In this research, we estimate the survival function by using three
nonparametric estimation methods and is to the method of Kaplan and
Meier, the method Gaussian Kernel and method Weibull Kernel.
Depending on the method of simulation and a complet
e real data from
reality. Where we proposed a new method to estimate the survival
function is to use Weibull Kernel and choose a new value to the optimal
bandwidth, which have an important role in the estimation process.
This research present a novel reconfigurable patch antenna
to support 5G and previous generations frequency bands ,at this
proposed method multi slots have been made in microstrip patch
antenna and three PIN diode at ground The Reconfigurability i
s
done by changing the status (ON - OFF) of the PIN diode on ground
substrate to get butter current distribution on the surface which
led to multiple BW .
.In this paper we present a new method to improve microstrip
patch antenna bandwidth to support 5Generatiton and previous
generations frequency bands ,at our proposed method multi slots
have been made in microstrip patch antenna to get the
maximu
m current distribution on the surface & get desired
improvements.
This work aims to analyze the performance of Orthogonal Frequency Division
Multiplexing (OFDM) applied in the fourth generation mobile networks and WiFi. Fuzzy
logic technique is used in this study to analyze the problem of OFDM, taking into
consi
deration the modulation techniques applied in OFDM. Three input parameters in the
fuzzy logic system are mainly considered: signal-to-noise ratio, the modulation degree and
the number of sub-carriers. The output parameters are selected to be the bandwidth and bit
error rate. This requires an analytical study to determine the optimal values of the input
parameters used in this study. This means studying the membership of functions of each
input and output parameter using fuzzy logic.
Providing a good Quality of Service (QoS) for all users is a big challenge in Cellular Networks, as soon as the number of users increases the demand on Internet service increases too especially with using the current technology of today. While on mov
e a user needs Internet connectivity with good Quality of Service and minimum call dropping probability.
Cellular IP presents a good solution mobility as it supports highly mobile users, users' needs are becoming larger and more multifarious (files downloading, video streaming, sending an e-mail….) there for the need for efficient way to improve QoS is necessity.
Bandwidth is the most important factor in Cellular IP Networks, for improving QoS in Cellular IP Networks a model for bandwidth management is presented in this paper, the model presented here is based on borrowing bandwidth reserved to non-real-time users using Particle Swarm Optimization (PSO) the proposed model preserves a low bandwidth threshold for the ongoing non-real-time calls. This threshold is the security limit that keeps non-real-time calls from being dropped. This research models handoff process and proposes a technique that gives the lowest percentage of dropped and blocked hand offs. Simulation results show the efficacy of the proposed model.
Available bandwidth has a significant impact on the performance of many applications that
run over computer networks. Therefore, many researchers pay attention to this issue through
the study of the possibility of measuring the available bandwidth,
and disseminating tools for
measuring this metric. We present a method to estimate the available bandwidth for a path,
by building, sending, and receiving probe packets. We measure the time gap between probing
packets before sending and after receiving, then we estimate the available bandwidth. This
method relies on an easy and fast algorithm. Applications can use this method before they
start exchanging data over the Internet.
