Joint Energy and Spectral Optimization in Heterogeneous Vehicular Network

9 Pages Posted: 25 May 2022

See all articles by Amjad Alam

Amjad Alam

affiliation not provided to SSRN

Kamran Ali

Middlesex University

Ramona Trestian

affiliation not provided to SSRN

Purav Shah

affiliation not provided to SSRN

Glenford Mapp

affiliation not provided to SSRN

Abstract

With the latest developments in both automotive and communications industries, especially related to the emerging 5G networks, IoV and adoption of Vehicle-to-Everything (V2X) connectivity leading to the adoption of a Heterogeneous Vehicular Networks (HetVNets) environment. Rapid growth of data traffic and drastic expansion of heterogeneous network infrastructure leads to considerable increase of energy consumption in the wireless communication system.This results in the rise of greenhouse gas emission that seeks a paramount attention in the maintenance and development of sustainable energy as this crisis endangers the natural environment around us, our well-being today. Energy efficiency and spectral efficiency are the main conflicting parameters in Heterogeneous Vehicular network in relation to energy optimisation. Designing a network system for the joint optimization of Energy efficiency and spectral efficiency are critically more challenging. Hence the paper attempted to optimize the energy utilized for each packet transmission with the characteristic features like as simplicity, robustness, flexibility, handling of objective with stochastic nature and optimized control parameters of two meta-heuristic algorithm like Particle swarm optimization and Artificial Bee colony optimization algorithm. The optimization process is performed with the newly developed Particle Bee Colony swarm algorithm followed by the comparison of the effectiveness of the proposed system with the state of art methods like LDOD, FO, RO, and MATO in terms of energy efficiency and spectral efficiency. The performance analysis proves that the proposed system overcomes the existing systems with 30.32% increase in the spectral efficiency and 73.25% increase in the energy efficiency.

Keywords: Energy efficiency, Spectral efficiency, Artificial Bee-colony, Heterogeneous Vehicular network, Particle swarm optimization

Suggested Citation

Alam, Amjad and Ali, Kamran and Trestian, Ramona and Shah, Purav and Mapp, Glenford, Joint Energy and Spectral Optimization in Heterogeneous Vehicular Network. Available at SSRN: https://ssrn.com/abstract=4119298 or http://dx.doi.org/10.2139/ssrn.4119298

Amjad Alam (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Kamran Ali

Middlesex University ( email )

Ramona Trestian

affiliation not provided to SSRN ( email )

No Address Available

Purav Shah

affiliation not provided to SSRN ( email )

No Address Available

Glenford Mapp

affiliation not provided to SSRN ( email )

No Address Available

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