A Perspective on Self-Optimization in Next Generation Cellular Networks

Author(s):  
Sumita Mishra ◽  
Nidhi Mathur

During the past few decades wireless technology has seen a tremendous growth. The recent introduction of high-end mobile devices has further increased subscribers' demand for high bandwidth and quality of service. The number of nodes in future cellular systems will be too large to be configured and maintained manually. Further the mobility of users, the varying nature of the wireless channel and variation in user demand systems requires optimization of network parameters and delay in configuration may cause congestion and poor Quality of Service. Due to this increased complexity and the huge scale of wireless systems the network configuration, optimization and maintenance process performed by radio engineers has become inefficient and therefore, lot of research is being done to introduce self-optimizing capabilities within the network, which is expected to permit higher end user Quality of Service (QoS) and less operation cost and maintenance cost for telecom service providers. This chapter details the key aspects related to self optimization of next generation cellular networks.

2021 ◽  
Author(s):  
◽  
Alexander Deng

<p>Microwave backhaul networks are the dominant technology used to connect together access and core networks for their flexibility and cost-effectiveness in deployment. Unfortunately, microwave backhaul networks are susceptible to interference and are statically managed leading to poor Quality of Service (QoS) in the form of high delays and loss as well as being inefficient on energy. The use of Software Defined Networking (SDN) is proposed to address these problems by dynamically managing resources to work around the interference and remove static allocations. Two new algorithms, CUT and OptiCUT were designed to compute an optimal topology, to minimise loss and delay while at the same time reducing power consumption.</p>


Author(s):  
Mário P. Véstias ◽  
Horácio C. Neto

The recent advances in IC technology have made it possible to implement systems with dozens or even hundreds of cores in a single chip. With such a large number of cores communicating with each other there is a strong pressure over the communication infrastructure to deliver high bandwidth, low latency, low power consumption and quality of service to guarantee real-time functionality. Networks-on-Chip are definitely becoming the only acceptable interconnection structure for today’s multiprocessor systems-on-chip (MPSoC). The first generation of NoC solutions considers a regular topology, typically a 2D mesh. Routers and network interfaces are mainly homogeneous so that they can be easily scaled up and modular design is facilitated. All advantages of a NoC infrastructure were proved with this first generation of NoC solutions. However, NoCs have a relative area and speed overhead. Application specific systems can benefit from heterogeneous communication infrastructures providing high bandwidth in a localized fashion where it is needed with improved area. The efficiency of both homogeneous and heterogeneous solutions can be improved if runtime changes are considered. Dynamically or runtime reconfigurable NoCs are the second generation of NoCs since they represent a new set of benefits in terms of area overhead, performance, power consumption, fault tolerance and quality of service compared to the previous generation where the architecture is decided at design time. This chapter discusses the static and runtime customization of routers and presents results with networks-on-chip with static and adaptive routers. Runtime adaptive techniques are analyzed and compared to each other in terms of area occupation and performance. The results and the discussion presented in this chapter show that dynamically adaptive routers are fundamental in the design of NoCs to satisfy the requirements of today’s systems-on-chip.


Author(s):  
Wei Wu ◽  
Noun Choi

The recent emergence of new IP-based services that require high bandwidth and low service latency such as voice over IP (VoIP), video sharing, and music streaming have motivated the 3rd Generation Partnership Project (3GPP) to work on the all IP-based cellular networks called Evolved Packet System (EPS). It is challenging for EPS not only to meet the Quality of Service (QoS) requirements of new services but also to make sure the QoS of existing services not impacted. In this chapter, the authors will first present an overview of EPS, and then focus on the aspects of QoS principles and mechanisms in EPS. End-to-end QoS models have been developed to analyze the application performance in EPS. Simulation results have shown that VoIP service requires resource reservation to guarantee its QoS requirement, and e-mail service does not experience significant performance degradation even when assigned a low service priority and the system experiences short period congestion. However, web browsing performance may not be improved proportionally to the network bandwidth increase due to the inherent network probing procedure of the transport protocol.


2005 ◽  
Vol 5 (9) ◽  
pp. 1523-1527 ◽  
Author(s):  
Mohammod Shamim Hos ◽  
M. Anwar Hossain .

Author(s):  
Yves-Gael Billet ◽  
Christophe Gravier ◽  
Jacques Fayolle

This paper provides the state of art and hints on how to lay the foundations of an adaptive QoS approach in Next Generation Networks (NGN). The key idea is to provide a model, which would offer one application version or another, depending on the Quality of Service (QoS) negotiated at the session establishment in a NGN. The stake of this research is a better-balanced usage of the network, for maximizing the service offered to the user given his or her network capacities. It encompasses the model for such an implementation in a NGN as IP Multimedia Subsystem (IMS).


2011 ◽  
pp. 155-176
Author(s):  
Dimitrios Katsaros ◽  
Yannis Manolopoulos

The advances in computer and communication technologies made possible an ubiquitous computing environment were clients equipped with portable devices can send and receive data anytime and from anyplace. Due to the asymmetry in communication and the scarceness of wireless resources, data broadcast is widely employed as an effective means in delivering data to the mobile clients. For reasons like heterogeneous communication capabilities and variable quality of service offerings, we may need to divide a single wireless channel into multiple physical or logical channels. Thus, we need efficient algorithms for placing the broadcast data into these multiple channels so as to reduce the client access time. The present chapter discusses algorithms for placing broadcast data to multiple wireless channels, which cannot be coalesced into a lesser number of high-bandwidth channels, assuming that there are no dependencies among the transmitted data. We give an algorithm for obtaining the optimal placement to the channels and explain its limitation since it is computationally very demanding and thus unfeasible. Then, we present heuristic schemes for obtaining suboptimal solutions to the problem of reporting on their implementation cost and their relative performance.


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