Digital Transformation VIA 5G: Deployment Plans

Zakeri, Abolfazl; Gholipoor, Narges; Tajallifar, Mohsen; Ebrahimi, Sina; Javan, Mohammad Reza; Mokari, Nader; Sharafat, Ahmad R.

doi:10.23919/ituk50268.2020.9303177

Cited by 8 publications

(14 citation statements)

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“…We've started general OFDM signal equations to get back to F-OFDM acceptable mathematical models. The following is a representation of a general OFDM signal [2][3][4][5][6][7][8][9][10][11][12]. A block diagram of an F-OFDM transceiver is shown in Figure 1.…”

Section: Mathematical Models Of F-ofdmmentioning

confidence: 99%

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F-OFDM in a novel form for analyzing 5G networks

Amertet

2022

J. Info. Tech. Comp.

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The need for internet of things (IoT) and machine-to-machine communication (MTC) has been growing rapidly all across the world. To meet the client's needs, many literature reviews were undertaken in several countries. Orthogonal frequency division multiplexing (OFDM), Universal Filtered Multi-Carrier (UFMC), filter-bank multicarrier offset construction amplitude modulation (FBMC-OQAM), generalized frequency division multiplexing (GFDM), and others are candidates for LTE, LTE advance, and 5G, according to the majority of the researchers. However, because it is sensitive to propagation and noise, such as amplitude, with a huge dynamic range, it requires RF power amplifiers with a high peak to average power quantitative relationship; consequently, it is not recommended for LTE, LTE advance, or 5G. As a result, the same concerns were addressed by introducing innovative type filtered orthogonal frequency division multiplexing (F- OFDM), which was the subject of this study. In addition, F-OFDM mathematical models were constructed and simulated in the MATLAB software environment. To validate the proposed innovative F-OFDM, OFDM was compared. For innovative F-OFDM, the simulated result was 0.00083333 bit error rate (BER). Furthermore, the bit error rate (BER) of F-OFDM over OFDM was 89.4 percent, and the peak to average power ratio was 17 percent. The simulation results unmistakably show that the suggested innovative F-OFDM is the greatest fit for LTE, LTE advanced, and 5G contenders.

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Section: Mathematical Models Of F-ofdmmentioning

confidence: 99%

“…In addition to the majority of wireless technologies, IEEE 802.11 and IEEE 802. 16, long-term evolution superior (LTE-superior), and 5G are all available [5][6][7]. The intensely spaced orthogonal subcarriers separate the available bandwidth into a collection of slender subcarriers due to the merits of orthogonality [8], [9].…”

Section: Introductionmentioning

confidence: 99%

F-OFDM in a novel form for analyzing 5G networks

Amertet

2022

J. Info. Tech. Comp.

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“…Besides, to realize PFR, the DRL agent 3 , should access all relevant and necessary information of underlying physical/virtual network to make appropriate decisions in each state 2 Recently, fifth generation of wireless networks is deployed and its evolution towards 6G has been started [9]. 3 In our network the DRL agent is the network orchestrator.…”

Section: A Motivation and State Of The Artmentioning

confidence: 99%

“…where κ s v (t) is defined as constant 9 . Its value depends on the VNF v and its state s at time slot t. For example, if VNF is in warning state, κ s v (t) ≤ q v × δ should be satisfied to guarantee necessary data freshness.…”

Section: Failure Modelmentioning

confidence: 99%

Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach

Shaghaghi,

Zakeri,

Mokari

et al. 2021

Preprint

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Zero-touch network and service management (ZSM) concept introduced by European Telecommunications Standards Institute (ETSI) is a promising solution for full automation in ultra-reliable and ultra-responsive future networks such as sixth generation (6G). The ZSM is an ongoing study by the ETSI and to realized it, machine learning (ML) and network softwarization are indispensable. Despite flexibility and resource efficiency, softwarized networks are vulnerable to various faults and problems such as physical node failure or software malfunctions.

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“…Eduard A. Jorswieck is with Institute for Communications Technology, TU Braunschweig, Germany, Email: jorswieck@ifn.ing.tubs.de. 1 Recently, fifth generation of wireless networks is deployed and its evolution towards 6G has been started [2].…”

Section: A Motivations and State Of The Artmentioning

confidence: 99%

Robust Energy-Efficient Resource Management, SIC Ordering, and Beamforming Design for MC MISO-NOMA Enabled 6G

Zakeri,

Khalili,

Javan

et al. 2021

Preprint

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This paper studies a novel approach for successive interference cancellation (SIC) ordering and beamforming in a multiple antennas non-orthogonal multiple access (NOMA) network with multi-carrier multi-user setup. To this end, we formulate a joint beamforming design, subcarrier allocation, user association, and SIC ordering algorithm to maximize the worst-case energy efficiency (EE). The formulated problem is a non-convex mixed integer non-linear programming (MINLP) which is generally difficult to solve. To handle it, we first adopt the linearizion technique as well as relaxing the integer variables, and then we employ the Dinkelbach algorithm to convert it into a more mathematically tractable form. The adopted non-convex optimization problem is transformed into an equivalent rank-constrained semidefinite programming (SDP) and is solved by SDP relaxation and exploiting sequential fractional programming. Furthermore, to strike a balance between complexity and performance, a low complex approach based on alternative optimization is adopted. Numerical results unveil that the proposed SIC ordering method outperforms the conventional existing works addressed in the literature.

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Digital Transformation VIA 5G: Deployment Plans

Cited by 8 publications

References 0 publications

F-OFDM in a novel form for analyzing 5G networks

F-OFDM in a novel form for analyzing 5G networks

Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach

Robust Energy-Efficient Resource Management, SIC Ordering, and Beamforming Design for MC MISO-NOMA Enabled 6G

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