Cloud cooperated heterogeneous cellular networks

Sakaguchi, Kei; Sampei, Seiichi; Shimodaira, Hidekazu; Rezagah, Roya E.; Tran, Gia Khanh; Araki, Kiyomichi

doi:10.1109/ispacs.2013.6704656

Cited by 25 publications

(36 citation statements)

References 9 publications

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“…Thus the DBS can be considered as a UE-specific resource that dynamically transmits the data in directions towards the active UEs only. Considering this feature, [42] proposes a dynamic cell structuring mechanism by using large-scale CoMP. In this technique, a cluster of DBSs is dynamically created around hotspots by controlling beam directions of each DBS.…”

Section: Energy Saving In Cdsamentioning

confidence: 99%

“…In [42], a similar architecture called Cloud-HetNet has been proposed with a primary target of extending the capacity. In Cloud-HetNet, all cells (i.e., MCs and SCs) are connected to a Cloud-RAN in a star topology and they act as radio resource heads.…”

Section: B Heterogeneous Networkmentioning

confidence: 99%

“…Based on the Cloud-RAN, the MC can handle the CP of all users for mobility and cell discovery, while the DP is supported by the SCs. An interesting finding of [42] is that operating the DP at the 3 GHz band (where 100 MHz BW is still available) provides more capacity than the 60 GHz band (where 2.16 GHz BW is available) when the traffic load is low and vice versa. This is because [42] defines the capacity as the minimum of the achievable throughput and the traffic rate.…”

Section: B Heterogeneous Networkmentioning

confidence: 99%

“…An interesting finding of [42] is that operating the DP at the 3 GHz band (where 100 MHz BW is still available) provides more capacity than the 60 GHz band (where 2.16 GHz BW is available) when the traffic load is low and vice versa. This is because [42] defines the capacity as the minimum of the achievable throughput and the traffic rate. Although the 3 GHz band offers limited BW, it can satisfy low traffic rate demands.…”

Section: B Heterogeneous Networkmentioning

confidence: 99%

See 3 more Smart Citations

Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook

Mohamed

Onireti

Imran

et al. 2016

IEEE Commun. Surv. Tutorials

123

112

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Abstract-Conventional cellular systems are designed to ensure ubiquitous coverage with an always present wireless channel irrespective of the spatial and temporal demand of service. This approach raises several problems due to the tight coupling between network and data access points, as well as the paradigm shift towards data-oriented services, heterogeneous deployments and network densification. A logical separation between control and data planes is seen as a promising solution that could overcome these issues, by providing data services under the umbrella of a coverage layer. This article presents a holistic survey of existing literature on the control-data separation architecture (CDSA) for cellular radio access networks. As a starting point, we discuss the fundamentals, concept and general structure of the CDSA. Then, we point out limitations of the conventional architecture in futuristic deployment scenarios. In addition, we present and critically discuss the work that has been done to investigate potential benefits of the CDSA, as well as its technical challenges and enabling technologies. Finally, an overview of standardisation proposals related to this research vision is provided.

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Section: Energy Saving In Cdsamentioning

confidence: 99%

Section: B Heterogeneous Networkmentioning

confidence: 99%

Section: B Heterogeneous Networkmentioning

confidence: 99%

Section: B Heterogeneous Networkmentioning

confidence: 99%

See 2 more Smart Citations

Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook

Mohamed

Onireti

Imran

et al. 2016

IEEE Commun. Surv. Tutorials

123

112

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“…In this paradigm, CoMP is the key to enable increased spectral resource usage as shown in Fig. 1 [12]- [13]. Nevertheless, this gain is expected to be harvested at the cost of high-capacity optical fibre fronthaul links (also  An uplink CoMP framework incorporating capacity-limited multiple fronthaul links is considered, which can be easily employed in the C-RAN architecture;  Under the proposed framework, distributed Wyner-Ziv compression is employed and optimized to maximize user rate with limited fronthaul capacity.…”

Section: Introductionmentioning

confidence: 99%

Fronthaul data compression for Uplink CoMP in cloud radio access network (C‐RAN)

Shakir

Imran

et al. 2016

Trans. Emerging Tel. Tech.

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The design of efficient wireless fronthaul connections for future heterogeneous networks incorporating emerging paradigms such as cloud radio access network (C-RAN) has become a challenging task that requires the most effective utilization of fronthaul network resources. In this paper, we propose to use distributed compression to reduce the fronthaul traffic in uplink Coordinated Multi-Point (CoMP) for C-RAN. Unlike the conventional approach where each coordinating point quantizes and forwards its own observation to the processing centre, these observations are compressed before forwarding. At the processing centre, the decompression of the observations and the decoding of the user message are conducted in a successive manner.The essence of this approach is the optimization of the distributed compression using an iterative algorithm to achieve maximal user rate with a given fronthaul rate. In other words, for a target user rate the generated fronthaul traffic is minimized. Moreover, joint decompression and decoding is studied and an iterative optimization algorithm is devised accordingly. Finally, the analysis is extended to multi-user case and our results reveal that, in both dense and ultra-dense urban deployment scenarios, the usage of distributed compression can efficiently reduce the required fronthaul rate and a further reduction is obtained with joint operation. Index TermsHeterogeneous network (HetNet), fronthaul, uplink Coordinated Multi-Point (CoMP), cloud radio access network (C-RAN), distributed compression. I INTRODUCTIONThe astronomical growth in mobile data traffic volume is making it increasingly difficult for operators to meet the traffic demands with the available resources and network architecture. This remarkable growing momentum of improving the quality of experience of the users will most likely continue due to the emerging needs of connecting people, machines, and applications through mobile infrastructure. Extrapolation of current growth trend predicts that the future networks are required to be prepared to support up to a thousand fold increase in total mobile broadband traffic by 2020 [1]. In light of this trend, heterogeneous network (HetNet), where small cells (SCs) are deployed to provide improved coverage and capacity to highly concentrated users, is envisaged as one of the key solutions to economic and sustainable future networks [2]- [4]. However, each added small cell has a profound effect on overall network performance, both with the increased capacity it brings as well as the large amount of co-channel interference it generates when sharing the same frequency [5]. One of the ways to improve the spectral efficiency of the system and mitigate the adverse effect of the huge interference is the use of advanced Coordinated Multi-Point However, in these works the coordinating SCs are assumed to simply quantize their own received signals before forwarding them to the processing centre via the fronthaul links.Considering the fact that the observations of all coordinating cells...

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Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges

2015

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Recently, mobile networking systems have been designed with more complexity of infrastructure and higher diversity of associated devices and resources, as well as more dynamical formations of networks, due to the fast development of current Internet and mobile communication industry. In such emerging mobile heterogeneous networks (HetNets), there are a large number of technical challenges focusing on the efficient organization, management, maintenance, and optimization, over the complicated system resources. In particular, HetNets have attracted great interest from academia and industry in deploying more effective solutions based on artificial intelligence (AI) techniques, e.g., machine learning, bio-inspired algorithms, fuzzy neural network, and so on, because AI techniques can naturally handle the problems of large-scale complex systems, such as HetNets towards more intelligent and automatic-evolving ones. In this paper, we discuss the state-of-the-art AI-based techniques for evolving the smarter HetNets infrastructure and systems, focusing on the research issues of self-configuration, self-healing, and self-optimization, respectively. A detailed taxonomy of the related AI-based techniques of HetNets is also shown by discussing the pros and cons for various AI-based techniques for different problems in HetNets. Opening research issues and pending challenges are concluded as well, which can provide guidelines for future research work.INDEX TERMS Artificial intelligence, genetic algorithms, ant colony optimization, self-organization networks, heterogeneous networks.

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Cloud cooperated heterogeneous cellular networks

Cited by 25 publications

References 9 publications

Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook

Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook

Fronthaul data compression for Uplink CoMP in cloud radio access network (C‐RAN)

Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges

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