Strict Frequency Reuse Algorithm in Downlink 3GPP Random Cellular Networks

Background & Objective: In this work, we introduced a mathematical network model which follows on the recommendations of 3GPP to evaluate the downlink Long Term Evolution (LTE) network utilizing Strict Frequency Reuse (FR) scheme. The network modelling bases on the establishment phase and communications of the FR scheme. The user average coverage probability is derived and analysed under Rayleigh fading environment and furthermore the closed-form formulations of the performance are found using Gauss Quadratures. Through the Monte Carlo simulation, it is proved that the proposed analytical approach is more accurate than other approaches in the literature. Conclusion: Furthermore, this paper stated that the overall system can achieve the better performance with a higher number of Cell-Edge Users (CEUs), which contrasts with other works in the literature.

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Coverage Probability Analysis by Fractional Frequency Reuse Scheme

10.36227/techrxiv.13725736.v1 ◽

2021 ◽

Author(s):

Joydev Ghosh

Keyword(s):

Cellular Networks ◽

Coverage Probability ◽

Rayleigh Fading ◽

Frequency Reuse ◽

Fractional Frequency Reuse ◽

Cell Edge ◽

Fractional Frequency ◽

Lognormal Shadowing ◽

Simulation Results ◽

Edge Coverage

<div>In this work, we present the cell edge coverage probability (CECP) performance of cellular networks under the composite multi-path fading environment, where Rayleigh fading is superimposed on lognormal shadowing, by the fractional frequency reuse (FFR) scheme. We demonstrate that our analytical results and the simulation results are in line with the analysis presented in [12].</div>

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Coverage Probability Analysis by Fractional Frequency Reuse Scheme

10.36227/techrxiv.13725736 ◽

2021 ◽

Author(s):

Joydev Ghosh

Keyword(s):

Cellular Networks ◽

Coverage Probability ◽

Rayleigh Fading ◽

Frequency Reuse ◽

Fractional Frequency Reuse ◽

Cell Edge ◽

Fractional Frequency ◽

Lognormal Shadowing ◽

Simulation Results ◽

Edge Coverage

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Interference Avoidance Using Dynamic Frequency Reuse For LTE-A System

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.7.16193 ◽

2018 ◽

Vol 7 (3.7) ◽

pp. 1

Author(s):

Asif Reza ◽

Md Rafiqul Islam ◽

Khaizuran Bin Abdullah ◽

Farah Raisa

Keyword(s):

Long Term Evolution ◽

Base Station ◽

Simulation Software ◽

Frequency Reuse ◽

System Capacity ◽

Fractional Frequency Reuse ◽

Cell Edge ◽

Term Evolution ◽

Dynamic Frequency

To meet the increasing demand for spectrum in communication system, Long Term Evolution (LTE) system has been proposed. It allowed users to use a new and much wider spectrum comparing to the other previous technologies. To utilize the full capacity of the LTE system Frequency Reuse (FR) has been adapted. It is a promising aspect of transmission of high rate data stream with better system capacity and fading immunity in the modern Long-Term Evolution-Advanced (LTE-A) system. Fractional Frequency Reuse (FFR) is the commonly used frequency reuse technique to increase the system capacity. But the problem is, with introduction of FR, it also increases the Inter Cell Interference (ICI) of the system. The out of cell interference coming from the neighbouring e-NodeBs (eNB) as a result of using the same frequency band and they act as an interference source. This ICI decreases the system capacity, resulting in hampering of communication, browsing and in worst case no connection at all. This condition highly affects the users under a cell specially those who are located in the cell edge areas. To take care of this issue an approach called Dynamic Frequency Reuse scheme has been proposed in this paper to mitigate the interference thus increasing the system capacity. This scheme uses continuous assessment of resource allocation and choosing the best sub-band for the user with least interference. There is a sequential order to be maintained for the users with using off minimum Base Station (BS) transmit power. The cell edge area users are the primary concern in terms of increasing their service quality. MATLAB simulation software has been used to justify the theory that the proposed scheme is capable increase the capacity of the cell edge areas as well as the cell centre area user. The results achieved from the simulation also indicates that the proposed model can enhance the system capacity comparing to the existing FFR scheme.

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Long-Term Evolution (LTE)

Data Mining ◽

10.4018/978-1-4666-2455-9.ch017 ◽

2013 ◽

pp. 336-365

Author(s):

Bing He ◽

Bin Xie ◽

Sanjuli Agrawal ◽

David Zhao ◽

Ranga Reddy

Keyword(s):

Cellular Networks ◽

Orthogonal Frequency Division Multiplexing ◽

New Technologies ◽

Network Capacity ◽

Long Term Evolution ◽

High Data ◽

Term Evolution ◽

Input Multiple Output ◽

Speed Up

With the ever growing demand on high throughput for mobile users, 3G cellular networks are limited in their network capacity for offering high data services to a large number of users. Consequently, many Internet services such as on-demand video and mobile TV are hard to be satisfactorily supported by the current 3G cellular networks. 3GPP Long Term Evolution (LTE) is a recently proposed 4G standard, representing a significant advance of 3G cellular technology. Attractively, LTE would offer an uplink data speed up to 50 Mbps and a downlink speed up to 100 Mbps for various services such as traditional voice, high-speed data, multimedia unicast, and multimedia broadcasting. In such a short time, it has been broadly accepted by major wireless vendors such as Verizon-Vodafone, AT&T, NTT-Docomo, KDDI, T-Mobile, and China Mobile. In order for high data link speed, LTE adapts new technologies that are new to 3G network such as Orthogonal Frequency Division Multiplexing (OFDM) and Multiple-Input Multiple-Output (MIMO). MIMO allows the use of more than one antenna at the transmitter and receiver for higher data transmission. The LTE bandwidth can be scalable from 1.25 to 20 MHz, satisfying the need of different network operators that may have different bandwidth allocations for services, based on its managed spectrum. In this chapter, we discuss the major advance of the LTE and its recent research efforts in improving its performance. Our illustration of LTE is comprehensive, spanning from the LTE physical layer to link layer. In addition, the LTE security is also discussed.

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