Optimizing Energy Efficiency in Ultra-Dense Networks Through Enhanced Device-To-Device Communication and Small Base Station Management

• Published in: 2024 IEEE 7th International Symposium on Telecommunication Technologies: Exploring Future Frontiers in Telecommunication and Vehicular Technologies, ISTT 2024
• Main Author: Hashim M.F.; Razak N.I.A.; Idris A.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212181993&doi=10.1109%2fISTT63363.2024.10750551&partnerID=40&md5=f522288cae023837ee425f7720e4d4d8

This research addresses the challenge of optimizing energy efficiency in Ultra-Dense Networks (UDNs) by leveraging Device-to-Device (D2D) communication and strategic Small Base Station (SBS) management. With the dense deployment of SBSs in 5G networks, power consumption has significantly increased. To mitigate this, a cooperative D2D grouping strategy, termed GMD2D, is proposed, which enhances user equipment (UE) association, optimizes SBS sleep mode transitions, and supports multihop communication within the 60 GHz band. The GMD2D strategy was evaluated against traditional D2D (CD2D) and non-D2D (ND2D) communication methods. The results demonstrated that GMD2D achieved an 8.57% improvement in energy efficiency over grouping only (GD2D), a 40.7% improvement over CD2D, and a 107% improvement over ND2D when tested with 50 UEs. Furthermore, in scenarios with 10 SBSs, GMD2D outperformed GD2D by 10.8%, CD2D by 42.9%, and ND2D by 116% in terms of energy efficiency. When evaluated at a throughput demand of 300 Mbps, GMD2D exhibited a 9.2% improvement over GD2D, a 38.3% enhancement compared to CD2D, and a 67.7% increase relative to ND2D. These findings highlight the effectiveness of the GMD2D strategy in achieving substantial energy savings while maintaining robust network performance, particularly in high-density UDN scenarios. The proposed approach not only contributes to the sustainability goals of future 5G networks but also ensures efficient management of network resources under varying user densities and communication demands. © 2024 IEEE.