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Probability of communicating with a green base station

Performance analysis of green cellular networks with selective

The exact blocking probability in such overflow loss systems can be obtained by solving a set of steady-state equations for a multi-dimensional Markov process, with each

Base Station Switching Problem for Green Cellular Networks

As the network operators need to deploy their base stations to support the peak mobile data traffic, it is inevitable that during a major portion of the day a large number of the base stations

Base Station Sleeping and Resource Allocation

A. Service Blocking Probability ervice blocking probability is the the probability that busy. As we evaluate the metric over a long enough time (e.g., 1 hour), it can be obtained by the Erlang''s

Modeling, metrics, and optimal design for solar energy-powered base

Using renewable energy system in powering cellular base stations (BSs) has been widely accepted as a promising avenue to reduce and optimize energy consumption and

Power-Aware Fuzzy Based Joint Base Station and Relay Station

In recent years, green wireless communication has received much attention of industrial and academic communities due to its ability to create eco-friendly power efficient

Performance analysis of green cellular networks with selective base

By considering the mutual overflow effect between BSs, the newly proposed method is verified by extensive and statistically reliable simulation experiments to significantly improve

Dynamic base station planning with power adaptation for green

Energy-efficient green solutions are not only beneficial for the environment but also help to reduce the energy expenditure of the investors. Since base stations (BSs) of wireless

Solar Powered Cellular Base Stations: Current Scenario, Issues

Cellular base stations powered by renewable energy sources such as solar power have emerged as one of the promising solutions to these issues.

Dynamic Base Station Operation in Large-Scale Green Cellular

In this paper, to minimize the on-grid energy cost in a large-scale green cellular network, we jointly design the optimal base station (BS) ON/OFF operation policy and the on

Genetic Algorithm for Base Station ON/OFF Optimization

In this paper, we propose a novel probability aware genetic algorithm for base station ON/OFF strategy in green communications. Our contributions mainly lie in two folds.

Optimal Base Station Antenna Downtilt in

Based on the above definitions, we define the coverage probability as a probability that a receiver''s signal-to-interference-plus-noise ratio (SINR) is above a per-designated

Performance Analysis of Green Cellular Networks with

Here, the blocking probability is equivalent to the probability that a connection is rejected for admission because of the need to meet the application QoS requirements.

Performance analysis of green cellular networks with selective

By considering the mutual overflow effect between BSs, the newly proposed method is verified by extensive and statistically reliable simulation experiments to significantly improve

Genetic Algorithm for Base Station ON/OFF Optimization with

As a result, green communication is a critical requirement. We looked at a variety of strategies for power optimization in the impending 5G network in this article.

Dynamic base station planning with power adaptation for green

Therefore, we formulate a novel nonlinear programming (NLP) model for the green dynamic BS planning (GDBP) problem to find the best possible BS topology which minimizes

SOLVED: station? b. What is the probability that 7 of the

Step 1/2To find the probability that fewer than 2485 messages reach the base station, we need to calculate the cumulative probability of the number of messages reaching the base station

Coverage and Rate Probability in Hexagonal Cell Structure

This enables a large number of portable transceivers (e.g., mobile phones, pagers, etc.) to communicate with each other and with fixed transceivers and telephones anywhere in the

The Positioning of Base Station in Wireless Communication

In this paper, a new representation describing base station placement is suggested, and is one which uses a real number and introduces new genetic operators. The proposed representation

Outage Probability of Aerial Base Station NOMA MIMO Wireless

In this work, we consider a base station (BS) mounted on an unmanned aerial vehicle (UAV) called as an aerial BS (ABS). The ABS is equipped with multiple antennas to assist two pairs

Performance analysis of green cellular networks with selective base

The exact blocking probability in such overflow loss systems can be obtained by solving a set of steady-state equations for a multi-dimensional Markov process, with each

Energy Efficiency in a Base Station of 5G Cellular Networks using

Reducing energy consumption is the vital goal of green communication. Base station (BS) is a radio receiver/transmitter that serves as the hub of the local wireless network.

Probabilistic Semantic Communication over Wireless Networks

In this paper, the problem of joint transmission and computation resource allocation for probabilistic semantic communication (PSC) system with rate splitting multiple access

Probability of communicating with a green base station [PDF]

4 FAQs about [Probability of communicating with a green base station]

Is there a height difference between base station ASE and UE?

In general, there exists a height difference between a BS and a UE in practical networks. It is common to utilize antenna downtilt to adjust the direction of the vertical antenna network performance. This paper focuses on investigating the relationship between the base station ASE.

Does antenna downtilt affect base station density?

networks. It is common to utilize antenna downtilt to adjust the direction of the vertical antenna network performance. This paper focuses on investigating the relationship between the base station ASE. The analytical results of the coverage probability and the ASE are derived, and we find base station density.

Does antenna downtilt change coverage probability?

The antenna downtilt does not change the trend of the coverage probability, i.e., it first increases and then decreases to zero as BS density increases. The coverage probability performance with the optimal antenna downtilt is always better than that without antenna downtilt.

What are the parameters for 3GPP case 1?

According to , we adopt the following parameters for 3GPP Case 1: d1 = 300m, 3:75, AL = 10 10:38, ANL = 10 14:54, PB = 24dBm, PN = = 2, NL = 95dBm (including a noise figure of 9 dB at the receivers).

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