Potential of sixth‐generation technologies for emerging future wireless networks

Jeon, Gwanggil; Bellandi, Valerio; Chehri, Abdellah; Albertini, Marcelo Keese

doi:10.1002/ett.4480

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…A variety of current and emerging wireless-related applications make the fifth generation (5G), beyond 5G and Internet-of-Things (IoT) attractive domains, which enable a growing number of physical objects to be connected to the internet with high data rates. [1][2][3][4] Technologies such as WiFi/IEEE 802.11 which are envisioned to be a part of IoT implementation, operate in non-licensed bands and are becoming increasingly congested everyday. [5][6][7] Additionally, it is of utmost importance in an IoT network to ensure that it is capable of handling traffic with numerous wireless nodes connected to the internet.…”

Section: Introductionmentioning

confidence: 99%

Non‐orthogonal multiple access‐aided MIMO cognitive radio networks with selective reporting

Yasrab

Kishore²,

Gurugopinath

2022

Trans Emerging Tel Tech

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In this article, we investigate the performances of conventional cooperative sensing (CCS)‐ and superior selective reporting (SSR)‐based cooperative sensing schemes in a multiple‐input, multiple‐output (MIMO)‐aided non‐orthogonal multiple access (NOMA)‐driven cognitive radio (CR) networks. First, we derive expressions for the probabilities of false‐alarm and signal detection for an optimal detector in the considered MIMO‐NOMA CR setup. Next, we study a constrained optimization problem that maximizes the sum rates of CCS and SSR schemes, with a constraint on the power allocation at SUs. This problem is shown to be a constrained convex optimization problem. Later, we analytically characterize and compare the sum rate performances of CCS and SSR schemes in MIMO‐NOMA CR and MIMO‐based orthogonal multiple access (MIMO‐OMA) CR networks. Extensive computer simulation results are presented which corroborate our analysis, which also quantifies the gain in performance of the proposed MIMO‐NOMA CR network employing SSR scheme when compared to conventional MIMO‐OMA CR systems. Furthermore, we present an experimental study based on RTL‐SDR setup, which supports our theory and also paves way towards a practical implementation of the proposed framework.

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Section: Introductionmentioning

confidence: 99%

Non‐orthogonal multiple access‐aided MIMO cognitive radio networks with selective reporting

Yasrab

Kishore²,

Gurugopinath

2022

Trans Emerging Tel Tech

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A Novel Video Propagation Strategy Fusing User Interests and Social Influences Based on Assistance of Key Nodes in Social Networks

Jia

Wang

et al. 2023

Electronics

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Accurate video launching and propagation is significant for promotion and distribution of videos. In this paper, we propose a novel video propagation strategy that fuses user interests and social influences based on the assistance of key nodes in social networks (VPII). VPII constructs an estimation model for video distribution capacities in the process of video propagation by investigating interest preference and influence of social users: (1) An estimation method of user preferences for video content is designed by integrating a comparative analysis between current popular videos and historical popular videos. (2) An estimation method to determine the distribution capacities of videos is designed according to scale and importance of neighbor nodes covered. VPII further designs a multi-round video propagation strategy with the assistance of the selected key nodes, which enables these nodes to implement accurate video launching by estimating weighted levels based on available bandwidth and node degree centrality. The video propagation can effectively promote the scale and speed of video sharing and efficiently utilize network resources. Simulations-based testing shows how VPII outperforms other state-of-the-art solutions in terms of startup delay, caching hit ratio, caching cost and higher control overhead.

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Potential of sixth‐generation technologies for emerging future wireless networks

Cited by 2 publications

References 5 publications

Non‐orthogonal multiple access‐aided MIMO cognitive radio networks with selective reporting

Non‐orthogonal multiple access‐aided MIMO cognitive radio networks with selective reporting

A Novel Video Propagation Strategy Fusing User Interests and Social Influences Based on Assistance of Key Nodes in Social Networks

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