Abstract
Wireless communication network requires a net design that can cope with peak mobile traffic. The mobile traffic fluctuates over time. It is known that the energy consumption of base stations (BSs) accounts for a large percentage of the overall network energy consumption. Recently, small cell base stations (SBSs) are deployed at high density to cope with the increasing amount of mobile traffic. However, activating all SBSs during non-peak hours of traffic leads to a decrease in energy efficiency. BS sleep strategy has been considered to improve energy efficiency. In this paper, affinity propagation (AP) based BS sleep technology is proposed. AP does not need to determine the number of clusters in advance. The computer simulation results show that the proposed scheme can reduce the outage probability of user equipment (UE) compared to the conventional scheme.
| Original language | English |
|---|---|
| Title of host publication | 34th International Conference on Information Networking, ICOIN 2020 |
| Publisher | IEEE Computer Society |
| Pages | 324-329 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728141985 |
| DOIs | |
| Publication status | Published - 2020 Jan |
| Externally published | Yes |
| Event | 34th International Conference on Information Networking, ICOIN 2020 - Barcelona, Spain Duration: 2020 Jan 7 → 2020 Jan 10 |
Publication series
| Name | International Conference on Information Networking |
|---|---|
| Volume | 2020-January |
| ISSN (Print) | 1976-7684 |
Conference
| Conference | 34th International Conference on Information Networking, ICOIN 2020 |
|---|---|
| Country/Territory | Spain |
| City | Barcelona |
| Period | 20/1/7 → 20/1/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- affinity propagation
- base station sleep
- clustering
- energy-efficient operation
- green cellular networks
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
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