GCIRM: Toward Green Communication With Intelligent Resource Management Scheme for Radio Access Networks

• Published in: IEEE transactions on green communications and networking Vol. 8; no. 3; pp. 1018 - 1025
• Main Authors: Taneja, Ashu, Rani, Shalli, Dhanaraj, Rajesh Kumar, Nkenyereye, Lewis
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: active IRS; Algorithms; Amplification; Clean energy; Communication; Computer architecture; Data communication; Energy consumption; Energy efficiency; Energy harvesting; Networks; Power consumption; Power demand; Power management; Radio; Radio access networks; Radio frequency; RAN; Reflection; reflection amplitude; Resource management
• ISSN: 2473-2400; 2473-2400
• DOI: 10.1109/TGCN.2024.3384542

With the proliferation of mobile devices and connected terminals, the mobile data traffic has witnessed an unprecedented upsurge. The increasing energy consumption owing to the massive machine type communication is the main challenge in radio access networks (RANs). Thus, energy optimized mobile networks are very important for sustainable future green communication. This paper presents an efficient approach for improving the efficiency of RAN by proposing an active-IRS aided framework. The multiple active IRSs assist the user communication by amplifying the incident signals before transmission. The system power usage is determined through a proposed power consumption model with minimum energy overhead. Further, resource management is enabled in the network through a proposed algorithm. The system rate and energy performance is obtained for different values of IRS power budget, output power and amplitude gain subject to the constraint of maximum amplification power. It is observed that maximum amplification power <inline-formula> <tex-math notation="LaTeX">P_{max} </tex-math></inline-formula> of 20 dBm yields maximum achievable rate of 16.2 bits/s/Hz. Also, the gain in energy efficiency is 20.79% when <inline-formula> <tex-math notation="LaTeX">P_{max} </tex-math></inline-formula> is changed from 0 dBm to 10 dBm. In the end, the comparison of active IRS system and passive IRS system with resource control is also carried out.