From Fixed to Mobile Convergence

Author(s):  
John Ayoade

The aim of Fixed-Mobile Convergence (FMC) is to provide both fixed-line and mobile telephony services to users through the same handset which could switch between networks and support both wide-area mobile network access and local-area connection to fixed-line technology, typically through a local wireless connection. An important feature of FMC is to allow users to access a consistent set of services from any fixed or mobile terminal via any compatible access point, independent of access network it is attached to. The chapter discusses the benefits and challenges of the FMC. It also analyse the efforts that have been put into realising the potentials that FMC promised in the nearest future.

Due to heavy demand of data uses and exponential increase in mobile users mobile network is suffering from heavy traffic overload in the metropolitan area network. Therefore, due to congestion as well as network overload mobile users are experiencing coverage issues such as latency, network access and very low throughput. At present network operators are actually capping data usages and throttling in speed of connection have very negative impact on satisfaction of mobile users. In such a scenario alternate solutions are expected like access point (AP) based network can be used as a complementary network. In this paper we have proposed a seamless LTE-Wi-Fi architecture by using packet gateway in LTE and Wi-Fi for maintaining the seamless connectivity for users and Wi-Fi is used as a complementary network over LTE. This proposed architecture has ANQP-DS (Access network query protocol Data Server) and AZC (Access Zone Control) are two main components to Wi-Fi network for balancing and controlling the load of User equipment’s (UE) in between access points (AP). It can used as one of the mechanism in the LTE and Wi-Fi Integration Process.


2020 ◽  
pp. 41-56
Author(s):  
Andreas Kunz ◽  
Apostolis Salkintzis

Non-3GPP Access technologies such as WLAN technologies can be connected to the 3GPP core network like EPC (Evolved Packet Core) in various ways based on the operator’s business models and architectural preferences. The desire to provide this access to the 5G core network, currently defined in 3GPP, requires the design of new protocols and procedures in order to fulfill all requirements. This paper describes the current status of the specification in Release 15 of the untrusted non-3GPP access where the mobile operator does not trust the access point and tunnels all traffic to a trusted gateway in the mobile network. Further, the paper provides an outlook of the new Release 16 feature for trusted non-3GPP access, i.e. the mobile operator trusts the access point, as well as the feature for 5G core network access from WLAN devices with 3GPP credentials that do not support the Non Access Stratum protocol.


2019 ◽  
Author(s):  
Halimatussa'diyah

The level of security at Local Area Network (LAN) that used today requires renewable technology. If the technology used is generally outdated and only uses a single password for protection, it is going to be easy to attacked by cyber criminals. Captive Portal is a static web page that force the user to login if want to use the network, it also needed for redirecting any user to specific partners website. RADIUS will take care for the validity from the user because RADIUS is an AAA Protocol (Authentication, Authorization, Accounting) for application like a network access or dynamic IP. RADIUS enables for server to filter anyone that want to enter the network. It will eliminates the vulnerability from the usage of network access and make the local area network more secure.


Author(s):  
Sihem Trabelsi ◽  
Noureddine Boudriga

The fourth generation of mobile wireless networks (4G) is expected to be the most promising architecture for QoS provision due to its scalability, convenience for mobility support and capability of interworking heterogeneous radio access networks, which ensure both session continuity and QoS support. One major design issue of the 4G is the support of optimized handoff functionalities. More specifically, total disruption during a handoff should be minimized and its complexity hidden to end users. In this regard, the authors focus on developing new dynamic predictive resource reservation schemes in 4G for both uplink and downlink to maximize handoff success probability. The paper illustrates how to reserve radio resources according to future mobile terminal location expressed in a probabilistic way, to load conditions or target Base Station/Access point BS/AP and to the specificity of the data structure of each access network. Different resource reservation algorithms are devised. The objective is to efficiently utilize wireless radio resources, enhance the handoff performances and improve system performance.


Author(s):  
Michail Katsigiannis

The mobile data traffic growth and the high fraction of indoor-generated traffic push mobile operators to devise new deployment strategies such as mobile network offloading. The purpose of this paper is to evaluate the energy consumption and the deployment cost, based on the demanded traffic level, for a joint macro-femtocell network which enables mobile network offloading in Helsinki Metropolitan Area by 2015. This deployment is compared to an optimized only macro cellular network. The study tries to resolve under what conditions, in terms of demanded traffic, deployment cost and energy consumption, a mobile operator should deploy femtocells. Assuming that only the new network infrastructure is installed by 2015, the results show that wide-to-local area offloading is beneficial for a mobile operator to handle the mobile data traffic growth, reduce the deployment costs and the energy consumption of the radio access network.


Author(s):  
Lujie Tang ◽  
Bing Tang ◽  
Li Zhang ◽  
Feiyan Guo ◽  
Haiwu He

AbstractTaking the mobile edge computing paradigm as an effective supplement to the vehicular networks can enable vehicles to obtain network resources and computing capability nearby, and meet the current large-scale increase in vehicular service requirements. However, the congestion of wireless networks and insufficient computing resources of edge servers caused by the strong mobility of vehicles and the offloading of a large number of tasks make it difficult to provide users with good quality of service. In existing work, the influence of network access point selection on task execution latency was often not considered. In this paper, a pre-allocation algorithm for vehicle tasks is proposed to solve the problem of service interruption caused by vehicle movement and the limited edge coverage. Then, a system model is utilized to comprehensively consider the vehicle movement characteristics, access point resource utilization, and edge server workloads, so as to characterize the overall latency of vehicle task offloading execution. Furthermore, an adaptive task offloading strategy for automatic and efficient network selection, task offloading decisions in vehicular edge computing is implemented. Experimental results show that the proposed method significantly improves the overall task execution performance and reduces the time overhead of task offloading.


2016 ◽  
Vol 3 (1) ◽  
pp. 31-39
Author(s):  
F Ammar ◽  
Hanafi Hanafi

WiFi bekerja pada band 2,4 GHz dan 5 GHz. Standar WiFi yang bekerja pada frekuensi ini antara lain IEEE802.11g dan IEEE802.11a. Pada penelitian ini dilakukan pengukuran terhadap transfer rate download dan upload data dengan standar IEEE802.11g dan IEEE802.11a. Pengukuran dilakukan pada kanal Line of Sight (LOS), menggunakan dua buah laptop yang dihubungkan dengan Access Point (AP) standar IEEE802.11g dan IEEE802.11a.  Hasil penelitian diperoleh, pada standar IEEE802.11g, transfer rate download dan upload data tertinggi 2.662,54.KB/s dan 2.549,60 KB/s, dan terendah 484,50.KB/s dan 477,40 KB/s, sedangkan pada standar IEEE802.11a, transfer rate download dan upload data tertinggi 8.104,68 KB/s dan 5.744,24 KB/s, dan terendah 872,24 KB/s dan 465,38.KB/s. Pada standar IEEE802.11g, transfer rate download dan upload data pada sinyal terendah hingga di bawah 35% dan 30%, dari transfer rate download dan upload data tertinggi. Pada standar IEEE802.11a, transfer rate download dan upload data pada kualitas sinyal terendah hingga di bawah 20% dan 30%, dari transfer rate download dan upload data tertinggi. Kemampuan transfer rate download data Standar IEEE802.11a, 2–3 kali lebih baik pada kondisi kualitas sinyal tertinggi, dan tidak lebih dari 2 kali pada kondisi kualitas sinyal terendah, dibandingkan kemampuan transfer rate download data standar IEEE802.11g. Kemampuan transfer rate upload data Standar IEEE802.11a, 1,4–3 kali lebih baik pada kondisi kualitas sinyal tertinggi, dan 1-3 kali lebih baik pada kondisi kualitas sinyal terendah, dibandingkan kemampuan transfer rate upload data standar IEEE802.11g.


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