International Journal of Sensors, Wireless Communications and Control

Author(s): Sinh C. Lam* and Kieu T. Nguyen

DOI: 10.2174/2210327908666181023125721

Strict Frequency Reuse Algorithm in Downlink 3GPP Random Cellular Networks

Page: [404 - 413] Pages: 10

  • * (Excluding Mailing and Handling)

Abstract

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.

Keywords: Coverage probability, poisson cellular network, rayleigh fading, strict frequency reuse, throughput, LTE.

Graphical Abstract

[1]
Hamza AS, Khalifa SS, Hamza HS, Elsayed K. A survey on inter-cell interference coordination techniques in OFDMA-based cellular networks. IEEE Comm Surv and Tutor 2013; 15(4): 1642-70.
[2]
3GPP TS 36.214 V9.1.0 Release 9. LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer – Measurements. Apr 2014.
[3]
3GPP TS 36.213 V8.8.0 Release 8. LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer procedures. Nov 2014.
[4]
Huawei Technologies Co., Ltd. eLTE2.2 DBS3900 LTE FDD Basic Feature Description. February 2014.
[5]
3GPP Release 10 V0.2.1, “LTE-Advanced (3GPP Release 10 and beyond),” June 2014.
[6]
M. Haenggi, Stochastic geometry for wireless networks plus 0.5em minus 0.4em Cambridge Univ. Press, November 2012.
[http://dx.doi.org/10.1017/CBO9781139043816]
[7]
HElSawy H Hossain E, Haenggi M. Stochastic geometry for modeling, analysis, and design of multi-tier and cognitive cellular wireless networks: A survey. IEEE Comm Surv and Tutor 2013; 15(3): 996-1019.
[8]
Joshi S, Mallik RK. Coverage and interference in D2D networks with Poisson cluster process. IEEE Commun Lett 2018; 22(5): 1098-101.
[9]
Joshi S, Mallik RK. Analysis of dedicated and shared device-to-device communication in cellular networks over Nakagami-m fading channels. IET Commun 2017; 11(10): 1600-9.
[10]
Novlan TD, Ganti RK, Ghosh A, Andrews JG. Analytical evaluation of fractional frequency reuse for OFDMA cellular networks. IEEE Trans Wirel Commun 2011; 10(12): 4294-305.
[11]
Lam SC, Sandrasegaran K, Ghosal P. Performance analysis of frequency reuse for ppp networks in composite Rayleigh-lognormal fading channel. Wirel Pers Commun 2017; 96(1): 989-1006.
[12]
E-UTRA Base Station (BS) radio transmission and reception, 3GPP Std. TS 36.104, 2010.
[13]
Zhuang H, Ohtsuki T. A model based on Poisson point process for downlink K tiers fractional frequency reuse heterogeneous networks Physic Commun vol. 13, Part B: Special Issue on Heterogeneous and Small Cell Networks, . 2014.
[14]
Kumar S, Kalyani S, Giridhar K. Optimal design parameters for coverage probability in fractional frequency reuse and soft frequency reuse. IET Commun 2015; 9(10): 1324-31.
[15]
Lam SC, Sandrasegaran K. Performance analysis of fractional frequency reuse in uplink random cellular networks. Phys Commun 2017; 25: 469-82.
[16]
Novlan TD, Andrews JG. Analytical evaluation of uplink fractional frequency reuse. IEEE Trans Commun 2013; 61(5): 2098-108.