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Coverage probability enhancement for better network experience of cell edge users in hierarchical Heterogenous Networks using coordinate aided transmission beamforming model


E. E. Agbon
A. S. Yaro
A. D. Usman
M. Umar
A. M. Giwa
A. T. Utev
H. Bello

Abstract

The problem of interference has led to poor user experience in present day cellular mobile Heterogeneous Network (HetNet). This problem has been compounded in the 5G era due to the massive increase in the number of network users. The shift from voice traffic in the past to data traffic has challenged researchers to develop algorithms to improve the Quality of Service (QoS)of users in the HetNet. The problem of interference has led to poor coverage probability by cell edge users and thus, much focus has been given to cell edge users for better network experience. In an attempt to solve the aforementioned problem, the Separation Architecture (SARC)has been suggested. Here, the control plane and the data plane has been decoupled. The decoupling of these planes has shown better network performance in terms of coverage however, more work needs to be done to improve network users QoS. In the wake of this demand, this research developed a Quality-of-Service Aware control and data plane SARC (QoSA-SARC) algorithm for hierarchical HetNet usinga novel Coordinate Aided Transmission (CAT) beamforming model. The QoSA-SARC focuses on improving the probability of coverage provided by the control Base Station (cBS). In the work, simulations were carried out in MATLAB 2017b environment. The results obtained was compared with the work of Liang et al., (2019). Liang et al was used as a basis of comparison because this work considered the same network parameters as that of Liang et al., (2019). Results obtained showed that an improvement of 16.13% and 6.06% at user access rate of 0.8 × 10-3 and 0.5 × 10-3 respectively was achieved when compared with the work of (Liang et al., 2019). Also, the developed algorithm improved the network coverage probability by 10.26% and 8.89% at user service rate ucof 1/180s and 1/320s respectively.


 


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eISSN: 2705-3954
print ISSN: 0794-4756