Energy efficiency techniques in ultra-dense wireless heterogeneous networks: An overview and outlook

Alamu, Olumide; Gbenga-Ilori, Abiodun; Adelabu, Michael Adedosu; Imoize, Agbotiname Lucky; Ladipo, Oluwabusayo

doi:10.1016/j.jestch.2020.05.001

Cited by 66 publications

(41 citation statements)

References 172 publications

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“…Cell-free Massive MIMO has significantly outperformed existing small-cell systems throughput and more resistant to shadow fading correlation [ 68 ]. Massive MIMO was proposed by Alamu et al [ 209 ] to improve Energy Efficiency and Spectral Efficiency. Utilizing spatial multiplexing in Massive MIMO allows multiple users to share spectrum resources efficiently.…”

Section: Enabling Technologies and Challenges For 6gmentioning

confidence: 99%

6G Enabled Smart Infrastructure for Sustainable Society: Opportunities, Challenges, and Research Roadmap

Imoize

Adedeji

Tandiya

et al. 2021

Sensors

178

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The 5G wireless communication network is currently faced with the challenge of limited data speed exacerbated by the proliferation of billions of data-intensive applications. To address this problem, researchers are developing cutting-edge technologies for the envisioned 6G wireless communication standards to satisfy the escalating wireless services demands. Though some of the candidate technologies in the 5G standards will apply to 6G wireless networks, key disruptive technologies that will guarantee the desired quality of physical experience to achieve ubiquitous wireless connectivity are expected in 6G. This article first provides a foundational background on the evolution of different wireless communication standards to have a proper insight into the vision and requirements of 6G. Second, we provide a panoramic view of the enabling technologies proposed to facilitate 6G and introduce emerging 6G applications such as multi-sensory–extended reality, digital replica, and more. Next, the technology-driven challenges, social, psychological, health and commercialization issues posed to actualizing 6G, and the probable solutions to tackle these challenges are discussed extensively. Additionally, we present new use cases of the 6G technology in agriculture, education, media and entertainment, logistics and transportation, and tourism. Furthermore, we discuss the multi-faceted communication capabilities of 6G that will contribute significantly to global sustainability and how 6G will bring about a dramatic change in the business arena. Finally, we highlight the research trends, open research issues, and key take-away lessons for future research exploration in 6G wireless communication.

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Section: Enabling Technologies and Challenges For 6gmentioning

confidence: 99%

6G Enabled Smart Infrastructure for Sustainable Society: Opportunities, Challenges, and Research Roadmap

Imoize

Adedeji

Tandiya

et al. 2021

Sensors

178

View full text Add to dashboard Cite

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“…The channel matrix in (1) includes antenna-type effects, configuration, orientation, and frequency filtering. This knowledge could be instrumental in formulating a general multiple input multiple output relationship between the lengthm transmit signal vector sðtÞ and the lengthn receive signal vector yðtÞ given in (2).…”

Section: The General Mimo Channel Modelmentioning

confidence: 99%

“…The widespread adoption of these devices places a stringent requirement on the existing wireless network infrastructure to be strengthened in terms of robustness, capacity, and coverage to meet the rapidly growing mobile services demands. Currently, wireless network service improvements require the aggressive deployment of dense access points to increase the spectral efficiency (SE) and energy efficiency (EE) [1,2].…”

Section: Introductionmentioning

confidence: 99%

Standard Propagation Channel Models for MIMO Communication Systems

Imoize

Ibhaze

Atayero

et al. 2021

Wireless Communications and Mobile Computing

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The field of wireless communication networks has witnessed a dramatic change over the last decade due to sophisticated technologies deployed to satisfy various demands peculiar to different data-intensive wireless applications. Consequently, this has led to the aggressive use of the available propagation channels to fulfill the minimum quality of service (QoS) requirement. A major barometer used to gauge the performance of a wireless communication system is the spectral efficiency (SE) of its communication channels. A key technology used to improve SE substantially is the multiple input multiple output (MIMO) technique. This article presents a detailed survey of MIMO channel models in wireless communication systems. First, we present the general MIMO channel model and identified three major MIMO channel models, viz., the physical, analytical, and standardized models. The physical models describe the MIMO channel using physical parameters. The analytical models show the statistical features of the MIMO channel with respect to the measured data. The standardized models provide a unified framework for modern radio propagation architecture, advanced signal processing, and cutting-edge multiple access techniques. Additionally, we examined the strengths and limitations of the existing channel models and discussed model design, development, parameterization, implementation, and validation. Finally, we present the recent 3GPP-based 3D channel model, the transitioning from 2D to 3D channel modeling, discuss open issues, and highlight vital lessons learned for future research exploration in MIMO communication systems.

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“…During this time, nodes do not perform any valuable tasks while the energy used up is wasted. Hence, the energy available is expended during transmission, reception, and idle operation [33]…”

Section: Wireless Sensor Network Challengesmentioning

confidence: 99%

Blockchain-Based Wireless Sensor Networks for Malicious Node Detection: A Survey

et al. 2021

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Wireless Sensor Networks (WSNs) are broadly applied for various applications in tracking and surveillance due to their ease of use and other distinctive characteristics compelled by real-time cooperation among the sensor nodes. In WSNs, security is becoming a critical issue, as the techniques for malicious node detection adopt a one-time, centralized decision-making approach. With this paradigm, errors are difficult to avoid, and reproducibility and traceability are challenging. Hence, malicious node discovery technologies in conventional WSNs cannot assure traceability and fairness of the detection method. Herein, this paper discusses an in-depth survey of a blockchain-based approach for malicious node detection, an exhaustive examination of the integration of blockchain techniques with WSNs (BWSN), and insights into this novel concept. This survey discusses the architecture, sector-wise applications, and uses of BWSN. Moreover, this survey describes malicious node detection based on BWSN in two parts: 1) the BWSN architecture for detecting the malicious nodes and 2) the smart contract aspects in malicious node detection. Next, this survey explains the contributions of blockchain for WSN data management, which involves online information aggregation and may include auditing, event logs, and storage for information analysis and offline query processing. This survey first presents the conventional WSN solutions then the blockchain-based WSN solutions for data management. Additionally, this survey discusses the contributions of blockchain for WSN security management. It first examines the centralized WSN models for security problems, followed by a discussion of the blockchain-based WSN solutions for security management, such as offering access control, preserving information integrity, guaranteeing privacy, and ensuring WSNs' node longevity.

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Energy efficiency techniques in ultra-dense wireless heterogeneous networks: An overview and outlook

Cited by 66 publications

References 172 publications

6G Enabled Smart Infrastructure for Sustainable Society: Opportunities, Challenges, and Research Roadmap

6G Enabled Smart Infrastructure for Sustainable Society: Opportunities, Challenges, and Research Roadmap

Standard Propagation Channel Models for MIMO Communication Systems

Blockchain-Based Wireless Sensor Networks for Malicious Node Detection: A Survey

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