Evaluation of the rate of the data transfer between vehicles and base stations in wireless networks

2012 ◽  
Vol 46 (2) ◽  
pp. 76-82 ◽  
Author(s):  
A. Ipatovs ◽  
N. Bogdanov ◽  
E. Petersons
2007 ◽  
Vol 115 (3) ◽  
pp. 416-424 ◽  
Author(s):  
Peter A. Valberg ◽  
T. Emilie van Deventer ◽  
Michael H. Repacholi

2021 ◽  
Vol 20 (4) ◽  
pp. 32-37
Author(s):  
Dominik NEZNÍK ◽  
◽  
Ľubomír DOBOŠ

In this paper, will be presented actual research of the intelligent channel allocation. The intelligent channel allocation is based on combination of fuzzy logic method and game theory attributes to increase quality of link in network. The channel allocations will become an important phenomenon in different types of networks such as 5G technology, wireless networks (IEEE 802.11xx), Z-Wave, LoRa, 3G, 4G, etc. In the near future, new network technologies, Internet of Things (IoT) and Smart Cities will need to have intelligent channel allocation to prevent interference on the channels used for data transfer. These networks along with IoT are considered as promising technology, that interconnects different types of networks into one fully functional network. The aim of this paper is to present the concept of a methods for channel allocation in wireless networks, where channels work as communication medium based on IEEE 802.11xx technology. The simulations prove, that proposed method is able to provide lower interference, improve data rates and increase quality of links.


2021 ◽  
Vol 1 (132) ◽  
pp. 136-144
Author(s):  
Volodymyr Khandetskyi ◽  
Dmutro Sivtsov ◽  
Kostjantun Panin

Analysis of new technologies IEEE 802.11ac/ax of wireless networks showed that increasing their noise immunity is an actual task. The article studies the efficiency of fragmented data frames transmission. Comparison of the efficiencies in the case of retransmission of the corrupted original frame and in the case of its fragmentation in a wide range of the physical data transfer rates is carried out.


2021 ◽  
Vol 68 (1) ◽  
Author(s):  
Hope Ikoghene Obakhena ◽  
Agbotiname Lucky Imoize ◽  
Francis Ifeanyi Anyasi ◽  
K. V. N. Kavitha

AbstractIn recent times, the rapid growth in mobile subscriptions and the associated demand for high data rates fuels the need for a robust wireless network design to meet the required capacity and coverage. Deploying massive numbers of cellular base stations (BSs) over a geographic area to fulfill high-capacity demands and broad network coverage is quite challenging due to inter-cell interference and significant rate variations. Cell-free massive MIMO (CF-mMIMO), a key enabler for 5G and 6G wireless networks, has been identified as an innovative technology to address this problem. In CF-mMIMO, many irregularly scattered single access points (APs) are linked to a central processing unit (CPU) via a backhaul network that coherently serves a limited number of mobile stations (MSs) to achieve high energy efficiency (EE) and spectral gains. This paper presents key areas of applications of CF-mMIMO in the ubiquitous 5G, and the envisioned 6G wireless networks. First, a foundational background on massive MIMO solutions-cellular massive MIMO, network MIMO, and CF-mMIMO is presented, focusing on the application areas and associated challenges. Additionally, CF-mMIMO architectures, design considerations, and system modeling are discussed extensively. Furthermore, the key areas of application of CF-mMIMO such as simultaneous wireless information and power transfer (SWIPT), channel hardening, hardware efficiency, power control, non-orthogonal multiple access (NOMA), spectral efficiency (SE), and EE are discussed exhaustively. Finally, the research directions, open issues, and lessons learned to stimulate cutting-edge research in this emerging domain of wireless communications are highlighted.


2021 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Smys S ◽  
Wang Haoxiang

Various industrial, scientific and commercial processes involve wireless mesh networks in the recent days. These technologies improve communication technology to a large extent which has led to an increase in utilization of these systems in various fields. In application with intense and complex data flow, improving the quality of service (QoS) has been a challenge and a focus of research leading to more advanced wireless communication systems. This paper provides a novel optimization algorithm for improving the QoS in hybrid wireless networks while preventing malware and routing attacks. The concept of QoS and hybrid wireless networks are examined at the initial stage. Further, the algorithm for optimizing the service quality in the network is proposed accordingly. The ability of data transfer is benefited by data packets in this algorithm. Load distribution is performed such that overcrowding is prevented and information routing is done efficiently though the nodes. Delay or routing is created and control messages are sent for withholding data when certain nodes are overcrowded. This reduces the delay created by overcrowding by 50% while maintaining the permittivity.


2013 ◽  
Vol 12 (11) ◽  
pp. 2193-2205 ◽  
Author(s):  
Changqiao Xu ◽  
Tianjiao Liu ◽  
Jianfeng Guan ◽  
Hongke Zhang ◽  
Gabriel-Miro Muntean

2018 ◽  
Vol 7 (3.34) ◽  
pp. 97 ◽  
Author(s):  
S Duraimurugan ◽  
P Jesu Jayarin

Now a days, most of the data is transmitted between two devices using Wireless network. Although this has made it easier to transmit data, it also has its disadvantages. One of its disadvantage being the irregular data transfer due to the presence of congestion in the intermediate nodes. This paper proposes an idea to overcome the said disadvantage by developing a priority based proactive buffer management for the wireless network through the use of buffer which will be maintained at the source. The buffer is used to regulate the transmission rate of the data packets in accordance with the congestion level which is present in the transmission path. For faster transmission, the data packets having high priority are transmitted while the data packets having lower priority are dropped thereby reducing the quantity of data packets being transmitted, hence overcoming the problem of congestion. 


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