Design and Analysis of Network Behaviors for Optimizing Network Energy Efficiency in 5G Mmwave Systems

Gui, Jinsong; Dai, Xiangwen; Xiong, Naixue

doi:10.1109/tnse.2021.3074362

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…We obtained the DEM of 9 real-world areas, corresponding to 9 administrative municipalities in Italy. The areas belong to urban, suburban and rural areas 3 , whose properties are reported in Tab. I.…”

Section: Visibility Analysis: Generating 𝐺 𝑣mentioning

confidence: 99%

“…While the target of 4G was to reach 8-10 Base Stations per km 2 , 5G will need tens and maybe hundreds of gNBs per km 2 [1], and networks beyond 5G probably even more. The interconnection of gNBs providing gigabit performance to mobile terminals requires novel solutions in the access network [2] [3]. Release 16 of the 3GPP standard for 5G introduced the concept of Integrated Access and Backhaul (IAB) to support densification without skyrocketing the cost [4].…”

Section: Introductionmentioning

confidence: 99%

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On the Properties of Next Generation Wireless Backhaul

Gemmi

Cigno

Maccari

2023

IEEE Trans. Netw. Sci. Eng.

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With the advent of 5G, cellular networks require a high number of base stations, possibly interconnected with wireless links, an evolution introduced in the last revision of 5G as the Integrated Access and Backhaul (IAB). Researchers are now working to optimize the complex topologies of the backhaul network, using synthetic models for the underlying visibility graph, i.e., the graph of possible connections between the base stations. The goal of this paper is to provide a novel methodology to generate visibility graphs starting from real data (and the data sets themselves together with the source code for their manipulation), in order to base the IAB design and optimization on assumptions that are as close as possible to reality. We introduce a GPU-based method to create visibility graphs from open data, we analyze the properties of the realistic visibility graphs, and we show that different geographic areas produce very different graphs. We run state-of-the-art algorithms to create wireless backhaul networks on top of visibility graphs, and we show that the results that exploit synthetic models are far from those that use our realistic graphs. Our conclusion is that the data-based approach we propose is essential to design mobile networks that work in a variety of real-world situations.

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Section: Visibility Analysis: Generating 𝐺 𝑣mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the Properties of Next Generation Wireless Backhaul

Gemmi

Cigno

Maccari

2023

IEEE Trans. Netw. Sci. Eng.

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“…This will enable industries, individuals, governments, and businesses to enhance their energy efficiency while simultaneously reducing overall energy consumption. Below are listed some key observations that have been highlighted as [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Dual-Step Hybrid Mechanism for Energy Efficiency Maximization in Wireless Network

Chavan,

Malyadri,

Tabassum

et al. 2023

Cybernetics and Information Technologies

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Wireless networks have become essential in daily life, with a growing number of base stations and connected devices. However, increasing traffic and energy consumption pose challenges. This research proposes a Dual Step Hybrid Mechanism (DSHM) for energy optimization, incorporating MIMO technologies. The first step introduces an optimal algorithm that iteratively updates the probability distribution to achieve the best solution. The second step focuses on reducing energy consumption while maximizing energy efficiency, using specific techniques and strategies to minimize usage without compromising energy maximization. The proposed approach is evaluated using parameter settings, including block length, path loss, hardware impairments, and bandwidth. The research investigates the impact of hardware impairments on energy efficiency and analyzes performance under different SINR constraints. The study also examines energy efficiency in active user density and base station density, highlighting the superior energy efficiency achieved by MIMO configurations.

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