5G Optimized Caching and Downlink Resource Sharing for Smart Cities

Vo, Nguyen-Son; Duong, Trung Q.; Guizani, Mohsen; Kortun, Ayse

doi:10.1109/access.2018.2839669

Cited by 51 publications

(26 citation statements)

References 46 publications

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“…According to (2) and (5), the objective of this tracking problem is to find s k and v k which maximize the a posterior probability p (s k , v k |z 1:k ), where (•) 1:k denotes the data series from timing 1 to k. The marginal function of…”

Section: A Fg-ekfmentioning

confidence: 99%

Integrated Factor Graph Algorithm for DOA-Based Geolocation and Tracking

2020

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This paper proposes a new position tracking algorithm by integrating extended Kalman filter (EKF) and direction-of-arrival (DOA)-based geolocation into one factor graph (FG) framework. A distributed sensor network is assumed for detecting an anonymous target, where the process and observation equations in the state space model (SSM) are unknown. Importantly, the predicted state information can be utilized not only for filtering, but also for enhancing the observation process. To be specific, by taking the prediction into account as the a priori, a new FG scheme is proposed for GEolocation, denoted by FG-GE. The benefits are twofold , compared with the conventional geolocation scheme which does not rely on the a priori information. First of all, significant performance improvement can be observed, in terms of the root mean square error (RMSE), when severe sensing errors are suddenly encountered. Furthermore, the proposed FG-GE can achieve dramatic reduction of computational complexity. In addition, this paper also proposes the use of a predicted Cramer-Rao lower bound (P-CRLB) to dynamically estimate the observation error variance, which demonstrates more robust tracking performance than that with only fixed average variance approximation. INDEX TERMS Factor graph (FG), direction of arrival (DOA), extended Kalman filter (EKF), geolocation, tracking, complexity analysis, CRLB.

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Section: A Fg-ekfmentioning

confidence: 99%

Integrated Factor Graph Algorithm for DOA-Based Geolocation and Tracking

2020

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“…This is attributed to the asymptotic disappearance of intra cell interference, fast fading and irrelevant noise from the M engine. Favorable propagation is capable of yielding significant EE gains, because it allows the realization of multiple orders of multiplexing and array gains [11][12][13] Millimeter Wave in UDN. By means of Mm Wave communication, high bandwidth is offered, there by increasing the data rate.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of wireless data traffic in Mm wave massive MIMO communication

Al-Heety

Islam

Rashid

et al. 2020

IJEECS

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<span>Due to the evaluation of mobile devices and applications in the current decade, a new direction for wireless networks has emerged. The general consensus about the future 5G network is that the following should be taken into account; the purpose of thousand-fold system capacity, hundredfold energy efficiency, lower latency, and smooth connectivity. The massive multiple-input multiple-output (MIMO), as well as the Millimeter wave (mm Wave) have been considered in the ultra-dense cellular network (UDN), because they are viewed as the emergent solution for the next generations of communication. This article focuses on evaluating and discussing the performance of mm Wave massive MIMO for ultra-dense network, which is one of the major technologies for the 5G wireless network. More so, the energy efficiencies of two kinds of architectures for wireless backhaul networks were investigated and compared in this article. The results of the simulation revealed some points that should be considered during the deployment of small cells in the two architectures UDN with backhaul network capacity and backhaul energy efficiency, that the changing the frequency bands in Distribution approach gives the same energy efficiency reached to 600 Mb/s at 15 nodes while the Conventional approach results reached less than 100 Mb/s at the same number of nodes.</span>

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“…In recent years, the academic and industrial fields have paid close attention to the smart city [1]- [3]. The smart city has various applications, such as smart healthcare, smart transportation, and smart homes [4]. The mobile communication plays an important role to achieve these smart applications via massive deployment of physical objects, such as sensors, controllers, and actuators [5]- [8].…”

Section: Introductionmentioning

confidence: 99%

Physical Layer Security Performance of Wireless Mobile Sensor Networks in Smart City

Wang

Lin

et al. 2019

IEEE Access

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In smart cities, the ubiquitous network connections and high data rate services are provided to afford effective service of real-time monitoring and responses. With the development of the 5G mobile communication technology, the wireless sensor mobile communication networks in the smart city have become a hot issue for academic researches. Due to the openness of wireless channels, the physical layer security of the wireless mobile sensor mobile communication networks in smart city encounters severe challenges. In this paper, based on Wyner's wiretap model, the secrecy performance of the wireless mobile sensor communication networks over 2-Nakagami fading channels is investigated. We derive the exact secure outage probability (SOP) and the probability of strictly positive secrecy capacity expressions for two transmit antenna selection (TAS) schemes. The exact closed-form expressions for the lower bound on the SOP are also derived using the optimal TAS scheme. Then, the system secrecy performance is verified and analyzed by Monte Carlo simulations under different conditions. The simulation results show that the analytical results match perfectly with the Monte Carlo simulation results. Increasing the number of transmit antennas can improve secrecy performance. INDEX TERMS Smart city, wireless mobile sensor networks, physical layer security, secure outage probability, probability of strictly positive secrecy capacity, transmit antenna selection.

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5G Optimized Caching and Downlink Resource Sharing for Smart Cities

Cited by 51 publications

References 46 publications

Integrated Factor Graph Algorithm for DOA-Based Geolocation and Tracking

Integrated Factor Graph Algorithm for DOA-Based Geolocation and Tracking

Performance evaluation of wireless data traffic in Mm wave massive MIMO communication

Physical Layer Security Performance of Wireless Mobile Sensor Networks in Smart City

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