Abstract:
Cellular traffics are increased from time to time.This traffic increase will be difficult
for the cellular network to handle everything on its own. To handle this traffic 5G
uses millimeter wave technology which have frequency range 30Ghz- 300Ghz.But
there is a problem with this millimeter wave in using it in 5G is that waves at these
wavelength(1-10mm) gets easily attenuated by the surrounding and they cannot
penetrate from a thick wall as well. Configuration of many small cells may solve
this problem, which is expensive. This work studies a routing scheme for offloaded
5G cellular data where the data at a user’s telephone set will be first collect in
WiFi queue to offload over WiFi and if the WiFi connection is inactive in the
user’s telephone set then the data will wait in the queue for a given deadline and
while it waits in the WiFi queue, the user’s telephone set will try to set up a device
to device (D2D) connection with a neighboring telephone set with an active WiFi
connection. When the deadline will reach for the data in the WiFi queue, the user
data will be directed to the neighboring telephone set which has an active WiFi
connection and which will permit the user’s data to be offloaded through it, else,
if no telephone set with an active WiFi connection is found in the environment,
after the deadline the data will be sent to the BTS through several small cells.
This routing technique increases the probability of getting the wifi server for the
user. The Matlab simulation shows transmission delay can be reduced by increasing the deadline rate and also it shows for the same time interval D2D (situation
2)offloading has better utilization factor from delayed wifi offloading (situation 1)
and D2D offloading has less average queue length than a WiFi offloading. This
shows that D2D offloading has better transmission rate. The result analyzes the
effect of increasing number of servers on utilization factor. The simulation result shows that D2D based wifi offloading is 20% more efficient than delayed wifi
offloading interms of utilization factor.