IEEE Organizations related to Ultra-dense Networks

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Periodicals related to Ultra-dense Networks

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Most published Xplore authors for Ultra-dense Networks

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Xplore Articles related to Ultra-dense Networks

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A Constant Missed Detection Rate Based Spectrum Sensing for UAV Communications towards Ultra-Dense Networks

2018 10th International Conference on Communications, Circuits and Systems (ICCCAS), 2018

As the ultra-dense networks (UDNs) deploy base stations closely, unmanned aerial vehicle (UAV) communications may have serious interference on terrestrial communications. Spectrum sensing is employed for UAV. It is required a low and constant missed detection rate for UAV to avoid accessing frequency bands within licensed signals. Instead of traditional Constant False Alarm Rate (CFAR), this paper proposes a Constant ...


User-Centric C-RAN Architecture for Ultra-Dense 5G Networks: Challenges and Methodologies

IEEE Communications Magazine, 2018

Ultra-dense networks (UDNs) constitute one of the most promising techniques for supporting the 5G mobile system. By deploying more small cells in a fixed area, the average distance between users and access points can be significantly reduced; hence, dense spatial frequency reuse can be exploited. However, severe interference is the major obstacle in UDNs. Most contributions deal with the interference ...


A Super Base Station Architecture for Future Ultra-Dense Cellular Networks: Toward Low Latency and High Energy Efficiency

IEEE Communications Magazine, 2018

To meet the explosive growth of mobile data traffic, ultra-dense networks have emerged to enhance spatial and spectral efficiency. Densely deployed small cell architecture faces several major challenges, including low infrastructure utilization ratio, severe inter-cell interference, and so on. In this article, we aim to develop a novel super base station (SupBS) network architecture to tackle these issues. The proposed ...


Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer

IEEE Communications Magazine, 2018

By means of network densification, ultra dense networks (UDNs) can efficiently broaden the network coverage and enhance the system throughput. In parallel, unmanned aerial vehicle (UAV) communications and networking have attracted increasing attention recently due to their high agility and numerous applications. In this article, we present a vision of UAV-supported UDNs. First, we present four representative scenarios to show ...


A New Look at Physical Layer Security, Caching, and Wireless Energy Harvesting for Heterogeneous Ultra-Dense Networks

IEEE Communications Magazine, 2018

Heterogeneous ultra-dense networks enable ultra-high data rates and ultra-low latency through the use of dense sub-6 GHz and millimeter-wave small cells with different antenna configurations. Existing work has widely studied spectral and energy efficiency in such networks and shown that high spectral and energy efficiency can be achieved. This article investigates the benefits of heterogeneous ultra-dense network architecture from the ...


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Educational Resources on Ultra-dense Networks

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IEEE.tv Videos

IMS 2014: Wideband mmWave Channels: Implications for Design and Implementation of Adaptive Beam Antennas
Ultra Reliable Low Latency Communication for 5G New Radio - Rapeepat Ratasuk - 5G Technologies for Tactical and First Responder Networks 2018
IEEE IPC Special Session with Domanic Lavery of UCL
IEEE Sections Congress 2014: Luc Van den Hove, Wearable Medical Technology
IMS 2011 Microapps - Ultra Low Phase Noise Measurement Technique Using Innovative Optical Delay Lines
Flexible Radios and Flexible Networks
5G Networks: Slicing and Function Placement - Future X Network Panel Talk - Wolfgang Kellerer - Brooklyn 5G Summit 2018
Technologies for 5G course, Part 2 - IEEE Smart Tech Workshop
Technologies for 5G course, Part 1 - IEEE Smart Tech Workshop
Technologies for 5G course, Part 4 - IEEE Smart Tech Workshop
Security in SDN/NFV and 5G Network: Opportunities and Challenges - IEEE Future Networks Initiative
Technologies for 5G course, Part 3 - IEEE Smart Tech Workshop
Part 3 of 3: Workshop on 5G Technologies for Tactical and First Responder Networks
Brooklyn 5G Summit 2014: Dr. Robert Heath on Coverage and Capacity Analysis of Dense Millimeter Wave Cellular System
Coherent Photonic Architectures: The Missing Link? - Hideo Mabuchi: 2016 International Conference on Rebooting Computing
Operator Keynote: Bill Stone - B5GS 2019
An Ultra-Wideband Low-Power ADPLL Chirp Synthesizer with Adaptive Loop Bandwidth in 65nm CMOS: RFIC Interactive Forum
IMS 2015: Edward Tong - John Tucker Special Tribute - Ultra-wide IF Bandwidth - The Next Frontier for SIS Receivers
Addressing Key Test Challenges for LTE/LTE- A Multi-Antenna Beamforming Designs: MicroApps 2015 - Keysight Technologies
Kamil Ugurbil - IEEE Medal for Innovations in Healthcare Technology, 2019 IEEE Honors Ceremony

IEEE-USA E-Books

  • A Constant Missed Detection Rate Based Spectrum Sensing for UAV Communications towards Ultra-Dense Networks

    As the ultra-dense networks (UDNs) deploy base stations closely, unmanned aerial vehicle (UAV) communications may have serious interference on terrestrial communications. Spectrum sensing is employed for UAV. It is required a low and constant missed detection rate for UAV to avoid accessing frequency bands within licensed signals. Instead of traditional Constant False Alarm Rate (CFAR), this paper proposes a Constant Missed Detection Rate (CMDR) based on spectrum sensing. Two specific signal detection approaches are used to realize CMDR, which are Likelihood Ratio Test (LRT) and Energy Detector (ED). Simulation results are given and consistent with the theory.

  • User-Centric C-RAN Architecture for Ultra-Dense 5G Networks: Challenges and Methodologies

    Ultra-dense networks (UDNs) constitute one of the most promising techniques for supporting the 5G mobile system. By deploying more small cells in a fixed area, the average distance between users and access points can be significantly reduced; hence, dense spatial frequency reuse can be exploited. However, severe interference is the major obstacle in UDNs. Most contributions deal with the interference by relying on cooperative game theory. This article advocates the application of dense user-centric C-RAN philosophy to UDNs, thanks to the recent development of cloud computing techniques. Under dense C-RAN, centralized signal processing can be invoked for supporting CoMP transmission. We summarize the main challenges in dense user-centric C-RANs. One of the most challenging issues is the requirement of the global CSI for the sake of cooperative transmission. We investigate this requirement by only relying on partial CSI, namely, on inter-cluster large-scale CSI. Furthermore, the estimation of the intra-cluster CSI is considered, including the pilot allocation and robust transmission. Finally, we highlight several promising research directions to make the dense user-centric C-RAN become a reality, with special emphasis on the application of big data techniques.

  • A Super Base Station Architecture for Future Ultra-Dense Cellular Networks: Toward Low Latency and High Energy Efficiency

    To meet the explosive growth of mobile data traffic, ultra-dense networks have emerged to enhance spatial and spectral efficiency. Densely deployed small cell architecture faces several major challenges, including low infrastructure utilization ratio, severe inter-cell interference, and so on. In this article, we aim to develop a novel super base station (SupBS) network architecture to tackle these issues. The proposed SupBS architecture consists of two layers, namely, an infrastructure layer and a virtualized network layer. In the infrastructure layer, there are three key physical components: the hybrid heterogeneous radio unit pool, line interface switch unit, and computing resources pool. In the virtualized network layer, there are two logical modules designed on top of the three physical components, namely, the virtualized base station and virtualized software defined core network. The two logical modules are designed to facilitate the use of the underlying three physical components by reducing the energy consumption and processing delay. We present the functionalities of the two virtualized modules and explain how they are utilized to create virtual networks. Moreover, we demonstrate a recently developed SupBS prototype, and provide an application scenario for this prototype in an Internet information broadcast-storage system to show the advantages of our architecture.

  • Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer

    By means of network densification, ultra dense networks (UDNs) can efficiently broaden the network coverage and enhance the system throughput. In parallel, unmanned aerial vehicle (UAV) communications and networking have attracted increasing attention recently due to their high agility and numerous applications. In this article, we present a vision of UAV-supported UDNs. First, we present four representative scenarios to show the broad applications of UAV-supported UDNs in communications, caching, and energy transfer. Then we highlight the efficient power control in UAV-supported UDNs by discussing the main design considerations and methods in a comprehensive manner. Furthermore, we demonstrate the performance superiority of UAV-supported UDNs via case study simulations, compared to traditional fixed-infrastructure-based networks. In addition, we discuss the dominating technical challenges and open issues ahead.

  • A New Look at Physical Layer Security, Caching, and Wireless Energy Harvesting for Heterogeneous Ultra-Dense Networks

    Heterogeneous ultra-dense networks enable ultra-high data rates and ultra-low latency through the use of dense sub-6 GHz and millimeter-wave small cells with different antenna configurations. Existing work has widely studied spectral and energy efficiency in such networks and shown that high spectral and energy efficiency can be achieved. This article investigates the benefits of heterogeneous ultra-dense network architecture from the perspectives of three promising technologies, physical layer security, caching, and wireless energy harvesting, and provides an enthusiastic outlook toward application of these technologies in heterogeneous ultra-dense networks. Based on the rationale of each technology, opportunities and challenges are identified to advance the research in this emerging network.

  • Big Data Methods for Ultra‐dense Network Deployment

    This chapter outlines big data methods for ultra‐dense network (UDN) deployment from the perspective of two data science approaches: identify spatial‐temporal traffic and service challenge patterns to aid UDN targeted deployment; and identify social community patterns to assist ultra‐dense peer‐to‐peer and device‐to‐device networking. It reviews appropriate research on heterogeneous big data analytics to optimize the deployment of wireless networks. The chapter examines how social media data can quantify traffic patterns across various temporal and spatial scales. The methodological aspects of this work includes structured data analytics, such as clustering and social community detection. The chapter examines how social media data can improve our understanding of sentiment toward different service topics, and reinforce our understanding of poor quality‐of‐experience (QoE) reasons and locations for targeted improvement. As the data are often text based and not numerical, the methodological aspects of this work includes unstructured data analytics, such as natural language processing (NLP) and surveys.

  • Autonomous Traffic Offloading in Heterogeneous Ultra-Dense Networks Using Machine Learning

    The scarcity of network resources and the contention between resources and traffic volume have been the most critical network performance bottlenecks due to the booming growth of various applications in mobile Internet and Internet of Things. Consequently, effectively matching traffic with resources is of great importance and poses significant challenges. The 5G mobile communications networks will be heterogeneous, dense, and smart with various resources autonomously matching with the traffic demands. Although various traffic offloading schemes have been extensively investigated, applications in 5G present new characteristics such as interference-awareness on licensed or unlicensed bands, autonomous spectrum utilization, and delay-tolerant or delay sensitive traffic. In this article, we focus on HUDNs, which comprise dense small cells on the licensed band, WiFi AP on the unlicensed band, D2D communications, and V2V communications coexisting together to address the ever-increasing performance demands on both the user and network sides. We first summarize the recent research findings in this area and the technical challenges. We further present emerging traffic offloading frameworks and discuss the implementation issues including traffic offloading from virtualization, user-centric caching, and network selection in V2V communications. Furthermore, we propose an autonomous traffic offloading scheme based on big data and machine learning and also highlight future research directions.

  • Cloud Miracles: Heterogeneous Cloud RAN for Fair Coexistence of LTE-U and Wi-Fi in Ultra Dense 5G Networks

    Due to a tremendous increase in mobile traffic, mobile operators have started to restructure their networks to offload their traffic in the unlicensed bands. The 3GPP new technologies of LAA and LTE-U employ an unlicensed radio interface that operates over the 5 GHz unlicensed band to leverage the radio resources for operators' transmissions. 5G relies on spectrum extension using multi-radio interfaces accessing multiple bands such as LAA and LTE-U. However, the physical and MAC layer designs for LTE-based systems have a significant impact on Wi-Fi performance to maintain a fair share of unlicensed spectrum. Therefore, this article proposes a coexistence mechanism that manages backoff for LTE-U and Wi-Fi when accessing the 5 GHz band. The new mechanism allocates certain amounts of packets to both technologies through a new interface that resides in a heterogeneous cloud RAN.

  • Computationally Intelligent Techniques for Resource Management in MmWave Small Cell Networks

    Ultra densification in HetNets and the advent of mmWave technology for 5G networks have led researchers to redesign the existing resource management techniques. A salient feature of this activity is to accentuate the importance of CI resource allocation schemes offering less complexity and overhead. This article overviews the existing literature on resource management in mmWave- based Het- Nets with a special emphasis on CI techniques and further proposes frameworks that ensure quality of service requirements for all network entities. More specifically, HetNets with mmWave-based small cells pose different challenges compared to an all-microwave- based system. Similarly, various modes of small cell access policies and operations of base stations in dual mode, that is, operating both mmWave and microwave links simultaneously, offer unique challenges to resource allocation. Furthermore, the use of multi- slope path loss models becomes inevitable for analysis due to irregular cell patterns and blocking characteristics of mmWave communications. This article amalgamates the unique challenges posed because of the aforementioned recent developments and proposes various CI-based techniques, including game theory and optimization routines, to perform efficient resource management.

  • User Selection and Multiuser Widely Linear Precoding for One-Dimensional Signalling

    Emergence of ultradense networks in 5G communications, Internet of things, and eHealth devices prompts us to develop new communication techniques that can support a large number of low data rate devices. In particular, it has been shown that when the data are real-valued and the observation is complex- valued, widely linear (WL) estimation can be employed in lieu of linear estimation to improve the performance. With these motivations, we study user selection and transmit precoding in multiuser communication systems assuming transmitted signals are one-dimensionally modulated. A closed-form solution for widely linear maximum signal-to-leakage-and-noise ratio precoding is obtained. We also investigate the design of WL maximum ratio transmission, WL zero-forcing, and WL minimum mean square error precoding techniques. Furthermore, to enable an increased number of communication devices, a user selection algorithm compatible with widely linear processing of one- dimensionally modulated signals is proposed. The proposed user selection algorithm can potentially double the number of simultaneously selected users compared to that of conventional user selection methods.



Standards related to Ultra-dense Networks

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