IEEE Communications Magazine
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9.27
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Published on Feb 1, 2019in IEEE Communications Magazine 9.27
Bernard Fong3
Estimated H-index: 3
,
Haesik Kim
The three articles in this special section examine the design and implementation of devices, circuits and systems. Featured is information in telecommunication devices, circuits, and systems advances and developments. Numerous industrial sectors such as healthcare, automotive, energy, agriculture, smart manufacturing, smart city, VR/ AR/hologram, drone, and consumer electronics industries are becoming increasingly more dependent on information and communication technology solutions.
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Published on Jan 1, 2019in IEEE Communications Magazine 9.27
Yuxiu Hua1
Estimated H-index: 1
,
Zhifeng Zhao13
Estimated H-index: 13
+ 3 AuthorsHonggang Zhang22
Estimated H-index: 22
Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values. Learning long-range dependencies that are embedded in time series is often an obstacle for most algorithms, whereas Long Short-Term Memory (LSTM) solutions, as a specific kind of scheme in deep learning, promise to effectively overcome the problem. In this article, we first give a brief introduction to the structure and forward propagation mechanism o...
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Published on Feb 1, 2019in IEEE Communications Magazine 9.27
Rongrong Zhang , Amiya Nayak33
Estimated H-index: 33
,
Jihong Yu
WBANs offer a variety of medical applications and have received considerable attention in recent years. Due to the limited energy of sensors, prolonging network lifetime is of paramount importance for WBANs. Although duty-cycling techniques can conserve energy consumption and energy harvesting techniques can provide extra energy supply, the former leads to huge data delivery delay and the latter cannot supply energy infinitely and stably. Therefore, how to maximize network lifetime at low latenc...
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Published on Mar 1, 2019in IEEE Communications Magazine 9.27
Qimei Cui13
Estimated H-index: 13
,
Zhenzhen Gong + 4 AuthorsTao Xiaofeng17
Estimated H-index: 17
ML has been increasingly adopted in wireless communications, with popular techniques, such as supervised, unsupervised, and reinforcement learning, applied to traffic classification, channel encoding/ decoding, and cognitive radio. This article discusses a different class of ML technique, stochastic online learning, and its promising applications to MEC. Based on stochastic gradient descent, stochastic online learning learns from the changes of dynamic systems (i.e., the gradient of the Lagrange...
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Published on Jan 1, 2019in IEEE Communications Magazine 9.27
Lucas Bondan2
Estimated H-index: 2
,
Muriel Figueredo Franco2
Estimated H-index: 2
+ 10 AuthorsElias Procópio Duarte10
Estimated H-index: 10
The emergence of NFV has drawn the attention of academia, standardization bodies, and industry, because of the possibility of reducing capital and operational costs while introducing innovation in computer networks. To enable developers to independently publish and distribute VNFs, marketplaces akin to online application stores are essential. Research efforts in several aspects are necessary to enable wider adoption of such online application stores in emerging NFVbased computer networks. This a...
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Published on Jan 1, 2019in IEEE Communications Magazine 9.27
Su Yee Aye1
Estimated H-index: 1
,
Boon Poh Ng14
Estimated H-index: 14
The article explains the orientational beamforming concept from a perspective of spread-spectrum communication not in the frequency domain but in the spatial domain. In the orientational beamforming concept, radiated signal energy is spread over a certain part of or the entire angular range by a transmit array with randomly (practically pseudo-random) distributed antennas. At the receiving end, an identical pseudo-random array is employed so that the matching of the antenna distributions between...
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Published on Feb 1, 2019in IEEE Communications Magazine 9.27
Sang Won Choi6
Estimated H-index: 6
,
Yong-Soo Song3
Estimated H-index: 3
+ 1 AuthorsJuyeop Kim7
Estimated H-index: 7
In this article, we study feasibility issues of mission-critical push-to-talk (MCPTT), which is an evolution of a group communication service for public safety use. Along with the overall standardization of the MCPTT in the Third Generation Partnership Project (3GPP), distinguishing features of MCPTT are investigated in comparison with Open Mobile Alliance (OMA) PTT over cellular (PoC). Based on the requirements of MCPTT, we elaborate on various technologies that need to be leveraged for minimiz...
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Published on Mar 1, 2019in IEEE Communications Magazine 9.27
The Internet of Things (IoT) is a novel network that transforms our future by interconnecting everything. With the rapid deployment of IoT devices and applications, a large amount of data is introduced into the network. Hence, we may suffer spectrum scarcity issue due to the massive data. Cognitive radio (CR) is a potential solution for addressing this issue, which can improve spectrum efficiency by dynamic spectrum access. The IoT device with CR capability has become a new research interest. In...
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Published on Mar 1, 2019in IEEE Communications Magazine 9.27
Xilong Liu3
Estimated H-index: 3
,
Nirwan Ansari49
Estimated H-index: 49
With the ongoing worldwide development of IoT, an unprecedented number of IoT devices imperatively consume a substantial amount of energy. IoT devices have been predicted to be the leading energy guzzler in Information and Communications Technology by 2020. In considering the finite amount of brown energy sources along with their potential harmful impacts to the climate and environment, we propose to leverage "free" green energy to power IoT devices and revolutionarily enable wireless charging o...
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Published on Mar 1, 2019in IEEE Communications Magazine 9.27
Bin Cao , Long Zhang + 2 AuthorsWei Cao
Multi-access edge computing (MEC), which is deployed in the proximity area of the mobile user side as a supplement to the traditional remote cloud center, has been regarded as a promising technique for 5G heterogeneous networks. With the assistance of MEC, mobile users can access computing resource effectively. Also, congestion in the core network can be alleviated by offloading. To adapt in stochastic and constantly varying environments, augmented intelligence (AI) is introduced in MEC for inte...
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