Channel Capacity in a Dynamic Random Waypoint Mobility Model

Rabee, Faeik T. Al; Al-Rimawi, Ashraf; Gitlin, Richard D.

doi:10.1109/uemcon.2018.8796645

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…The average received power Ω in (1) and (2) follows the classical exponential path-loss model and depends on the relative distance r between the transmitter and the receiver [36].…”

Section: A Channel Model Between Serving Bs and Probe Msmentioning

confidence: 99%

Performance Analysis of Dynamic Downlink PPP Cellular Networks Over Generalized Fading Channels With MRC Diversity

et al. 2021

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This paper proposes novel and generalized expressions to characterize the performance of modern cellular networks under realistic user mobility behavior. The η-µ distribution is employed to derive the received power probability density function, the average bit error rate for different modulation schemes, and the coverage probability assuming a Poisson point process spatial distribution of base stations in downlink. The user is assumed to experience fading with Maximum Ratio Combining (MRC) and move according to a random way-point mobility model. To get more insights on the achivable diversity order, accurate asymptotic expressions for the coverage probability and average bit error rate are derived. The derived expressions are applicable to different widely-used fading environments, such as Rayleigh and Nakagami-m as particular cases, by an appropriate selection of the η-µ parameters. Monte Carlo simulation was used to show the validity of the proposed expressions. In addition, the generalized expressions allow the system designer to quantify the effects of user mobility on the cellular network performance, in different propagation environments, and network topologies as a function of the number of base stations and MRC branches.

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“…The average received power Ω in (1) and (2) follows the classical exponential path-loss model and depends on the relative distance r between the transmitter and the receiver [36].…”

Section: A Channel Model Between Serving Bs and Probe Msmentioning

confidence: 99%

Performance Analysis of Dynamic Downlink PPP Cellular Networks Over Generalized Fading Channels With MRC Diversity

et al. 2021

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Section: Configurationmentioning

confidence: 99%

“…According to the size and operating frequency of the BSs, blue dots in Figure 1 indicate macrostations, whereas green dots indicate SC eNBs. UEs are randomly distributed in the working area, and the random waypoint model [12] is used to describe changes in their position, speed, and acceleration over time. Each cell's coverage type and UE motion track are shown in Figure 1.…”

Section: System Modelmentioning

confidence: 99%

A novel heuristic for handover priority in mobile heterogeneous networks based on a multimodule Takagi–Sugeno–Kang fuzzy system

2022

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H2RDC (heuristic handover based on RCC‐DTSK‐C), a heuristic algorithm based on a highly interpretable deep Takagi–Sugeno–Kang fuzzy classifier, is proposed for suppressing the mobile heterogeneous networks problem of frequent handover and handover ping‐pong in the multibase‐station scenario. This classifier uses a stack structure between subsystems to form a deep classifier before generating a base station (BS) priority sequence during the handover process, and adaptive handover hysteresis is calculated. Simulation results show that H2RDC allows user equipment to switch to the best antenna at the optimal time. In high‐BS density load and mobility scenarios, the proposed algorithm's handover success rate is similar to those of classic algorithms such as best connection (BC), self tuning handover algorithm (STHA), and heuristic for handover based on AHP‐TOPSIS‐FUZZY (H2ATF). Moreover, the handover rate is 83% lower under H2RDC than under BC, whereas the handover ping‐pong rate is 76% lower.

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Mobility Models and the Performance of Location-based Routing in VANETs

Jabbar

Malaney

2020

2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)

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Channel Capacity in a Dynamic Random Waypoint Mobility Model

Cited by 3 publications

References 27 publications

Performance Analysis of Dynamic Downlink PPP Cellular Networks Over Generalized Fading Channels With MRC Diversity

Performance Analysis of Dynamic Downlink PPP Cellular Networks Over Generalized Fading Channels With MRC Diversity

A novel heuristic for handover priority in mobile heterogeneous networks based on a multimodule Takagi–Sugeno–Kang fuzzy system

Mobility Models and the Performance of Location-based Routing in VANETs

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