End-to-End Energy Efficiency Evaluation for B5G Ultra Dense Networks
Yu Fu, Mohammad Dehghani Soltani, Hamada Alshaer, Cheng-Xiang Wang,, Majid Safari, Stephen McLaughlin, Harald Haas

TL;DR
This paper evaluates the energy efficiency of B5G ultra dense networks by proposing an end-to-end power consumption model and comparing separated indoor-outdoor architectures with integrated systems, highlighting the benefits of using LiFi and mmWave technologies.
Contribution
It introduces a novel end-to-end power consumption model for B5G ultra dense networks and compares separated versus non-separated architectures, demonstrating improved energy efficiency with specific technologies.
Findings
Separated indoor-outdoor architecture supports higher data rates with less energy.
Deploying LiFi and mmWave enhances data rates and energy efficiency.
Separated architecture outperforms non-separated in power consumption and data rate.
Abstract
Energy efficiency (EE) is a major performance metric for fifth generation (5G) and beyond 5G (B5G) wireless communication systems, especially for ultra dense networks. This paper proposes an end-to-end (e2e) power consumption model and studies the energy efficiency for a heterogeneous B5G cellular architecture that separates the indoor and outdoor communication scenarios in ultra dense networks. In this work, massive multiple-input-multiple-output (MIMO) technologies at conventional sub-6 GHz frequencies are used for long-distance outdoor communications. Light-Fidelity (LiFi) and millimeter wave (mmWave) technologies are deployed to provide a high data rate service to indoor users. Whereas, in the referenced nonseparated system, the indoor users communicate with the outdoor massive MIMO macro base station directly. The performance of these two systems are evaluated and compared in terms…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling · Telecommunications and Broadcasting Technologies
