Results 191 to 200 of about 11,678 (225)

Slice admission control in 5G cloud radio access network using deep reinforcement learning: A survey

International Journal of Communication Systems
The emergence of 5G networks has increased the demand for network resources, making efficient resource management crucial. Slice admission control (SAC) is a process that governs the creation and allocation of virtualized network environments, known as ...
Mohsen Khani, Shahram Jamali, Mohammad Karim Sohrabi, Mohammad Mohsen Sadr, Ali Ghaffari   +4 more
semanticscholar   +1 more source

Coordinated Multipoint User Scheduling for 5G Cloud Radio Access Network

Information Security Solutions Europe, 2020
Next generation 5G networks is expected to utilize the telecom cloud and be comprised of heterogeneous cellular architecture consisting of numerous micro and femto-cells.
D. Benhaddou, M. Harikumar, Ji Chen, Zhu Han, V. Bhaskar, A. Abdelhadi   +5 more
semanticscholar   +1 more source

Dynamic resource allocation in TDD-based heterogeneous cloud radio access networks

China Communications, 2016
To fulfill the explosive growth of network capacity, fifth generation (5G) standard has captured the attention and imagination of researchers and engineers around the world. In particular, heterogeneous cloud radio access network (H-CRAN), as a promising network paradigm in 5G system, is a hot research topic in recent years.
Zhi Yu, Ke Wang, Hong Ji, Xi Li, Heli Zhang   +4 more
openaire   +1 more source

Optimizing resources allocation in a heterogeneous cloud radio access network using machine learning

Transactions on Emerging Telecommunications Technologies, 2022
Mahdi Shirmohamadi, H. Bakhshi, Mohamad Dosaranian Moghadam   +2 more
semanticscholar   +1 more source

Ultra-low-latency ubiquitous connections in heterogeneous cloud radio access networks

IEEE Wireless Communications, 2015
Although heterogeneous cloud radio access networks (H-CRAN) have emerged for efficient network management, resource management, and throughput enhancement, new technical challenges remain to support the urgent need to achieve full automation for ultra-low-latency connections.
Shao-Yu Lien, Shao-Chou Hung, Kwang-Cheng Chen, Ying-Chang Liang   +3 more
openaire   +1 more source

A Matching Game for Device Association and Resource Allocation in Heterogeneous Cloud Radio Access Networks

IEEE Communications Letters, 2018
In this letter, a framework to optimize device association (DA), radio resource allocation (RA), and power allocation (PA) in heterogeneous cloud radio access network (H-CRAN) is proposed.
Mohamed Kadry Elhattab, M. M. Elmesalawy, Tawfik Ismail, H. H. Esmat, Mostafa M. Abdelhakam, H. Selmy   +5 more
semanticscholar   +1 more source

Resource Allocation for D2D Communication Underlying 5G Heterogeneous Cloud Radio Access Networks

International Conference on Speech Technology and Human-Computer Dialogue, 2019
Device-to-device (D2D) communication and heterogeneous cloud wireless access network (H-CRAN) are widely regarded as two important technologies in fifth-generation (5G) network. However, due to the lack of spectrum resources, D2D needs to share resources
Jianjun Zhang, Xiaoqian Wang, Benhong Zhang, Xiang Bi, Baishun Guo, Yongzhao Wu   +5 more
semanticscholar   +1 more source

Resource Allocation in Heterogeneous Cloud Radio Access Networks: A Workload Balancing Perspective

2015 IEEE Global Communications Conference (GLOBECOM), 2014
Heterogeneous cloud radio access networks (H-CRANs) have been proposed as a promising architecture for providing high energy efficiency, high spectral efficiency and high data rate at low cost. In this paper, we develop a novel resource allocation scheme among macro base stations (BSs) and remote radio heads (RRHs) for the H-CRANs.
Chen Ran, Shaowei Wang
openaire   +1 more source

Coordinated multi-point joint transmission evaluation in heterogenous cloud radio access networks

2017 Iranian Conference on Electrical Engineering (ICEE), 2017
In this paper, the effect of applying coordinated multi-point joint transmission (CoMP-JT) in system performance of 5G heterogeneous cloud radio access networks (H-CRANs) is investigated. For this purpose, two simple user-centric and network-centric clustering methods are presented and the amount of obtained CoMP gain in each of these dynamic-formed ...
Shima Haddadi, Abdorasoul Ghasemi
openaire   +1 more source

Perron-Frobenius Theory Based Power Allocation in Heterogeneous Cloud Radio Access Networks

2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), 2015
As the evolution of cloud radio access networks (CRANs), heterogeneous cloud radio access networks (H- CRANs) are now recognized as promising paradigm to achieve high spectral and energy efficiency through taking advantages of both heterogeneous networks and C- RANs.
Kecheng Zhang, Mugen Peng, Chonggang Wang, Shi Yan   +3 more
openaire   +1 more source