SmartMobility, an Application for Multiple Integrated Transportation Services in a Smart City

Lai, Cristian; Boi, Francesco; Buschettu, Alberto; Caboni, Renato

doi:10.5220/0008066600580067

Cited by 4 publications

(2 citation statements)

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“…Owing to the shrinking cell size, inter-cell interference is of gradual importance because the system performance is restricted by interference instead of background noise. Furthermore, interference management (Zaidel and Müller, 2015; Chun and Kim, 2008; Nauryzbayev and Alsusa, 2016; Blough et al , 2014; Lai et al , 2019) has emerged as a crucial factor with the arrival of the heterogeneous network comprising pico-cells, macrocells and femtocells.…”

Section: Introductionmentioning

confidence: 99%

Enhanced optimization assisted interference mitigation with vertical beamforming in 3D MIMO-OFDMA for 5G wireless communication network

Yadav

Tripathi

2021

IJPCC

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Purpose Multiple input multiple-output (MIMO) has emerged as one among the many noteworthy technologies in recent wireless applications because of its powerful ability to improve bandwidth efficiency and performance, i.e. through developing its unique spatial multiplexing capability and spatial diversity gain. For carrying out an enhanced communication in next-generation networks, the MIMO and orthogonal frequency division multiple systems were combined that facilitate the spatial multiplexing on resource blocks (RBs) based on time-frequency. This paper aims to propose a novel approach for maximizing the throughput of cell-edge users and cell-center users. Design/methodology/approach In this work, the specified multi-objective function is defined as the single objective function, which is solved by the introduction of a new improved algorithm as well. This optimization problem can be resolved by the fine-tuning of certain parameters such as assigned power for RB, cell-center user, cell-edge user and RB allocation. The fine-tuning of parameters is attained by a new improved Lion algorithm (LA), termed as Lion with new cub generation (LA-NCG) model. Finally, the betterment of the presented approach is validated over the existing models in terms of signal to interference plus noise ratio, throughput and so on. Findings On examining the outputs, the adopted LA-NCG model for 4BS was 66.67%, 66.67% and 20% superior to existing joint processing coordinated multiple point-based dual decomposition method (JC-DDM), fractional programming (FP) and LA models. In addition, the throughput of conventional JC-DDM, FP and LA models lie at a range of 10, 45 and 35, respectively, at the 100th iteration. However, the presented LA-NCG scheme accomplishes a higher throughput of 58. Similarly, the throughput of the adopted scheme observed for 8BS was 59.68%, 44.19% and 9.68% superior to existing JC-DDM, FP and LA models. Thus, the enhancement of the adopted LA-NCG model has been validated effectively from the attained outcomes. Originality/value This paper adopts the latest optimization algorithm called LA-NCG to establish a novel approach for maximizing the throughput of cell-edge users and cell-center users. This is the first that work uses LA-NCG-based optimization that assists in fine-tuning certain parameters such as assigned power for RB, cell-center user, cell-edge user and RB allocation.

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Section: Introductionmentioning

confidence: 99%

Enhanced optimization assisted interference mitigation with vertical beamforming in 3D MIMO-OFDMA for 5G wireless communication network

Yadav

Tripathi

2021

IJPCC

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“…A VANET 1,2 is a special kind of MANET, which is a sub‐category of ad hoc networks 3–5 . VANET supports several ITS systems like traffic monitoring and safety, internet services, information about busy, and free routes 6–12 . One important component of ITS is a VANET, which makes precious communication between vehicles and the base station 13–15 .…”

Section: Introductionmentioning

confidence: 99%

Impact of hybridized rider optimization with cuckoo search algorithm on optimal VANET routing

Gnanasekar¹,

Samiappan

2021

Int J Communication

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Summary VANET routing is a serious concern due to some of the limitations in terms of routing costs. More research has already worked on VANET routing strategies for enhancing the performance of the network. However, optimal route selection is a tedious or complex issue in this scenario. To cope with this issue, this research work attempts to introduce a new VANET routing model that considers certain network quality measures such as congestion, travel, collision, and QoS awareness cost. A new cost model is designed based on the given constraints. Along with this, the fuzzification of the QoS factor is considered along with the total routing cost. This work determines the optimal route selection with minimized routing cost by employing a novel optimization algorithm called Rider Integrated Cuckoo Search (RI‐CS) that hybridizes the concept of Rider Optimization Algorithm (ROA) and Cuckoo Search (CS). Finally, the performance of the proposed RI‐CS is analyzed against the conventional models like Particle Swarm Optimization (PSO), Firefly algorithm (FA), Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WAO), ROA, CS, Mean Computing Jaya Algorithm (MC‐JA), and Grey Updated Butterfly Operator (GU‐BO) in terms of certain cost analysis.

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Smart Mobility: A Systematic Literature Review of Mobility Assistants to Support Multi-modal Transportation Situations in Smart Cities

Rocha

Dias

Santinha

et al. 2020

Integrated Science in Digital Age 2020

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SmartMobility, an Application for Multiple Integrated Transportation Services in a Smart City

Cited by 4 publications

References 0 publications

Enhanced optimization assisted interference mitigation with vertical beamforming in 3D MIMO-OFDMA for 5G wireless communication network

Enhanced optimization assisted interference mitigation with vertical beamforming in 3D MIMO-OFDMA for 5G wireless communication network

Impact of hybridized rider optimization with cuckoo search algorithm on optimal VANET routing

Smart Mobility: A Systematic Literature Review of Mobility Assistants to Support Multi-modal Transportation Situations in Smart Cities

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