Cell Selection Mechanism Based on Q-learning Environment in Femtocell LTE-A Networks

Universal mobile networks require enhanced capability and appropriate quality of service (QoS) and experience (QoE). To achieve this, Long Term Evolution (LTE) system operators have intensively deployed femtocells (HeNBs) along with macrocells (eNBs) to offer user equipment (UE) with optimal capacity coverage and best quality of service. To achieve the requirement of QoS in the handover stage among macrocells and femtocells we need a seamless cell selection mechanism. Cell selection requirements are considered a difficult task in femtocell-based networks and effective cell selection procedures are essential to reduce the ping-pong phenomenon and to minimize needless handovers. In this study, we propose a seamless cell selection scheme for macrocell-femtocell LTE systems, based on the Q-learning environment. A novel cell selection mechanism is proposed for high-density femtocell network topologies to evaluate the target base station in the handover stage. We used the LTE-Sim simulator to implement and evaluate the cell selection procedures. The simulation results were encouraging: a decrease in the control signaling rate and packet loss ratio were observed and at the same time the system throughput was increased

ACO-BASED VELOCITY-AWARE HANDOVER SCHEME FOR SEAMLESS MOBILE COMMUNICATIONS

芝浦工業大学201

Self-organised admission control for multi-tenant 5G networks

The vision of the future 5G corresponds to a highly heterogeneous network at different levels, including multiple Radio Access Technologies (RATs), multiple cell layers, multiple spectrum bands, multiple types of devices and services, etc. Consequently, the overall RAN planning and optimization processes that constitute a key point for the success of the 5G concept will exhibit tremendous complexity. In this direction, legacy systems such as 2G/3G/4G already started the path towards a higher degree of automation in the planning and optimization processes through the introduction of SON functionalities. SON refers to a set of features and capabilities designed to reduce or remove the need for manual activities in the lifecycle of the network. With the introduction of SON, classical manual planning, deployment, optimization and maintenance activities of the network can be replaced and/or supported by more autonomous and automated processes, operating costs can be reduced and human errors minimized. In this work, a self-organizing admission control algorithm for multi-tenant 5G networks is proposed and developed with novel artificial intelligence techniques. A simulation-based analysis is presented to assess the improvements of the proposed approach with respect to a baseline scheme

Self-organised admission control for multi-tenant 5G networks

The vision of the future 5G corresponds to a highly heterogeneous network at different levels, including multiple Radio Access Technologies (RATs), multiple cell layers, multiple spectrum bands, multiple types of devices and services, etc. Consequently, the overall RAN planning and optimization processes that constitute a key point for the success of the 5G concept will exhibit tremendous complexity. In this direction, legacy systems such as 2G/3G/4G already started the path towards a higher degree of automation in the planning and optimization processes through the introduction of SON functionalities. SON refers to a set of features and capabilities designed to reduce or remove the need for manual activities in the lifecycle of the network. With the introduction of SON, classical manual planning, deployment, optimization and maintenance activities of the network can be replaced and/or supported by more autonomous and automated processes, operating costs can be reduced and human errors minimized. In this work, a self-organizing admission control algorithm for multi-tenant 5G networks is proposed and developed with novel artificial intelligence techniques. A simulation-based analysis is presented to assess the improvements of the proposed approach with respect to a baseline scheme

Radio Communications

In the last decades the restless evolution of information and communication technologies (ICT) brought to a deep transformation of our habits. The growth of the Internet and the advances in hardware and software implementations modified our way to communicate and to share information. In this book, an overview of the major issues faced today by researchers in the field of radio communications is given through 35 high quality chapters written by specialists working in universities and research centers all over the world. Various aspects will be deeply discussed: channel modeling, beamforming, multiple antennas, cooperative networks, opportunistic scheduling, advanced admission control, handover management, systems performance assessment, routing issues in mobility conditions, localization, web security. Advanced techniques for the radio resource management will be discussed both in single and multiple radio technologies; either in infrastructure, mesh or ad hoc networks

An Energy-Efficient and Reliable Data Transmission Scheme for Transmitter-based Energy Harvesting Networks

Energy harvesting technology has been studied to overcome a limited power resource problem for a sensor network. This paper proposes a new data transmission period control and reliable data transmission algorithm for energy harvesting based sensor networks. Although previous studies proposed a communication protocol for energy harvesting based sensor networks, it still needs additional discussion. Proposed algorithm control a data transmission period and the number of data transmission dynamically based on environment information. Through this, energy consumption is reduced and transmission reliability is improved. The simulation result shows that the proposed algorithm is more efficient when compared with previous energy harvesting based communication standard, Enocean in terms of transmission success rate and residual energy.This research was supported by Basic Science Research Program through the National Research Foundation by Korea (NRF) funded by the Ministry of Education, Science and Technology(2012R1A1A3012227)

Telecommunications Networks

This book guides readers through the basics of rapidly emerging networks to more advanced concepts and future expectations of Telecommunications Networks. It identifies and examines the most pressing research issues in Telecommunications and it contains chapters written by leading researchers, academics and industry professionals. Telecommunications Networks - Current Status and Future Trends covers surveys of recent publications that investigate key areas of interest such as: IMS, eTOM, 3G/4G, optimization problems, modeling, simulation, quality of service, etc. This book, that is suitable for both PhD and master students, is organized into six sections: New Generation Networks, Quality of Services, Sensor Networks, Telecommunications, Traffic Engineering and Routing

Recent Trends in Communication Networks

In recent years there has been many developments in communication technology. This has greatly enhanced the computing power of small handheld resource-constrained mobile devices. Different generations of communication technology have evolved. This had led to new research for communication of large volumes of data in different transmission media and the design of different communication protocols. Another direction of research concerns the secure and error-free communication between the sender and receiver despite the risk of the presence of an eavesdropper. For the communication requirement of a huge amount of multimedia streaming data, a lot of research has been carried out in the design of proper overlay networks. The book addresses new research techniques that have evolved to handle these challenges