Heterogeneous network: An evolutionary path to 5G

Sun, Sumei; Adachi, Kôichi; Tan, Peng Hui; Zhou, Yuan; Joung, Jingon; Ho, Chin Keong

doi:10.1109/apcc.2015.7412506

Cited by 23 publications

(7 citation statements)

References 16 publications

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“…UAV Assisted 5G Het-Net: A Highly Supportive Technology for 5G NR Network Enhancement According to the paper of Sun et al [49] the mainstream adoption of wireless networks and smart gadgets have contributed to the exponential growth of network traffic over the last couple of years and will be continued to be one principal source of the network traffic growth. In addition to the requirements generated for the traditional human-to-content and human-to-human communications, the emerging IoT (internet of things) and tactile internet will be the significant drivers to wireless networks and will lead for higher capacity of the networks.…”

Section: G Mmwave Communicationsmentioning

confidence: 99%

UAV Assisted 5G Het-Net: A Highly Supportive Technology for 5G NR Network Enhancement

Mahbub¹

2020

EAI Endorsed Trans IoT

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Recently, unmanned aerial vehicles (UAVs) have grabbed impressive attention from industry and research network, because of the faster growth in a wide scope of applications. Especially, UAVs are being utilized to ensure a better solution to a dependable and costeffective wireless communication network from the sky. The adoption of UAVs has been considered as an alternative supplement of existing cellular networks, to accomplish better transmission efficiency with enhanced coverage and network capacity. This article has represented some wireless communication scenarios where UAVs can be utilized to ensure better coverage, enhancement of efficiency and capacity. After that, to establish the effectiveness of UAVs in wireless communication the paper has included several performance scenarios (path loss, attenuation, and data rate) after utilizing UAVs in the wireless network. Finally concluded with discussing several challenges for UAV assisted wireless networks and the scopes of further enhancement of such kind of networks. This article might be informative to those who are engaged in research regarding UAV assisted wireless communication.

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Section: G Mmwave Communicationsmentioning

confidence: 99%

UAV Assisted 5G Het-Net: A Highly Supportive Technology for 5G NR Network Enhancement

Mahbub¹

2020

EAI Endorsed Trans IoT

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“…The Internet and mobile networks are becoming more and more blended to provide consistent, end-to-end service [3]. IP become a common way to carry data and all future cellular links are heading toward the full IP networks [4]. The adoption of IP stacks among…”

Section: Introductionmentioning

confidence: 99%

Unidirectional and Bidirectional Optimistic Modes IP Header Compression for Real-Time Video Streaming

Farouq¹,

Alarood

Aljojo

et al. 2020

IEEE Access

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Communication over Internet Protocol (IP) networks, has become crucial component of day everyday activities. They are utilized over the Internet to support a wide range of services. The flexibility of this kind of transmission relies on the IP User Datagram Protocol (UDP), IP/UDP/Real-time Transport Protocol (RTP) and IP/Transmission Control Protocol (TCP). Unfortunately, the weight of encapsulated protocol headers affects the transmission efficiency. This research aims at improving a technique that reduce the packets header size by compression. Performance analysis of the enhanced efficient techniques in both unidirectional and bidirectional optimistic modes applied to real-time video streaming traffic for UDP/IP and HTTP/TCP flows over free error channel has been conducted. The finding shows that the header compression ratio in each case is good and better than the previous studies. The technique achieved a reduction up to 90% for RTP/UDP/IP, 89% for UDP /IP and 77.5 to 86.5 % for TCP/IP profile. This research contribution is restricted to compression gain and saving for 0 × 0000, 0 × 0001, 0 × 0002 and 0 × 0006 profiles in the unidirectional and bidirectional optimistic modes. INDEX TERMS Datagram protocol, real-time transport protocol, transmission control protocol, protocol headers.

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“…Consequently, it is necessary to decouple data and control signals in order to alleviate the influence of fronthaul links on energy efficiency and dedicate RRHs to provide high data rates without considering control functions [10]. On the other hand, high power macro base stations (BSs) in heterogeneous networks support coverage and guarantee backward compatibility with traditional cellular networks since small cells focus only on boosting the data rate in special zones [11] [12] [13]. Despite the fact that heterogeneous networks are able to improve the coverage and the capacity, inter-tier interference and the cumulative power consumption of the small cells are critical challenges that must be considered [14] [15].…”

Section: Introductionmentioning

confidence: 99%

Sophisticated Online Learning Scheme for Green Resource Allocation in 5G Heterogeneous Cloud Radio Access Networks

AlQerm

Shihada

2018

IEEE Trans. on Mobile Comput.

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5G is the upcoming evolution for the current cellular networks that aims at satisfying the future demand for data services. Heterogeneous cloud radio access networks (H-CRANs) are envisioned as a new trend of 5G that exploits the advantages of heterogeneous and cloud radio access networks to enhance spectral and energy efficiency. Remote radio heads (RRHs) are small cells utilized to provide high data rates for users with high quality of service (QoS) requirements, while high power macro base station (BS) is deployed for coverage maintenance and low QoS users service. Inter-tier interference between macro BSs and RRHs and energy efficiency are critical challenges that accompany resource allocation in H-CRANs. Therefore, we propose an efficient resource allocation scheme using online learning, which mitigates interference and maximizes energy efficiency while maintaining QoS requirements for all users. The resource allocation includes resource blocks (RBs) and power. The proposed scheme is implemented using two approaches: centralized, where the resource allocation is processed at a controller integrated with the baseband processing unit and decentralized, where macro BSs cooperate to achieve optimal resource allocation strategy. To foster the performance of such sophisticated scheme with a model free learning, we consider users' priority in RB allocation and compact state representation learning methodology to improve the speed of convergence and account for the curse of dimensionality during the learning process. The proposed scheme including both approaches is implemented using software defined radios testbed. The obtained results and simulation results confirm that the proposed resource allocation solution in H-CRANs increases the energy efficiency significantly and maintains users' QoS.

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Heterogeneous network: An evolutionary path to 5G

Cited by 23 publications

References 16 publications

UAV Assisted 5G Het-Net: A Highly Supportive Technology for 5G NR Network Enhancement

UAV Assisted 5G Het-Net: A Highly Supportive Technology for 5G NR Network Enhancement

Unidirectional and Bidirectional Optimistic Modes IP Header Compression for Real-Time Video Streaming

Sophisticated Online Learning Scheme for Green Resource Allocation in 5G Heterogeneous Cloud Radio Access Networks

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