Analysis of multiple sleeps and N-policy on a M/G/1/K user request queue in 5g networks base station
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.21Keywords:
Mobile Network, Wireless Network, Energy Consumption, Multiple Sleeps, N- Policy, Finite capacity.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The primary purpose of green communication is to reduce energy use. The base station (BS) is a radio receiver/transmitter that acts as the wireless network’s hub. It serves as a link between a wired and wireless network. To receive and transmit messages, BS uses a lot of energy. The use of effective sleep and wake-up/setup activities with an acceptable delay helps reduce base station power consumption. In this paper, the BS’s service process is modelled as a finite buffer queue with close down, sleep, and setup. After a certain number of user requests (URs) have accumulated in the system, to awaken the BS from multiple sleeps (MS) the -Policy is implemented. To produce probability generating functions, the supplementary variable approach is applied. The UR’s mean delay and the BS’s mean power consumption are calculated using simulation. According to computational studies, multiple sleeps with -policy consume less power than multiple sleeps without -policy.Abstract
How to Cite
Downloads
Similar Articles
- Selva Kumar D, Revisiting the challenges of disinvestment practices and central public sector enterprises (CPSEs): Indian empirical evidence , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Syed Amin Jameel, Abdul Rahim Mohamed Shanavas, Deep-Ultranet: Diabetic Retinopathy Grading System Using Ultra-Widefield Retinal Images , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Rudrapati Bhuvaneswara Prasad, Avutala Mallikarjuna Reddy, Edge properties of lexicographic product graphs of open neighborhood graphs , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- K. Sreenivasulu, Sampath S, Arepalli Gopi, Deepak Kartikey, S. Bharathidasan, Neelam Labhade Kumar, Advancing device and network security for enhanced privacy , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- T. R. Raajpandiyan, Syed T. Hussainy, U. Rizwan, A bivariate replacement policy (T, N) under partial product process , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- S. Hemalatha, N. Vanjulavalli, K. Sujith, R. Surendiran, Effective gorilla troops optimization-based hierarchical clustering with HOP field neural network for intrusion detection , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Hariini Chandramohan, Sethu Gunasekaran, Comparative analysis on the photocatalytic activity of titania and silica nanoparticles using dye discoloration and contact angle test , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- D. Jayadurga, A. Chandrabose, Distribution of virtual machines with SVM-FFDM approach in cloud computing , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- N Archana, R Aravind Babu, Fault-tolerant reconfigurable second-life battery system using cascaded DC- DC converter , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Animesh Priyadarshi, Dr. Bidyanand Choudhary, Economic Impact of Mahua (Madhuca longifolia, Ericales, Sapotaceae) and Tendu Leaves (Diospyros melanoxylon, Ericales, Ebenaceae) Collection on Rural Livelihood: A Comprehensive Case Study of Jharkhand , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
<< < 7 8 9 10 11 12 13 14 15 16 > >>
You may also start an advanced similarity search for this article.

