Summary: is about how to maintain sending and receiving

Summary: This acritical is in the field of Data
Communication. In this summary, I will explain what this article about. In the
communication networks, the two way communication should be provided to the
users, such as data communication, voice and video 1. Like a human
communication can listen and speak. On the same hand, the human communication
must be clear, understandable and same language. On the other hand, in the
communication networks, the communication of data should be in optimal way such
as good quality, less cost, no wasting of the resources and best route of
sending the data. I have selected this paper, that the author proposed a novel
method to make sure that the data communication is maintained the call when the
users are moving. The best cell selection is presented in this paper to provide
high quality of service (QoS). The method is about selecting the optimized
route for the data to be transmitted while the user is moving. This process of
selecting the best route is called cell selection, as a part of handover
process. The new networks of 5’th generation is called Long Term Evolution
(LTE). Generally, the cell is referred to the base station that always
broadcasting the data in a specific network. 3 Moreover, the author employs an
integrated fuzzy technique for order preference by using similarity to ideal
solution (TOPSIS) which is one of the famous decision making method. The reason
for using this method is because the author proposal including three new
criteria for selection the best route, or cell selection. Therefore, to make
the best decision on these criteria Fuzzy TOPSIS is used. Finally, the author
demonstrated that the results are the best among other methods, at the time of
the article being published, January 2016. Describing the main topic: The topic
of the article is about how to maintain sending and receiving data in the
network successfully, while the user is moving, we have to have good method for
collecting the best cell. Cell selection poses an important influence on
network performance, and this becomes more critical with user mobility to
achieve seamless handover, maintain the call on going. Although a successful
handover is accomplished, it might be into a wrong cell, poor service, when the
selected cell is not an optimal one in terms of signal quality and bandwidth.
The conventional cell selection in Long Term Evolution (LTE) is based on
S-criterion, which is inadequate since it only relies on downlink signal
quality. This may cause significant interference to other cells, which causes
handover failure (HOF), handover ping-pong (HOPP) and consequently degrades
cell throughput. In this article, the author addressed how to provide an
optimal cell-selection scheme in macrocells that allows a roaming UE to
reconnect to the most suitable cell while maintaining its quality of service
(QoS) requirement. This is achieved at a lower 4 handover ping-pong and
handover failure, respectively, resulting in higher cell throughput gain. Fuzzy
TOPSIS is employed as an MCDM that performs ratings and weights represented by
linguistic variables. Where, TOPSIS is stand for technique for order preference
by using similarity to ideal solution. The choices to be made are the candidate
cells to be selected by the decision-maker, which, in this case, is a UE, based
on the new proposed criteria, which are RBs and uplink interference as well as
Scriterion. Describe the various theoretical perspective The methodology is
different from the conventional cell-selection. The method is based on the
downlink signal quality for optimizing handover. However, this method is
inefficient to find the suitable cell due to rapid fluctuations of signal
strength in a real environment. This leads to an increase in handover ping-pong
and handover failure ratio, resulting in a heavy burden on the LTE networks.
The FMCCS promises good QoS guarantee, especially for real-time services. The
author deploys multicriteria optimization, which is the process of determining
the best feasible solution according to the criteria. It consists of two main
phases: collecting the data and ranking the alternatives. These two phases
executed this sequence below: 1- Identifying System Parameters 2- Constructing
the Criteria 3- Evaluating the Preferences Criteria 4- Performance Assessment
5- Identifying Weight and making decision 5 Results The main finding is to
optimize cell selection scheme to maintain a given QoS by way of reduced
handover ping pong, handover failure and at the same time increase the cell
throughput. A new cell-selection scheme for optimizing handover procedures in
LTE is presented. It has been especially designed to minimize handover
ping-pong and handover failure, and subsequently results in increased throughput.
The results demonstrate that FMCCS presents an effective method to choose a
suitable cell for handover at various UE speeds. This algorithm is more
reliable and accurate for handover process with multiple criteria for making
decisions. The multicriteria take into consideration the S-criterion,
availability of RBs, and uplink SINR using an integrated fuzzy TOPSIS. The
cellselection ranks all candidate cells based on FMCCS. The computational
process of fuzzy TOPSIS time is small. FMCCS provides an optimal cell-selection
scheme that allows UEs to reconnect to the best suitable cell while maintaining
the QoS at a lower handover ping-pong and handover failure ratio, respectively,
with higher throughput without using handover parameters optimization. FMCCS results
have been compared with the conventional and CSS methods and it has been
demonstrated that FMCCS gives significant improvement over the latter.
Conclusions The main conclusions that the author come out with, is that the
more reliable method is needed to provide a high quality of service. To achieve
such good service an optimized cell selection is proposed. As there are three
new criteria to select the best cell, the author find that it should be use one
of the good decision making methods. The fuzzy TOPSIS is 6 used for the purpose
of diction making on cell selection. The computational process of fuzzy TOPSIS
time is small. FMCCS provides an optimal cell-selection scheme that allows UEs
to reconnect to the best suitable cell while maintaining the QoS at a lower
handover ping-pong and handover failure ratio, respectively, with higher
throughput without using handover parameters optimization. The author concludes
that the proposed method is outperformance of all other existed methods in
terms of complexity, users’ speeds, and resources availability, at different
scenarios.