The vision of next generation 5G wireless communications lies in providing very high data rates (typically of Gbps order), extremely low latency, manifold increase in base station capacity, and significant improvement in users’ perceived quality of service (QoS), compared to current 4G LTE networks. Ever increasing proliferation of smart devices, introduction of new emerging multimedia applications, together with an exponential rise in wireless data (multimedia) demand and usage is already creating a significant burden on existing cellular networks. 5G wireless systems, with improved data rates, capacity, latency, and QoS are expected to be the panacea of most of the current cellular networks’ problems. In this survey, we make an exhaustive review of wireless evolution toward 5G networks. We first discuss the new architectural changes associated with the radio access network (RAN) design, including air interfaces, smart antennas, cloud and heterogeneous RAN. Subsequently, we make an in-depth survey of underlying novel mm-wave physical layer technologies, encompassing new channel model estimation, directional antenna design, beamforming algorithms, and massive MIMO technologies. Next, the details of MAC layer protocols and multiplexing schemes needed to efficiently support this new physical layer are discussed. We also look into the killer applications, considered as the major driving force behind 5G. In order to understand the improved user experience, we provide highlights of new QoS, QoE, and SON features associated with the 5G evolution. For alleviating the increased network energy consumption and operating expenditure, we make a detail review on energy awareness and cost efficiency. As understanding the current status of 5G implementation is important for its eventual commercialization, we also discuss relevant field trials, drive tests, and simulation experiments. Finally, we point out major existing research issues and identify possible future research directions.

Next Generation 5G Wireless Networks: A Comprehensive Survey

This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

The Transmission Control Protocol.

Power Aware Routing in Mobile Ad Hoc Networks

With advanced computer technology, systems are getting larger to fulfill more complicated tasks: however, they are also becoming less reliable. Consequently, testing is an indispensable part of system design and implementation; yet it has proved to be a formidable task for complex systems. This motivates the study of testing finite stare machines to ensure the correct functioning of systems and to discover aspects of their behavior. A finite state machine contains a finite number of states and produces outputs on state transitions after receiving inputs. Finite state machines are widely used to model systems in diverse areas, including sequential circuits, certain types of programs, and, more recently, communication protocols. In a testing problem we have a machine about which we lack some information; we would like to deduce this information by providing a sequence of inputs to the machine and observing the outputs produced. Because of its practical importance and theoretical interest, the problem of testing finite state machines has been studied in different areas and at various times. The earliest published literature on this topic dates back to the 1950's. Activities in the 1960's mid early 1970's were motivated mainly by automata theory and sequential circuit testing. The area seemed to have mostly died down until a few years ago when the testing problem was resurrected and is now being studied anew due to its applications to conformance testing of communication protocols. While some old problems which had been open for decades were resolved recently, new concepts and more intriguing problems from new applications emerge. We review the fundamental problems in testing finite state machines and techniques for solving these problems, tracing progress in the area from its inception to the present and the stare of the art. In addition, we discuss extensions of finite state machines and some other topics related to testing.

Principles and methods of testing finite state machines-a survey

Machine-to-Machine (M2M) refers to technologies with various applications. In order to provide the vision and goals of M2M, an M2M ecosystem with a service platform must be established by the key players in industrial domains so as to substantially reduce development costs and improve time to market of M2M devices and services. The service platform must be supported by M2M enabling technologies and standardization. In this paper, we present a survey of existing M2M service platforms and explore the various research issues and challenges involved in enabling an M2M service platform. We first classify M2M nodes according to their characteristics and required functions, and we then highlight the features of M2M traffic. With these in mind, we discuss the necessity of M2M platforms. By comparing and analyzing the existing approaches and solutions of M2M platforms, we identify the requirements and functionalities of the ideal M2M service platform. Based on these, we propose an M2M service platform (M2SP) architecture and its functionalities, and present the M2M ecosystem with this platform. Different application scenarios are given to illustrate the interaction between the components of the proposed platform. In addition, we discuss the issues and challenges of enabling technologies and standardization activities, and outline future research directions for the M2M network.

M2M Service Platforms: Survey, Issues, and Enabling Technologies

As the number of wireless subscribers rapidly increases guaranteeing the quality of services anytime, anywhere, and by any-media becomes indispensable. These services require various networks (such as CDMA2000 and Wireless LAN) to be integrated into IP-based networks, which further require a seamless vertical handoff to 4th generation wireless networks. This paper presents a seamless vertical handoff procedure between IEEE802.11 WLAN, which covers hotspot area such as offices, campuses and hotels, and the CDMA2000 cellular network that overlays the WLAN and also covers a larger area. A handoff algorithm between WLAN and CDMA2000 cellular network is proposed. In this algorithm, traffic is classified into real-time and non real-time services. Then, the beginning of handoff is decided by the handoff delay time and throughput according to traffic classes. It is also analyzed mathematically.

Vertical handoff procedure and algorithm between IEEE802.11 WLAN and CDMA cellular network

The current expansion of the Internet of things (IoT) demands improved communication platforms that support a wide area with low energy consumption. The 3rd Generation Partnership Project introduced narrowband IoT (NB-IoT) as IoT communication solutions. NB-IoT devices should be available for over 10 years without requiring a battery replacement. Thus, a low energy consumption is essential for the successful deployment of this technology. Given that a high amount of energy is consumed for radio transmission by the power amplifier, reducing the uplink transmission time is key to ensure a long lifespan of an IoT device. In this paper, we propose a prediction-based energy saving mechanism (PBESM) that is focused on enhanced uplink transmission. The mechanism consists of two parts: first, the network architecture that predicts the uplink packet occurrence through a deep packet inspection; second, an algorithm that predicts the processing delay and pre-assigns radio resources to enhance the scheduling request procedure. In this way, our mechanism reduces the number of random accesses and the energy consumed by radio transmission. Simulation results showed that the energy consumption using the proposed PBESM is reduced by up to 34% in comparison with that in the conventional NB-IoT method.

Prediction-Based Energy Saving Mechanism in 3GPP NB-IoT Networks.

Provided is a handover method, in which a call manager of a network having a Circuit Switching (CS) network, a Long Term Evolution (LTE) network, and an Internet Protocol Multimedia Subsystem (IMS) network, provides handover, from the LTE network to the CS network, to a terminal that uses one radio channel. The handover method includes upon receiving a request for handover from the terminal via a node of the LTE network, establishing a line to a Mobile Switching Center (MSC) of the CS network; sending, to the call manager, a request for a change in a session to another party's terminal in communication with the terminal, to establish an Internet Protocol (IP) bearer between the call manager and the other party's terminal; and sending a handover command to the terminal during the establishment of an IP bearer, to establish a radio channel to the base station of the CS network.

Handover apparatus and method in a heterogeneous wireless communication system

In the wireless sensor networks (WSNs), Synchronous approaches share the schedule information that specifies the cycle of active and sleep period by the control packets. On the other hand, asynchronous approaches do not exchange the synchronization information to send or receive data. Instead, they employ preamble sampling to do that. In this paper, we compare and analyze synchronous and asynchronous MAC protocols for WSNs with our two proposed schemes (AD-MAC and AS-MAC). Our proposed schemes present an enhanced adaptive duty cycling and high low power listening algorithm for energy efficiency, respectively.The performance of those two MAC mechanisms with our proposed protocols will be investigated through simulation and analysis to design the effective MAC protocol in WSNs.

Jaiyong Lee

Papers

M2M Service Platforms: Survey, Issues, and Enabling Technologies

Vertical handoff procedure and algorithm between IEEE802.11 WLAN and CDMA cellular network

Prediction-Based Energy Saving Mechanism in 3GPP NB-IoT Networks.

Handover apparatus and method in a heterogeneous wireless communication system

Performance Evaluation of Synchronous and Asynchronous MAC Protocols for Wireless Sensor Networks