Results 71 to 80 of about 1,434,249 (208)
Peak shrinking and interpolating for PAPR reduction in M-IFoF-based mobile fronthaul
Digital Communications and Networks, 2022 We apply a Peak Shrinking and Interpolating (PSI) scheme to improve the Peak-to-Average Power Ratio (PAPR) performance in Multiple Intermediate-Frequency-over-Fiber (M-IFoF) based mobile fronthaul.
Luping Qin, Haibo Li, Da Chen, Tao Jiang
doaj +1 more source
Harnessing Free Space Optics for Efficient 6G Fronthaul Networks: Challenges and Opportunities
Engineering Reports, Volume 7, Issue 3, March 2025.The article investigates the potential of free space optics (FSO) for efficient 6G fronthaul networks. FSO is a promising solution to meet the demanding requirements of future 6G applications, either in terrestrial or in nonterrestrial communications. ABSTRACT As standardization work is ongoing for the upcoming sixth generation of cellular networking ...
Abdulhalim Fayad +3 more
wiley +1 more source
Cooperative Beamforming Design for Multi‐BS Integrated Sensing and Communication Systems
IET Communications, Volume 19, Issue 1, January/December 2025.This paper investigates a cooperative multi‐BS ISAC system with multi‐target and multi‐user. In particular, communication and sensing are performed by multiple BSs with a cooperative manner. ABSTRACT Integrated sensing and communication (ISAC) is regarded as a promising paradigm for future sixth‐generation (6G) networks, which effectively improves ...
Peng Wang, Dongsheng Han, Xi Song
wiley +1 more source
Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsWDM-PON has been considered a promising solution for future fronthaul links concerning new mobile networks applications. However, in order to avoid inventory problems and reduce operation costs, there is a need for colorless sources, where the same basic
Adelcio M. Souza +3 more
doaj +1 more source
UAVs‐Assisted Low‐Bit Quantized CF‐mMIMO Systems With MmWave Communications Under MRC Detection
IET Communications, Volume 19, Issue 1, January/December 2025.ABSTRACT The cell‐free massive multiple input multiple output (CF‐mMIMO) approach, due to its high coverage and the ability to attenuate the large‐scale fading impacts in wireless communications, has drawn a lot of attention. Additionally, because of their movement ability, low power, and low‐cost employed infrastructures, unmanned aerial vehicles ...
Sogol Moshirvaziri, Jamshid Abouei
wiley +1 more source
IET Communications, Volume 19, Issue 1, January/December 2025.We introduce a fully distributed framework that leverages belief‐desire‐intention extended (BDIx) agents on user devices to perform dynamic clustering and access‐point selection in a cell‐free 6G network, using both classical and deep‐learning methods for deterministic, scalable AP grouping.
Iakovos Ioannou +5 more
wiley +1 more source
IET Networks, Volume 14, Issue 1, January/December 2025.In emergency situations where ground base stations are disabled, UAVs, due to their low cost and high adaptability, restore communication coverage in remote areas. The main challenge is optimally determining the three‐dimensional positions of the UAVs to meet dynamic user demand and reduce interference.
Nooshin Boroumand Jazi +2 more
wiley +1 more source
2) Cloud Radio Access Networks (C-RAN) and optical Mobile backhaul and fronthaul [PDF]
, 2016 Increasing mobile data traffic due to the rise of both smartphones and tablets has led to high-capacity demand of mobile data network. To meet the ever-growing capacity demand and reduce the cost of mobile network components, Cloud Radio Access Network ...
Hailu, Dawit Hadush
core +1 more source
Social-Aware Edge Caching in Fog Radio Access Networks
IEEE Access, 2017 Fog radio access networks (F-RANs) are becoming an emerging and promising paradigm for fifth generation cellular communication systems. In F-RANs, distributed edge caching techniques among remote radio heads (RRHs) and user equipment (UE) can effectively
Xiang Wang, Supeng Leng, Kun Yang
doaj +1 more source
IoT‐5G and B5G/6G resource allocation and network slicing orchestration using learning algorithms
IET Networks, Volume 14, Issue 1, January/December 2025.In this article, the challenges related to the evolution of 5G and B5G/6G networks are examined more closely. The authors then primarily focus on machine learning solutions for resource allocation in 5G and B5G/6G networks. The requirements for dynamic network slicing orchestration are also analysed.
Ado Adamou Abba Ari +5 more
wiley +1 more source