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2nd International Conference on 5G for Ubiquitous Connectivity

Part of the EAI/Springer Innovations in Communication and Computing Book Series

Editors: Ye, Baoliu; Zhuang, Weihua; Guo, Song

DOI: 10.1007/978-3-030-22316-8

ISBN: 978-3-030-22315-1

Publisher: Springer International Publishing - Springer Journals

Dec 31, 2019

1 - 10 of 15 Chapters

LitStream

Chapter 1Collaborative Inference for Mobile Deep Learning Applications

Yang, Qinglin; Luo, Xiaofei; Li, Peng; Miyazaki, Toshiaki

Pages: 1 –12

[Deep learning makes people enjoy a more convenient as well as smarter mobile life. It is an interesting yet much challenging topic to enable efficient mobile deep learning applications. Traditional approach to tackle this challenge is to employ cloud computing by offloading the computation tasks...
LitStream

Chapter 2Compressed Sensing Channel Estimation for LTE-V

Chelli, Kelvin; Theodory, Ramzi; Herfet, Thorsten

Pages: 13 –24

[The evolution of the LTE standard with Release-14 has introduced several changes in the physical layer with a goal of catering to the needs of Intelligent Transportation Systems (ITS). Some of the changes include the use of SC-FDMA, a modified pilot pattern and improved scheduling. Typical...
LitStream

Chapter 3Power Allocation Scheme for Non-Orthogonal Multiple Access in Cloud Radio Access Networks

Wen, Benben; Liu, Tao; Yu, Xiangbin; Xu, Fengcheng

Pages: 25 –33

[In this paper, the power allocation (PA) for maximizing sum rate in downlink cloud radio access networks based on non-orthogonal multiple access (C-RAN-NOMA) is explored. Specifically, we consider a downlink C-RAN which includes two paired NOMA-users served by several uniformly distributed...
LitStream

Chapter 4Energy Efficient Optimization Scheme for Uplink Distributed Antenna System with D2D Communication

Wang, Guangying; Teng, Tao; Yu, Xiangbin; Zhu, Qiuming

Pages: 35 –43

[In this paper, we develop an energy-efficient optimization scheme for uplink distributed antenna system (DAS) with Device-to-Device (D2D) communication. Firstly, we establish the DAS model with D2D communication. Then, the optimization problem for energy efficiency (EE) maximization with the...
LitStream

Chapter 5A Cluster-Based Interference Management with Successive Cancellation for UDNs

Yang, Lihua; Zhao, Junhui; Gao, Feifei; Gong, Yi

Pages: 45 –58

[Due to numerous base stations (BSs) being randomly deployed in ultra-dense networks (UDNs), the co-tier interference and cross-tier interference become more and more serious. We propose an interference management scheme based on joint clustering, subchannel allocation and successive cancellation...
LitStream

Chapter 6Delay Sensitive Application Partitioning and Task Scheduling in Mobile Edge Cloud Prototyping

Lakhan, Abdullah; Sajnani, Dileep Kumar; Tahir, Muhammad; Aamir, Muhammad; Lodhi, Rakhshanda

Pages: 59 –80

[Mobile Edge Cloud Prototype (MEC) allows resource-constraint mobile device to execute computation intensive and delay sensitive applications (i.e., Augmented Reality, Healthcare, Virtual Reality and so on) in a collaborative manner. The offloading system in the MEC is a technique which divides...
LitStream

Chapter 7Clustering Priority-Based User-Centric Interference Mitigation Scheme in the Ultra Dense Network

Wu, Guomin; Tan, Guoping; Feng, Fei; Wang, Yannan; Xun, Hanfu; Wang, Qi; Jiang, Defu

Pages: 81 –95

[Ultra-dense network (UDN) downlink interference is researched in this paper, where some neighboring base stations significantly interfere with objective user. This problem arises from increasing node deployment density in UDN. And serious interference generates from neighboring inter-cell. With...
LitStream

Chapter 8SAR Target Recognition via Enhanced Kernel Sparse Representation of Monogenic Signal

Ning, Chen; Liu, Wenbo; Zhang, Gong; Wang, Xin

Pages: 97 –106

[A novel synthetic aperture radar (SAR) target recognition algorithm based upon the enhanced kernel sparse representation of monogenic signal is presented in this work. It contains two parts. First, to capture spatial and spectral properties of a target at the same time, a multi-scale monogenic...
LitStream

Chapter 9Optimization of FBMC Waveform by Designing NPR Prototype Filter with Improved Stopband Suppression

Hua, Jingyu; Wen, Jiangang; Wang, Anding; Xu, Zhijiang; Li, Feng

Pages: 107 –120

[FBMC can relax the out-of-band emissions problem in OFDM by using well-designed prototype filter such as the isotropic orthogonal transform algorithm. In order to achieve more flexibility in filter performances as well as to improve FBMC frequency selectivity, this paper puts forward a design...
LitStream

Chapter 10Robust Spectrum-Energy Efficiency for Green Cognitive Communications

Cui, Cuimei; Yang, Dezhi; Jin, Shi

Pages: 121 –130

[Cognitive radio technologies are conceived as an emerging way to deal with the problem of current spectrum crisis. However, due to the growth of low power consumption devices and the increasing complexity of network structures in massive Internet of Things, 5G and B5G communication scenarios,...

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