Results 71 to 80 of about 1,118 (191)

Limited-Fronthaul Cell-Free Massive MIMO with Local MMSE Receiver under Rician Fading and Phase Shifts [PDF]

, 2021
A cell-free Massive multiple-input multiple-output (MIMO) system is considered, where the access points (APs) are linked to a central processing unit (CPU) via the limited-capacity fronthaul links.
Xiao, Pei, Björnson, Emil,, Tafazolli, Rahim,, Bashar, Manijeh, Burr, Alister Graham, Bjornson, Emil, Bashar, Manijeh,, Cumanan, Kanapathippillai, Tafazolli, Rahim, Burr, Alister G, Cumanan, Kanapathippillai,, Burr, Alister G.,, Xiao, Pei,   +12 more
core   +1 more source

Integrated Silicon Photonics Remote Radio Frontend (RRF) for Single-Sideband (SSB) Millimeter-Wave Radio-Over-Fiber (ROF) Systems

IEEE Photonics Journal, 2019
Radio-over-fiber (ROF)-based mobile fronthaul network supporting the baseband unit and simple remote radio head is a promising network architecture for future wireless networks.
Yeyu Tong, Chi-Wai Chow, Guan-Hong Chen, Ching-Wei Peng, Chien-Hung Yeh, Hon Ki Tsang   +5 more
doaj   +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

Optimized Precoding for MU-MIMO With Fronthaul Quantization

, 2023
One of the first widespread uses of multi-user multiple-input multiple-output (MU-MIMO) is in 5G networks, where each base station has an advanced antenna system (AAS) that is connected to the baseband unit (BBU) with a capacity-constrained fronthaul. In
Björnson, Emil,, Khorsandmanesh, Yasaman,, Jaldén, Joakim,   +2 more
core   +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

Access Point Selection and Localization for Cluster‐Based Realization of a Device‐to‐Device Cell‐Free 6G Communications Network

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, Marios Raspopoulos, Prabagarane Nagaradjane, Christophoros Christophorou, Andreas Gregoriades, Vasos Vassiliou   +5 more
wiley   +1 more source

Downlink Power Control for Cell‐Free Massive MIMO System With Radio Stripes

Electronics Letters, Volume 61, Issue 1, January/December 2025.
This paper investigates downlink power control in cell‐free massive multiple‐input multiple‐output systems utilizing radio stripes, a cost‐effective fronthaul topology. An AP switching technique is proposed to enhance spectral efficiency, followed by the formulation of a weighted sum‐rate maximization problem considering QoS, transmit power, and user ...
Yisong Fu, Linlin Xu, Yijie Chen, Wenchao Xia   +3 more
wiley   +1 more source

An improved affinity propagation method for maximising system sum rate and minimising interference for 3D multi‐UAV placement in disaster area

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, Farhad Faghani, Mahmoud Daneshvar Farzanegan   +2 more
wiley   +1 more source

5G-XHaul:A Novel Wireless-Optical SDN Transport Network to Support Joint 5G Backhaul and Fronthaul Services [PDF]

, 2019
The increased carrier bandwidth and the number of antenna elements expected in 5G networks require a redesign of the traditional IP-based backhaul and CPRI-based fronthaul interfaces used in 4G networks.
Tzanakaki, Anna, Gonzalez, R, Bartelt, Jens, Giatsios, D, Camps Mur, Daniel, Flegkas, Paris, Simeonidou, Dimitra, Gutierrez, J, Zou, J, Diallo, Thierno, Chaudhary, Jay Kant, Aleixendri, J. J., Legg, Peter, Farhadi Beldachi, Arash, Beltzler, A, Choumas, Kostas   +15 more
core   +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, Faustin Samafou, Arouna Ndam Njoya, Assidé Christian Djedouboum, Moussa Aboubakar, Alidou Mohamadou   +5 more
wiley   +1 more source