Coverage and rate analysis in cellular networks with Nakagami-Lognormal fading channel employing soft frequency reuse

2019 ◽  
Vol 36 ◽  
pp. 100757 ◽  
Author(s):  
Ahmadreza Entezari ◽  
Aliakbar Tadaion
Keyword(s):  
Cellular Networks ◽  
Fading Channel ◽  
Frequency Reuse ◽  
Rate Analysis ◽  
Soft Frequency Reuse

scholarly journals Multi-Layer Soft Frequency Reuse Scheme for 5G Heterogeneous Cellular Networks

2017 ◽  
Author(s):  
Md. S. Hossain ◽  
Faisal Tariq ◽  
G. A. Safdar ◽  
Nurul H. Mahmood ◽  
Muhammad R. A. Khandaker
Keyword(s):  
Cellular Networks ◽  
Frequency Reuse ◽  
Heterogeneous Cellular Networks ◽  
Soft Frequency Reuse

Adaptive Soft Frequency Reuse Scheme for Wireless Cellular Networks

2015 ◽  
Vol 64 (1) ◽  
pp. 118-131 ◽  
Author(s):  
Manli Qian ◽  
Wibowo Hardjawana ◽  
Yonghui Li ◽  
Branka Vucetic ◽  
Xuezhi Yang ◽  
...  
Keyword(s):  
Cellular Networks ◽  
Frequency Reuse ◽  
Wireless Cellular Networks ◽  
Soft Frequency Reuse

scholarly journals New framework for interference and energy analysis of soft frequency reuse in 5G networks

2020 ◽  
Vol 9 (5) ◽  
pp. 1941-1949
Author(s):  
Achonu Adejo ◽  
Osbert Asaka ◽  
Habeeb Bello- Salau ◽  
Caroline Alenoghena
Keyword(s):  
Cellular Networks ◽  
Spectral Efficiency ◽  
Network Performance ◽  
Base Station ◽  
Frequency Reuse ◽  
Base Stations ◽  
System Capacity ◽  
Management Technique ◽  
5G Networks ◽  
Soft Frequency Reuse

Cellular networks are expanding massively due to high data requirements from mobile devices. This has motivated base station densification as an essential requirement for the 5G network. The implication is obvious benefits in enhanced system capacity, but also increased challenges in terms of interference. One important interference management technique which has been widely adopted in cellular networks is frequency reuse. In this article, an analysis is presented based on network interference and energy expended by base stations in downlink communication when Soft frequency reuse (SFR) is deployed. A framework is presented that captures the bandwidth overlaps in SFR across base station assignments, computes the interference probabilities arising and derives new performance equations which are verified using simulations. Results show an improvement of over previous SFR implementations that do not consider the interference probabilities. Thus, a more in-depth and accurate modelling of SFR in 5G networks is achieved. Furthermore, the downlink power allocation is investigated as against other parameters like the center ratio and edge bandwidth. The result shows that signal-to-interference-noise ratio (SINR) and spectral efficiency give different performance under energy consideration. A framework is developed on how to tune a base station to achieve desired network performance in user SINR or cell spectral efficiency depending on the operator’s preference.

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