Advances and challenges toward a scalable cloud radio access network

Fan, Congmin; Zhang, Ying Jun; Yuan, Xiaojun

doi:10.1109/mcom.2016.7497763

Cited by 25 publications

(16 citation statements)

References 15 publications

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“…The BBU centralization has multifarious advantages to support advanced interference management techniques, such as enhanced Inter-Cell Interference Coordination (eICIC) and CoMP. However, it also poses challenges in dimensioning FH connections and GPP [22], [23].…”

Section: Processing Load In the Bbu Poolmentioning

confidence: 99%

NetSliC: Base Station Agnostic Framework for Network SliCing

Tseliou

Adelantado

Verikoukis

2019

IEEE Trans. Veh. Technol.

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In this paper, we propose the Base Station (BS) Agnostic Framework for Network SliCing, NetSliC, that creates network slices for the Radio Access Network (RAN) based on the service requirements. Current cellular RAN is a heterogeneous complex architecture, comprising legacy distributed Small Cells (SCs), Radio Remote Radio Heads (RRHs) connected to a centralized Base Band Unit (BBU), and future 5G NodeBs (gNBs) leveraging virtualization with different functional splits, serving distinct traffic profiles. Thus, NetSliC is a common language that manages and controls this heterogeneous infrastructure. We consider several criteria for creating network slices in this particularly interesting future scenario, which are applicable to all different types of access and transport interfaces of the distinct BSs. The goal of our work is to propose NetSliC, a framework that creates wireless slices in a cellular RAN independently of the type of BS (i.e., BS agnostic) and on the same time achieves desirable service capability across the various traffic profiles.

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Section: Processing Load In the Bbu Poolmentioning

confidence: 99%

NetSliC: Base Station Agnostic Framework for Network SliCing

Tseliou

Adelantado

Verikoukis

2019

IEEE Trans. Veh. Technol.

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“…In distributed BS, the radio function unit, i.e., remote radio head (RRH), is separated from the digital function unit, i.e., baseband unit (BBU). In C-RAN, BBUs are brought together to construct a BBU pool, and RRHs are distributed deployed to provide wide coverage and high data rate [10], [11].…”

Section: Cloud Radio Access Networkmentioning

confidence: 99%

Achieving Sustainable Ultra-Dense Heterogeneous Networks for 5G

Yang

et al. 2017

IEEE Commun. Mag.

228

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Due to the exponentially increased demands of mobile data traffic, e.g., a 1000-fold increase in traffic demand from 4G to 5G, network densification is considered as a key mechanism in the evolution of cellular networks, and ultra-dense heterogeneous network (UDHN) is a promising technique to meet the requirements of explosive data traffic in 5G networks. In the UDHN, base station is brought closer and closer to users through densely deploying small cells, which would result in extremely high spectral efficiency and energy efficiency. In this article, we first present a potential network architecture for the UDHN, and then propose a generalized orthogonal/non-orthogonal random access scheme to improve the network efficiency while reducing the signaling overhead. Simulation results demonstrate the effectiveness of the proposed scheme. Finally, we present some of the key challenges of the UDHN.

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“…Since an important aspect of cellular networks is not just the support of massive numbers of users and devices, but also acceptable speeds of service, newer cellular architectures have included the presence of a cache [5]. Naturally, the cache must be efficiently maintained in order to make the best use of limited and available resources and offer users the quality of service they were promised.…”

Section: List Of Tablesmentioning

confidence: 99%

“…Furthermore, there are still many challenges, obstacles, and aspects in cellular networks that need to be addressed or can be enhanced [5]. As a result, the fifth generation of cellular networks is actively being researched, hoping to provide even better service yet.…”

Section: Evolution Of Cellular Network Technologiesmentioning

confidence: 99%

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Cache Management Schemes for User Equipment Contexts in 5th Generation Cloud Radio Access Networks

Kaur

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By Gurpreet Kaur Advances in cellular network technology continue to develop to address increasing demands from the growing number of devices resulting from the Internet of Things, or IoT. IoT has brought forth countless new equipment competing for service on cellular networks. The latest in cellular technology is 5th Generation Cloud Radio Access Networks, or 5G C-RAN, which consists of an architectural design created specifically to meet novel and necessary requirements for better performance, reduced latency of service, and scalability. As part of this design is the inclusion of a virtual cache, there is a necessity for useful cache management schemes and protocols, which ultimately will provide users better performance on the cellular network. This paper explores a few different cache management schemes, and analyzes their performance in comparison to each other. They include a probability based scoring scheme for cache elements; a hierarchical, or tiered, approach aimed at separating the cache into different levels or sections; and enhancements to previously existing approaches including reverse random marking as well as a scheme based on an exponential decay model. These schemes aim to offer better hit ratios, reduced latency of request service, preferential treatment based on users' service levels and mobility, and a reduction in network traffic compared to other traditional and classic caching mechanisms. v TABLE OF CONTENTS LIST OF TABLES vii LIST OF FIGURES viii

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Advances and challenges toward a scalable cloud radio access network

Cited by 25 publications

References 15 publications

NetSliC: Base Station Agnostic Framework for Network SliCing

NetSliC: Base Station Agnostic Framework for Network SliCing

Achieving Sustainable Ultra-Dense Heterogeneous Networks for 5G

Cache Management Schemes for User Equipment Contexts in 5th Generation Cloud Radio Access Networks

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