RIS-Assisted Fixed NOMA: Outage Probability
Jul 25, 2023 · According to simulations, RIS-assisted FNOMA surpasses FNOMA in terms of outage and sum capacity. With the aid of RIS and the
Jul 25, 2023 · According to simulations, RIS-assisted FNOMA surpasses FNOMA in terms of outage and sum capacity. With the aid of RIS and the
Jul 25, 2023 · According to simulations, RIS-assisted FNOMA surpasses FNOMA in terms of outage and sum capacity. With the aid of RIS and the optimal power assignment, RIS-AP
Jan 17, 2022 · Battery groups are installed as backup power in most of the base stations in case of power outages due to severe weathers or human-driven accidents, particularly in remote
Mar 27, 2025 · In this paper, we discuss the application of RIS technology in Rate-Splitting Multiple Access (RSMA), where the base station (BS) sends superimposed signals to
Apr 1, 2024 · This paper investigates a framework for integrated sensing and communication (ISAC) based on non-orthogonal multiple access (NOMA). In this framework, a dual-function
In this research, an IRS-assisted NOMA network is explored over η - μ fading channel, where the IRS is placed on top of the base station (BS). IRS aids in fine-tuning the phase of incoming
Aug 19, 2025 · Abstract: The Stable operation of mobile communication base stations depends on a continuous and reliable power supply. Power outages can lead to a decrease in
Dec 1, 2024 · Base Transceiver Stations (BTSs), are foundational to mobile networks but are vulnerable to power failures, disrupting service delivery and causing user inconvenience. This
Feb 26, 2015 · Abstract—Solar powered cellular base stations are emerging as key solution in green cellular networks. A major challenge in the design of such a base station (BS) is finding
Jun 18, 2025 · The dual-functional base station (BS) utilizes a receive filter to improve target detection performance. Our goal is to minimize power consumption at the BS by jointly
Apr 24, 2024 · Abstract—We consider a next generation wireless network incorporating a base station a set of typically low-cost and faulty Reconfigurable Intelligent Surfaces (RISs). The
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Though each single power outage of one given base station is truly hard to predict precisely, the statistical long-term power outage trends (e.g., in every year) can have a very similar pattern (e.g., a base station built in cold area may suffer from several power outages due to the heavy snow every year).
Our real trace-driven data analysis clearly reveals that in the battery allocation strategy currently used in practice, there exists a mismatch between the supporting ability of backup batteries and the power outage situations in each base sta-tion. The mismatch can lead to serious problems in base sta-tions.
In this paper, we closely examine the power outage events and the backup battery activities from a 1.5-year dataset of a branch of a major cellular service provider in China, including 4,206 base stations and more than 1.5 bil-lion records on base stations and batteries.
The modern power grid is known to be highly reliable in urban areas, but still suffers from outages due to the severe weather (e.g., storm, hurricane, fire, earthquake) or human-driven accidents (e.g., vandalism or theft) , . In many rural areas, the outages can be quite frequent, no matter in developing or developed countries.