Design and development of handover simulator model in 5G cellular network

Abstract

In the modern era of technology, the high speed internet is the most important part of human life. The current available network is reckoned to be slow in speed and not be up to snuff for data transmission regarding business applications. The objective of handover mechanism is to reassign the current session handle by internet gadget. The globe needs the next generation high mobility and throughput performance based internet model. This research paper explains the proposed method of design and development for handover based 5G cellular network. In comparison to the traditional method, we propose to control the handovers between base-stations using a concentric method. The channel simulator is applied over the range of the frequencies from 500 MHz to 150 GHz and radio frequency for the 700 MHz bandwidth. The performance of the simulation system is calculated on the basis of handover preparation and completion time regarding base station as well as number of users. From this experiment we achieve the 7.08 ms handover preparation time and 9.98 ms handover completion time. The author recommended the minimum handover completion time, perform the high speed for 5G cellular networks.

SSHS: SDN seamless handover system among LAN access points

“…In A Semantic and Knowledge‐Based Approach for Handover Management , 43 the researchers introduced a SIM‐Know method to enhance handover management by employing the semantic information model (SIM), which allows context‐awareness and multiple criteria to regulate handover decisions. Abdulkarem and Audah 44 suggested administering the base‐station handover in a 5G cellular network by using the concentric method. They demonstrated how to implement and construct the recommended strategy before contrasting it with the standard method.…”

Radio frequency receiver of long-term evolution system design by MATLAB Simulink

“…RF receiver, the RF receiver model includes the elements shown in Figure 5, where the RF demodulator consists of the following stages as shown in Figure 6 [1], [23], [24]. LTE direct conversion receiver, estimate the impact of non-linearity, noise, DC offset, mismatches and imbalance introduced by an RF chain composed by an low noise pre amplifier (LNA), direct conversion demodulator and variable gain amplifier (VGA) parameters illustrated in Table 1, internat protocol (IP3) which is a well-known specification that controlling linearity in radio frequency functions and stages, The output power versus input power behavior of both amplifiers shows that p -12 dB of parallel amplifier is better than single path LNA [25]. 10-bit ADC estimate the impact of the quantization error and the saturation introduced by an ideal analog-to-digital converter as shown in Figure 7, introduce saturation and quantization on signals that complex, power with full Scale -30 dBm, normallization resistence 1, number of quantization levels 10.…”

Pedestrian mobility management for heterogeneous networks

“…The proposed concept are based respectively on: i) Kalman filter error (KFE): which is provided by KF, a better process that reduces the error rate between the real and estimated distances; ii) KFE administered in VSS-NLMS: this step estimates the next distance as presented in the Table 1 and Figure 1 by substituting the prediction error of VSS-NLMS (e VSS−NLMS (n)) by KFE (e KFE (n)) to predict a small error on the future state of an estimated distance; and iii) convergence step: to ensure the faster convergence with steady-state, we add the ϵ value by multiplying the difference between the estimated distances VSS-NLMS and KF in absolute value. The equations of the proposed algorithm that we call "ϵKFNLMS" are listed (7) to (12).…”