The smart grid is conceived of as an electric grid that can deliver electricity in a controlled, smart way from points of generation to active consumers. Demand response (DR), by promoting the interaction and responsiveness of the customers, may offer a broad range of potential benefits on system operation and expansion and on market efficiency. Moreover, by improving the reliability of the power system and, in the long term, lowering peak demand, DR reduces overall plant and capital cost investments and postpones the need for network upgrades. In this paper a survey of DR potentials and benefits in smart grids is presented. Innovative enabling technologies and systems, such as smart meters, energy controllers, communication systems, decisive to facilitate the coordination of efficiency and DR in a smart grid, are described and discussed with reference to real industrial case studies and research projects.

Demand response and smart grids—A 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

With the explosive growth of mobile data demand, the fifth generation (5G) mobile network would exploit the enormous amount of spectrum in the millimeter wave (mmWave) bands to greatly increase communication capacity. There are fundamental differences between mmWave communications and existing other communication systems, in terms of high propagation loss, directivity, and sensitivity to blockage. These characteristics of mmWave communications pose several challenges to fully exploit the potential of mmWave communications, including integrated circuits and system design, interference management, spatial reuse, anti-blockage, and dynamics control. To address these challenges, we carry out a survey of existing solutions and standards, and propose design guidelines in architectures and protocols for mmWave communications. We also discuss the potential applications of mmWave communications in the 5G network, including the small cell access, the cellular access, and the wireless backhaul. Finally, we discuss relevant open research issues including the new physical layer technology, software-defined network architecture, measurements of network state information, efficient control mechanisms, and heterogeneous networking, which should be further investigated to facilitate the deployment of mmWave communication systems in the future 5G networks.

A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges

Cognitive radio (CR) is the enabling technology for supporting dynamic spectrum access: the policy that addresses the spectrum scarcity problem that is encountered in many countries. Thus, CR is widely regarded as one of the most promising technologies for future wireless communications. To make radios and wireless networks truly cognitive, however, is by no means a simple task, and it requires collaborative effort from various research communities, including communications theory, networking engineering, signal processing, game theory, software-hardware joint design, and reconfigurable antenna and radio-frequency design. In this paper, we provide a systematic overview on CR networking and communications by looking at the key functions of the physical (PHY), medium access control (MAC), and network layers involved in a CR design and how these layers are crossly related. In particular, for the PHY layer, we will address signal processing techniques for spectrum sensing, cooperative spectrum sensing, and transceiver design for cognitive spectrum access. For the MAC layer, we review sensing scheduling schemes, sensing-access tradeoff design, spectrum-aware access MAC, and CR MAC protocols. In the network layer, cognitive radio network (CRN) tomography, spectrum-aware routing, and quality-of-service (QoS) control will be addressed. Emerging CRNs that are actively developed by various standardization committees and spectrum-sharing economics will also be reviewed. Finally, we point out several open questions and challenges that are related to the CRN design.

Cognitive radio networking and communications: an overview

Millimeter wave (mmWave) communications have recently attracted large research interest, since the huge available bandwidth can potentially lead to the rates of multiple gigabit per second per user Though mmWave can be readily used in stationary scenarios, such as indoor hotspots or backhaul, it is challenging to use mmWave in mobile networks, where the transmitting/receiving nodes may be moving, channels may have a complicated structure, and the coordination among multiple nodes is difficult To fully exploit the high potential rates of mmWave in mobile networks, lots of technical problems must be addressed This paper presents a comprehensive survey of mmWave communications for future mobile networks (5G and beyond) We first summarize the recent channel measurement campaigns and modeling results Then, we discuss in detail recent progresses in multiple input multiple output transceiver design for mmWave communications After that, we provide an overview of the solution for multiple access and backhauling, followed by the analysis of coverage and connectivity Finally, the progresses in the standardization and deployment of mmWave for mobile networks are discussed

Millimeter Wave Communications for Future Mobile Networks

C-V2X (Cellular-Vehicle-to-Everything) is a radio communication system, standardized in 3GPP, for connecting vehicles. In particular, V2X using 5G New Radio (NR), standardized since Release 16, is examined to set up multiple Base Stations (BSs) for securing a wide communication area. However, practical and cost issues are associated with installing many BSs for V2X. Sidelink communication, which is a direct V2V (Vehicle-to-Vehicle) communication between the user equipment (UEs) aids in further expanding the communication area without increasing the BSs, and configures a relay route between the UEs via the BS and roadside unit (RSU). However, as no relay route construction method using the 5G NR control data exists, there is no evaluation of V2V communication’s transmission characteristics using the relay routing method. This study proposes a new relay routing scheme for 5G NR V2V wherein an effective distance based on the quality of communication among the BSs, RSUs, and terminals is provided. Moreover, a relay node for realizing a path with minimal number of frames required for end-to-end (E2E) communication from the source to the destination node is selected. The transmission characteristics of the proposed method were evaluated and verified in the 3GPP environment, where a packet reception ratio of 0.9 was achieved even when the number of BS to be installed was reduced by 1/6.

Highly Efficient Relay Routing Method for 5G Cellular V2V Communications

Experimental Performance Evaluation of Multi-Hop Configuration and Transmission in Wi-SUN FAN Devices

Cognitive radio(CR) has become an enabling tech- nology to realize dynamic spectrum access through its spectrum sensing and reconfigurable capability. Robust and reliable spec- trum sensing is needed to discover spectrum opportunity. Single cognitive radios often fail to provide such reliable information due to their inherent sensitivity limitation. Primary signals that are subject to detection by cognitive radios may become weak due to several factors such as fading and shadowing. One approach to alleviate this problem is to perform the spectrum sensing by using multiple CRs or multiple spectrum sensors. This approach known as distributed sensing because sensing is carried out through cooperation of spatially distributed sensors. In distributed sensing, sensors should perform spectrum sensing and forward the result to a destination where data fusion is carried out. In this paper we introduce a concept of a dual-purpose spectrum sensor that can combine the sensing and communication functions. The dual-purpose sensor reuses its detection hardware for both functions resulting in a less hardware complexity. We consider IEEE802.15.4a UWB PHY for communication and energy detection for spectrum sensing. Index Terms—Cognitive radio, spectrum sensing, energy de- tection, ultra-wideband, dual-purpose spectrum sensor

Dual-Purpose Spectrum Sensor Using IEEE802.15.4a UWB PHY and Energy Detection

Field Experiment of IEEE 802.15.4 Based High-Speed FSK Transmission Scheme

PROBLEM TO BE SOLVED: To provide high-speed and large-capacity communication and to perform high-precision decoding SOLUTION: An initial channel estimation section 31 estimates an initial channel by using a pilot symbol added to the head of each packet After the replica of a transmission symbol is generated, CCI components of every L transmitting antennas are generated as to a received signal vector and removed from the received signal vector by a CCI canceler 33 After a received symbol vector after CCI component removal is obtained, a divider 34 acquires an instantaneous estimated value An update condition decision section 35 detects deterioration in channel response amplitude based upon a threshold An instantaneous estimated value decided to be deficient in SNR is discarded A channel response estimation matrix at time t+1 is output from an averaging circuit 36 through averaging processing and supplied to a symbol decoding section 13 COPYRIGHT: (C)2007,JPO&INPIT

Hiroshi Harada

Papers

Highly Efficient Relay Routing Method for 5G Cellular V2V Communications

Experimental Performance Evaluation of Multi-Hop Configuration and Transmission in Wi-SUN FAN Devices

Dual-Purpose Spectrum Sensor Using IEEE802.15.4a UWB PHY and Energy Detection

Field Experiment of IEEE 802.15.4 Based High-Speed FSK Transmission Scheme

Device and method for decoding signal, program, and information recording medium