster Based Dynamic Bandwidth Allocation C-RAN." International Journal of Electrical Engineering and Computer Science 7 (March 21, 2025): 33–43. https://doi.org/10.37394/232027.2025.7.4.

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A wireless network is a collection of independent nodes or devices that communicate over a single network through a wireless link. Bandwidth allocation is a critical issue in wireless networks because network performance and costs are heavily dependent on this parameter. Cluster-based Heterogeneous Cloud Radio Access Networks (HC-RANs) represent the most advanced network architecture in the current wireless communication system, facilitating cloud computing in Heterogeneous Networks. In this paper, we suggest an HC-RAN with the help of cluster-based bandwidth allocation, which can reduce energ

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Chousainov, Iskanter-Alexandros, Ioannis Moscholios, Alexandros Kaloxylos, and Michael Logothetis. "Performance Evaluation in Single or Multi-Cluster C-RAN Supporting Quasi-Random Traffic." Journal of communications software and systems 16, no. 2 (2020): 170–79. http://dx.doi.org/10.24138/jcomss.v16i2.1013.

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In this paper, a cloud radio access network (C-RAN) is considered where the remote radio heads (RRHs) are separated from the baseband units (BBUs). The RRHs in the C-RAN are grouped in different clusters according to their capacity while the BBUs form a centralized pool of computational resource units. Each RRH services a finite number of mobile users, i.e., the call arrival process is the quasi-random process. A new call of a single service-class requires a radio and a computational resource unit in order to be accepted in the C-RAN for a generally distributed service time. If these resource

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17

Kareem, Azad R., Ali M. Mahmood, and Naser Al-Falahy. "Performance Evaluation of IPTV Zapping Time Reduction Using Edge Processing of Fog RAN." Mathematical Modelling of Engineering Problems 9, no. 4 (2022): 928–36. http://dx.doi.org/10.18280/mmep.090409.

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Internet Protocol Television (IPTV) is a promising technology that can provide TV broadcast services everywhere and anytime in next-generation wireless networks. However, channel zapping delay time between two successive channel switches is one of the key metrics that may hinder viewers' satisfaction with the IPTV system. Several factors are contributed to prolonging the switching delay such as the delay of the access link that could be generated by the underlying network. In this paper, the minimization of the zapping delay is investigated using the concept of Fog Radio Access Networks (F-RAN

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18

Rodoshi, Rehenuma Tasnim, Taewoon Kim, and Wooyeol Choi. "Resource Management in Cloud Radio Access Network: Conventional and New Approaches." Sensors 20, no. 9 (2020): 2708. http://dx.doi.org/10.3390/s20092708.

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Cloud radio access network (C-RAN) is a promising mobile wireless sensor network architecture to address the challenges of ever-increasing mobile data traffic and network costs. C-RAN is a practical solution to the strict energy-constrained wireless sensor nodes, often found in Internet of Things (IoT) applications. Although this architecture can provide energy efficiency and reduce cost, it is a challenging task in C-RAN to utilize the resources efficiently, considering the dynamic real-time environment. Several research works have proposed different methodologies for effective resource manag

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19

Laguidi, Ahmed, and Aawatif Hayar. "Energy and Congestion Management Algorithms of Small Cells in the Cloud RAN (C-RAN)." Journal of Computing Science and Engineering 13, no. 1 (2019): 32–38. http://dx.doi.org/10.5626/jcse.2019.13.1.32.

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20

Shivya Srivastava. "A Comparative Analysis of F-RAN and C-RAN Architectures for Next-Generation Wireless Networks." Panamerican Mathematical Journal 34, no. 4 (2024): 434–49. http://dx.doi.org/10.52783/pmj.v34.i4.2016.

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Within the realms of software-defined networks (SDN), this study offers an in-depth analysis of F-RAN and C-RAN designs. It evaluates the essential characteristics, performance metrics, and deployment considerations of both architectures to enhance understanding of their capabilities. Additionally, the study explores the potential advantages and challenges of integrating F-RAN and C-RAN with SDN, offering insights for network architects and operators. By thoroughly comparing these architectures and analyzing their key features, performance metrics, and deployment considerations, the objective

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Shivya Srivastava. "A Comparative Analysis of F-RAN and C-RAN Architectures for Next-Generation Wireless Networks." Journal of Information Systems Engineering and Management 10, no. 13s (2025): 344–51. https://doi.org/10.52783/jisem.v10i13s.2065.

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By means of optimization, next-generation wireless networks will be able to meet the growing need for lowered latency, fast data rates, and enhanced connection. We investigate two interesting ideas for next-generation radio networks and assess Cloud Radio Access Network (C-RAN) and Flexible Radio Access Network (F-RAN). These designs seek to improve network performance via better use of resources and overcome problems with regular radio access networks. F-RAN guarantees that multiple network components communicate without any problems and lets network management flexibility by letting resource

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22

Ko, Eun Ju, Eo Jin Kim, Jung Oh Kim, et al. "Analysis of the Association Between MicroRNA Biogenesis Gene Polymorphisms and Venous Thromboembolism in Koreans." International Journal of Molecular Sciences 20, no. 15 (2019): 3771. http://dx.doi.org/10.3390/ijms20153771.

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Venous thromboembolism (VTE) involves the formation of a blood clot, typically in the deep veins of the leg or arm (deep vein thrombosis), which then travels via the circulatory system and ultimately lodges in the lungs, resulting in pulmonary embolism. A number of microRNAs (miRNAs) are well-known regulators of thrombosis and thrombolysis, and mutations in miRNA biogenesis genes, such as DICER1, DROSHA have been implicated in miRNA synthesis and function. We investigated the genetic association between polymorphisms in four miRNA biogenesis genes, DICER1 rs3742330A > G, DROSHA rs10719T &gt

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23

Yadnya, Made sutha, Suthami Ariessaputra, and Natasya Dewi Astuti. "CHANNEL SELECTION SIMULATION WITH RAIN CONDITIONS WITH COMPARISON OF SIGNAL STRENGTH OF RECEIVER EXISTING 5G NETWORK FREQUENCY 2.3 GHZ." DIELEKTRIKA 10, no. 2 (2023): 189–94. http://dx.doi.org/10.29303/dielektrika.v10i2.347.

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The 5G network has been used in Grand Prix 1 (GP-1) in Indonesia. In accordance with the permission granted by the Ministry of Communication and Information with a working frequency of below 900 MHZ, mid 2.3 GHz, and high 28 GHz. One of the advantages of 5G is that the download speed reaches 20 Gpbs per user using high frequencies. This study simulates by analyzing the effect of 5G network performance when there is rain attenuation which can reduce signal quality. Then a centralized RAN (C-RAN) architectural scenario is created when the BTS is dampened by rain for each of its links. Then calcu

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24

AlQahtani, Salman A. "Cooperative-Aware Radio Resource Allocation Scheme for 5G Network Slicing in Cloud Radio Access Networks." Sensors 23, no. 11 (2023): 5111. http://dx.doi.org/10.3390/s23115111.

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The 5G network is designed to serve three main use cases: enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable and low-latency communications (uRLLC). There are many new technological enablers, including the cloud radio access network (C-RAN) and network slicing, that can support 5G and meet its requirements. The C-RAN combines both network virtualization and based band unit (BBU) centralization. Using the network slicing concept, the C-RAN BBU pool can be virtually sliced into three different slices. 5G slices require a number of Quality of service

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25

Chousainov, Iskanter-Alexandros, Ioannis Moscholios, and Panagiotis Sarigiannidis. "Congestion Probabilities in a Multi-Cluster C-RAN Servicing a Mixture of Traffic Sources." Electronics 9, no. 12 (2020): 2120. http://dx.doi.org/10.3390/electronics9122120.

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A multi-cluster cloud radio access network (C-RAN) is considered in this paper where the remote radio heads (RRHs) form different clusters. A cluster includes RRHs that have the same radio resource unit capacity. In addition, all RRHs are separated from the common pool of computational resource units named baseband units. Each RRH accommodates calls whose arrival process can be random, quasi-random, or even bursty. The latter is modeled according to the compound Poisson process where calls arrive in the C-RAN in the form of batches whose size (in calls) is generally distributed. An arriving ca

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R.R Mohan, K., G. Vennela, M. Sai Kumar, Ch Satya Srinivas, and A. Harsha. "C Ran Towards 5g Networks in Virtual Environment." International Journal of Engineering & Technology 7, no. 2.7 (2018): 441. http://dx.doi.org/10.14419/ijet.v7i2.7.10859.

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Cloud radio access network is an adaptable mobile network architecture with exponential development of portable traffic and the prerequisites of up and coming administrations are further pushing the cut-off points on current versatile systems; subsequently, overall research interests have moved toward 5G world that view which can address many challenges that mobile operators confront while attempting to support ever-growing end-user’s needs towards 5th generation of mobile networks. Be that as it may, 5G systems are most certainly not to be sent until 2020; subsequently, there is a requirement

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27

Wu, Jun, Zhifeng Zhang, Yu Hong, and Yonggang Wen. "Cloud radio access network (C-RAN): a primer." IEEE Network 29, no. 1 (2015): 35–41. http://dx.doi.org/10.1109/mnet.2015.7018201.

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28

Sahu, Bharat J. R., Shatarupa Dash, Navrati Saxena, and Abhishek Roy. "Energy-Efficient BBU Allocation for Green C-RAN." IEEE Communications Letters 21, no. 7 (2017): 1637–40. http://dx.doi.org/10.1109/lcomm.2017.2695545.

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29

Li, Xingquan, Cunhua Pan, Chiya Zhang, Chunlong He, and Kezhi Wang. "Data Rate Maximization in UAV-Assisted C-RAN." IEEE Wireless Communications Letters 9, no. 12 (2020): 2163–67. http://dx.doi.org/10.1109/lwc.2020.3015991.

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30

I, Chih-Lin, Jinri Huang, Ran Duan, Chunfeng Cui, Jesse Jiang, and Lei Li. "Recent Progress on C-RAN Centralization and Cloudification." IEEE Access 2 (2014): 1030–39. http://dx.doi.org/10.1109/access.2014.2351411.

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31

Jeong, Seongah, Osvaldo Simeone, Alexander Haimovich, and Joonhyuk Kang. "Positioning via direct localisation in C-RAN systems." IET Communications 10, no. 16 (2016): 2238–44. http://dx.doi.org/10.1049/iet-com.2016.0403.

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32

Mei, Haoran, and Limei Peng. "Flexible functional split for cost-efficient C-RAN." Computer Communications 161 (September 2020): 368–74. http://dx.doi.org/10.1016/j.comcom.2020.07.029.

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33

Turk, Yekta, Engin Zeydan, and Cemal Alp Akbulut. "On Performance Analysis of Single Frequency Network with C-RAN." IEEE Access 7 (December 1, 2018): 1502–19. https://doi.org/10.1109/ACCESS.2018.2887005.

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Centralized-RAN (C-RAN) is an architectural trend that uses resource sharing and a set of interference mitigation techniques to reduce capital and operational expenditures for mobile network operators (MNOs). One of the technical enablers of a C-RAN solution is single frequency network (SFN) that curbs the interference and allows MNOs to transmit over single frequency across coordinated cells. One of the main advantages of SFN is that it reduces the number of handovers between neighboring cells while improving the overall system performance. In contrast to previous approaches that demonstrate

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34

Tonini, Federico, Bahare Khorsandi, Steinar Bjornstad, Raimena Veisllari, and Carla Raffaelli. "C-RAN Traffic Aggregation on Latency-Controlled Ethernet Links." Applied Sciences 8, no. 11 (2018): 2279. http://dx.doi.org/10.3390/app8112279.

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Centralized/Cloud Radio Access Networks (C-RAN) are deployed in converged fixed-mobile networks to exploit the flexibility coming from joint application of Network Function Virtualization (NFV) and Software Defined Networking (SDN). In this context, optical links connecting C-RAN nodes, possibly based on the Ethernet standards, may carry traffic with different requirements in terms of latency and throughput. This paper considers the problem of traffic aggregation on C-RAN optical Ethernet links with latency control for fronthaul traffic and throughput capability for backhaul traffic. Integrate

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35

Sheng, Xiaolong. "Advancing Wireless Network: The Role of C-RAN in 5G and Beyond." Applied and Computational Engineering 99, no. 1 (2024): 28–34. http://dx.doi.org/10.54254/2755-2721/99/20251749.

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Abstract: The rapid evolution of mobile communication technologies, particularly with the transition from 5G to 6G, has heightened the demand for higher data capacity, lower latency, and improved network reliability. Traditional Distributed Radio Access Networks (D-RAN) struggle to meet these requirements, creating a gap that has led to the adoption of Cloud Radio Access Network (C-RAN) as the mainstream deployment model. The approach involves a combination of literature review and technological evaluation to assess the scalability and security challenges posed by C-RAN. Simulation models were

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36

Pham, Diep Ngoc Thi, Hongyu Luo, and Jiangping Wu. "Reduced Ran expression in Ran+/−fibroblasts increases cytokine-stimulated nuclear abundance of the AP-1 subunits c-Fos and c-Jun." FEBS Letters 584, no. 22 (2010): 4623–26. http://dx.doi.org/10.1016/j.febslet.2010.10.030.

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37

Larsen, Line M. P., Michael S. Berger, and Henrik L. Christiansen. "Fronthaul for Cloud-RAN Enabling Network Slicing in 5G Mobile Networks." Wireless Communications and Mobile Computing 2018 (August 28, 2018): 1–8. http://dx.doi.org/10.1155/2018/4860212.

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This work considers how network slicing can use the network architecture Cloud-Radio Access Network (C-RAN) as an enabler for the required prerequisite network virtualization. Specifically this work looks at a segment of the C-RAN architecture called the fronthaul network. The fronthaul network required for network slicing needs to be able to dynamically assign capacity where it is needed. Deploying a fronthaul network faces a trade-off between fronthaul bitrate, flexibility, and complexity of the local equipment close to the user. This work relates the challenges currently faced in C-RAN rese

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Calosi, Matteo, Elisa Guazzelli, Simona Braccini, et al. "Self-Assembled Amphiphilic Fluorinated Random Copolymers for the Encapsulation and Release of the Hydrophobic Combretastatin A-4 Drug." Polymers 14, no. 4 (2022): 774. http://dx.doi.org/10.3390/polym14040774.

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Water-soluble amphiphilic random copolymers composed of tri(ethylene glycol) methacrylate (TEGMA) or poly(ethylene glycol) methyl ether methacrylate (PEGMA) and perfluorohexylethyl acrylate (FA) were synthesized by ARGET-ATRP, and their self-assembling and thermoresponsive behavior in water was studied by dynamic light scattering (DLS) and UV-vis spectroscopy. The copolymer ability to self-fold in single-chain nano-sized structures (unimer micelles) in aqueous solutions was exploited to encapsulate Combretastatin A-4 (CA-4), which is a very hydrophobic anticancer drug. The cloud point temperat

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Yang, Peng, Liao Chen, Hong Zhang, Jing Yang, Ruyan Wang, and Zhidu Li. "Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN." Sensors 21, no. 1 (2020): 217. http://dx.doi.org/10.3390/s21010217.

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Cooperative multipoint transmission (CoMP) is one of the most promising paradigms for mitigating interference in cloud radio access networks (C-RAN). It allows multiple remote radio units (RRUs) to transmit the same data flow to a user to further improve the signal quality. However, CoMP may incur redundant data transmission over fronthaul network in the C-RAN. In a C-RAN employing CoMP, a key problem is how to coordinate heterogeneous resource allocation to maximize the cooperation gain while reducing the fronthaul load. In this paper, the cooperation transmission based on a multi-dimensional

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40

Tian, Fengyu, Zheng Yan, Xueqin Liang, and Peng Zhang. "Trusted Cooperation Among Virtual Base Stations in C-RAN." IEEE Access 6 (2018): 57787–801. http://dx.doi.org/10.1109/access.2018.2873758.

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Ghauch, Hadi, Muhammad Mahboob Ur Rahman, Sahar Imtiaz, Christer Qvarfordt, Mikael Skoglund, and James Gross. "User Assignment in C-RAN Systems: Algorithms and Bounds." IEEE Transactions on Wireless Communications 17, no. 6 (2018): 3889–902. http://dx.doi.org/10.1109/twc.2018.2817223.

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Liu, Zhanjun, Xia Peng, Yujing He, and Qichao Ma. "Research on Load Balancing in C-RAN with Femtocells." TELKOMNIKA (Telecommunication Computing Electronics and Control) 14, no. 1 (2016): 86. http://dx.doi.org/10.12928/telkomnika.v14i1.2358.

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Ren, Hong, Nan Liu, Cunhua Pan, et al. "Low-Latency C-RAN: An Next-Generation Wireless Approach." IEEE Vehicular Technology Magazine 13, no. 2 (2018): 48–56. http://dx.doi.org/10.1109/mvt.2018.2811244.

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Tan, Jinghong, Qi Zhang, Tony Q. S. Quek, and Hyundong Shin. "Robust Energy Efficiency Maximization in Multicast Downlink C-RAN." IEEE Transactions on Vehicular Technology 68, no. 9 (2019): 8951–65. http://dx.doi.org/10.1109/tvt.2019.2930723.

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Taghizadeh, Omid, Tianyu Yang, and Rudolf Mathar. "Private Uplink Communication in C-RAN With Untrusted Radios." IEEE Transactions on Vehicular Technology 69, no. 7 (2020): 8034–39. http://dx.doi.org/10.1109/tvt.2020.2995603.

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Satyanarayana, K., Mohammed El-Hajjar, Ping-Heng Kuo, Alain A. M. Mourad, and Lajos Hanzo. "Adaptive Transceiver Design for C-RAN in mmWave Communications." IEEE Access 6 (2018): 16770–82. http://dx.doi.org/10.1109/access.2017.2776083.

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McTavish, Christina, Wesley Bérubé-Janzen, Xu Wang, et al. "Regulation of c-Raf Stability through the CTLH Complex." International Journal of Molecular Sciences 20, no. 4 (2019): 934. http://dx.doi.org/10.3390/ijms20040934.

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c-Raf is a central component of the extracellular signal-regulated kinase (ERK) pathway which is implicated in the development of many cancer types. RanBPM (Ran-Binding Protein M) was previously shown to inhibit c-Raf expression, but how this is achieved remains unclear. RanBPM is part of a recently identified E3 ubiquitin ligase complex, the CTLH (C-terminal to LisH) complex. Here, we show that the CTLH complex regulates c-Raf expression through a control of its degradation. Several domains of RanBPM were found necessary to regulate c-Raf levels, but only the C-terminal CRA (CT11-RanBPM) doma

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Puspita, Fitri Maya, Syalia Arda, Robinson Sitepu, et al. "Validation of Improved Dynamic Spectrum and Traffic Management Models of Internet Pricing of Fair DSL-LTE Multiple QoS Network." Science and Technology Indonesia 7, no. 1 (2022): 49–57. http://dx.doi.org/10.26554/sti.2022.7.1.49-57.

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Currently, the development of communication technology is very rapid, especially on the internet. Therefore, with the increasing need for the internet, the quality of service must also be improved. This study aims to analyze the sensitivity of the internet pricing scheme model using the modified Cloud Radio Access Network (C-RAN) model with the addition of the fair network traffic management variable and combined with the Constant Elasticity of Substitution (CES) utility function. C-RAN is a centralized radio access network to process signals and send them to the core network where the equipme

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LinI, Bao-Shuh Paul. "Toward an AI-Enabled O-RAN-based and SDN/NFV-driven 5Ｇ& IoT Network Era". Network and Communication Technologies 6, № 1 (2021): 6. http://dx.doi.org/10.5539/nct.v6n1p6.

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Artificial Intelligent Technology has impacted tremendously in the areas of high performance computing, and network and communicatons industries. The advantages of a system applying AI includes performance improvent, optimization, and intelligent or smart AnFor intelligent fesure of 5G, network slicing, provided by Network equipment vendor by applying AI, softwarization and virtualization technologies to the network. For many other industries and applications such as healthcare, agriculture, finance, have benefited from AI technology in particular machine learning and deep learning within AL.W

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Iturria-Rivera, Pedro Enrique, Han Zhang, Hao Zhou, Shahram Mollahasani, and Melike Erol-Kantarci. "Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN)." Sensors 22, no. 14 (2022): 5375. http://dx.doi.org/10.3390/s22145375.

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Starting from the concept of the Cloud Radio Access Network (C-RAN), continuing with the virtual Radio Access Network (vRAN) and most recently with the Open RAN (O-RAN) initiative, Radio Access Network (RAN) architectures have significantly evolved in the past decade. In the last few years, the wireless industry has witnessed a strong trend towards disaggregated, virtualized and open RANs, with numerous tests and deployments worldwide. One unique aspect that motivates this paper is the availability of new opportunities that arise from using machine learning, more specifically multi-agent team

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