scholarly journals Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

2020 ◽  
Vol 2020 ◽  
pp. 1-19 ◽  
Author(s):  
Joshua Onyeka Ogbebor ◽  
Agbotiname Lucky Imoize ◽  
Aderemi Aaron-Anthony Atayero
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Energy Efficient ◽  
Communication Systems ◽  
High Energy ◽  
Wireless Communication Networks ◽  
Paradigm Shifts ◽  
Efficient Design ◽  
Wireless Communication Network ◽  
Context Specific

The projected rise in wireless communication traffic has necessitated the advancement of energy-efficient (EE) techniques for the design of wireless communication systems, given the high operating costs of conventional wireless cellular networks, and the scarcity of energy resources in low-power applications. The objective of this paper is to examine the paradigm shifts in EE approaches in recent times by reviewing traditional approaches to EE, analyzing recent trends, and identifying future challenges and opportunities. Considering the current energy concerns, nodes in emerging wireless networks range from limited-energy nodes (LENs) to high-energy nodes (HENs) with entirely different constraints in either case. In view of these extremes, this paper examines the principles behind energy-efficient wireless communication network design. We then present a broad taxonomy that tracks the areas of impact of these techniques in the network. We specifically discuss the preponderance of prediction-based energy-efficient techniques and their limits, and then discuss the trends in renewable energy supply systems for future networks. Finally, we recommend more context-specific energy-efficient research efforts and cross-vendor collaborations to push the frontiers of energy efficiency in the design of wireless communication networks.

Mobile Commerce and the Evolving Wireless Technologies

2011 ◽  
pp. 2580-2583
Author(s):  
Pouwan Lei ◽  
Jia Jia Wang
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Mobile Communication ◽  
Communication Systems ◽  
Smart Phone ◽  
Local Area ◽  
Handheld Devices ◽  
The Internet ◽  
Wireless Services ◽  
Wireless Communication Network

The mobile phone industry has experienced an explosive growth in recent years. The emerging markets such as China, India, and Brazil contribute this growth. In China, the number of mobile subscribers has already surpassed the number of fixed landline phone subscribers. In Korea and Japan, there is an explosion of mobile and wireless services. The United States are joining too and there were 207.9 million subscribers in 2005 (CTIA, 2006). Mobile e-commerce (m-commerce) makes business mobility a reality; mobile users could access the Internet at any time, from anywhere with handheld devices or laptop. A 3G enabled smart phone enables you to access a wide range of services anywhere and anytime. For example, you can send and receive e-mail, make cinema and restaurant reservations and pay for them, check real train time, look at digital maps, download music and games, and also browse the Internet. Mobile and wireless services are ranging from mobile communication networks to wireless local area networks. The service provided by mobile communication systems has achieved huge success as mobile and wireless communication technologies are converging at fast speed. We will study mobile and wireless communication in relation to mobile phones. Hence, m-commerce is defined as electronic commerce carried out in handheld devices such as smart phone through mobile and wireless communication network.

scholarly journals Energy-efficient blockchain implementation for Cognitive Wireless Communication Networks (CWCNs)

2021 ◽  
Author(s):  
Premkumar Chithaluru ◽  
Fadi Al-Turjman ◽  
Thompson Stephan ◽  
Manoj Kumar ◽  
Leonardo Mostarda
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Energy Efficient ◽  
Wireless Communication Networks

Discussion on the Measures for Enhancing the Signals of Wireless Communication Network Sites

2013 ◽  
Vol 416-417 ◽  
pp. 1595-1599
Author(s):  
Wei Hua Ma
Keyword(s):  
Communication Network ◽  
Wireless Communication ◽  
Communication Networks ◽  
Signal Transmission ◽  
Wireless Communication Networks ◽  
Communication Service ◽  
Future Studies ◽  
Transmission Process ◽  
Wireless Communication Network ◽  
Factors Influencing

Because of the large span of the distance between wireless communication networks, many kinds of interference are encountered in the network signal transmission process, so that the accuracy of receiving the information is affected by the weakened signals and also the communication service quality for the users is reduced. Under this background, the advantages such as remoteness and convenience of wireless communication are first introduced. In the meantime, the factors influencing the signals of the wireless communication network are affected. Finally, the measures for enhancing the signals of the wireless communication network sites are proposed. It is expected that this paper is helpful for the future studies.

Special issue on energy-efficient wireless communication networks with QoS

2015 ◽  
Vol 30 (2) ◽  
pp. e3017
Author(s):  
Victor C. M. Leung ◽  
Shihab Jimaa ◽  
Peng-Yong Kong ◽  
Michael Chai
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Energy Efficient ◽  
Wireless Communication Networks ◽  
Special Issue

scholarly journals Massive MIMO Channel Models: A Survey

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Kan Zheng ◽  
Suling Ou ◽  
Xuefeng Yin
Keyword(s):  
Wireless Communication ◽  
Antenna Array ◽  
Communication Networks ◽  
Massive Mimo ◽  
Communication Systems ◽  
Channel Model ◽  
Spectrum Efficiency ◽  
Mimo Channel ◽  
Wireless Communication Networks ◽  
Channel Models

The exponential traffic growth of wireless communication networks gives rise to both the insufficient network capacity and excessive carbon emissions. Massive multiple-input multiple-output (MIMO) can improve the spectrum efficiency (SE) together with the energy efficiency (EE) and has been regarded as a promising technique for the next generation wireless communication networks. Channel model reflects the propagation characteristics of signals in radio environments and is very essential for evaluating the performances of wireless communication systems. The purpose of this paper is to investigate the state of the art in channel models of massive MIMO. First, the antenna array configurations are presented and classified, which directly affect the channel models and system performance. Then, measurement results are given in order to reflect the main properties of massive MIMO channels. Based on these properties, the channel models of massive MIMO are studied with different antenna array configurations, which can be used for both theoretical analysis and practical evaluation.

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