How backhaul networks influence the feasibility of coordinated multipoint in cellular networks [Accepted From Open Call]

Biermann, Thorsten; Scalia, Luca; Choi, Changsoon; Kellerer, Wolfgang; Karl, Holger

doi:10.1109/mcom.2013.6576356

Cited by 57 publications

(31 citation statements)

References 5 publications

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“…Authors in [9] discuss CoMP implementation challanges and various deployment scnerios for LTE-A, however clustering challange is not exploited in the paper. Backhaul capacity and latecy requirement for different CoMP schemes are investigated in [12]. A user-centric CoMP clustering approach is studied to investigate available backhaul capacity/latency impact on CoMP clustering.…”

Section: ) Network Densification -Massive Small Cell Deploymentmentioning

confidence: 99%

Coordinated Multi-Point Clustering Schemes: A Survey

Bassoy

Farooq

Imran

et al. 2017

IEEE Commun. Surv. Tutorials

162

109

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Abstract-Mobile data traffic grew by 74% in 2015 and it's expected to grow 8-fold by 2020. Future wireless networks will need to deploy massive number of small cells to cope with this increasing demand. Dense deployment of small cells will require advanced interference mitigation techniques to improve spectral efficiency and enhance much needed capacity. Coordinated multi-point (CoMP) is a key feature for mitigating intercell interference, improve throughput and cell edge performance. However, cooperation will need to be limited to few cells only due to additional overhead required by CoMP due to channel state information (CSI) exchange, scheduling complexity and additional backhaul limitation. Hence small CoMP clusters will need to be formed in the network. This article surveys the stateof-the-art on one of the key challenges of CoMP implementation: CoMP clustering. As a starting point, we present the need for CoMP, the clustering challenge for 5G wireless networks and provide a brief essential background about CoMP and the enabling network architectures. We then provide the key framework for CoMP clustering and introduce self organisation as an important concept for effective CoMP clustering to maximise CoMP gains. Next, we present two novel taxonomies on existing CoMP clustering solutions, based on self organisation and aimed objective function. Strengths and weaknesses of the available clustering solutions in the literature are critically discussed. We then discuss future research areas and potential approaches for CoMP clustering. We present a future outlook on the utilisation of Big Data in cellular context to support proactive CoMP clustering based on prediction modelling. Finally we conclude this paper with a summary of lessons learnt in this field. This article aims to be a key guide for anyone who wants to research on CoMP clustering for future wireless networks.

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Section: ) Network Densification -Massive Small Cell Deploymentmentioning

confidence: 99%

Coordinated Multi-Point Clustering Schemes: A Survey

Bassoy

Farooq

Imran

et al. 2017

IEEE Commun. Surv. Tutorials

162

109

View full text Add to dashboard Cite

show abstract

“…Therefore, interconnections between some RRHs are possible and the corresponding topology should be investigated. In [16], both mesh and tree-like backhaul network architectures are presented to decrease the negative influences of capacity-constrained backhaul links on CoMP. The trade-off between wireless cluster feasibility and the backhaul connectivity level are designed carefully.…”

Section: C-rans With Inter-connected Rrhsmentioning

confidence: 99%

Fronthaul-constrained cloud radio access networks: insights and challenges

Peng

Wang

Lau

et al. 2015

IEEE Wireless Commun.

405

209

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As a promising paradigm for fifth generation (5G) wireless communication systems, cloud radio access networks (C-RANs) have been shown to reduce both capital and operating expenditures, as well as to provide high spectral efficiency (SE) and energy efficiency (EE). The fronthaul in such networks, defined as the transmission link between a baseband unit (BBU) and a remote radio head (RRH), requires high capacity, but is often constrained. This article comprehensively surveys recent advances in fronthaul-constrained C-RANs, including system architectures and key techniques. In particular, key techniques for alleviating the impact of constrained fronthaul on SE/EE and quality of service for users, including compression and quantization, large-scale coordinated processing and clustering, and resource allocation optimization, are discussed. Open issues in terms of software-defined networking, network function virtualization, and partial centralization are also identified.

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“…After generating the scheduling decision, the generated precoders and the selected modulation and coding schemes (per PMS) have to be signalled back to the PBS. While the data rate required for the exchange of CSI is limited [24], the requirement in terms of latency can be demanding (below 1 ms) [25].…”

Section: Scheduling and Its Computational Complexitymentioning

confidence: 99%

Complexity of coordinated beamforming and scheduling for OFDMA based heterogeneous networks

2018

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Coordination is foreseen to be an important component of future mobile radio networks. It is especially relevant in heterogeneous networks, where high power base stations produce strong interference to an underlying layer of low power base stations. This work investigates in detail the achievable performance gains for one coordination technique-coordinated beamforming. It reveals the main factors that influence the throughput of the mobile stations. These findings are combined with an analysis of the computational complexity. As a result, a heuristic algorithm is presented that achieves results close to an exhaustive search with significantly less calculations. Detailed simulation analysis is presented on a realistic network layout.

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How backhaul networks influence the feasibility of coordinated multipoint in cellular networks [Accepted From Open Call]

Cited by 57 publications

References 5 publications

Coordinated Multi-Point Clustering Schemes: A Survey

Coordinated Multi-Point Clustering Schemes: A Survey

Fronthaul-constrained cloud radio access networks: insights and challenges

Complexity of coordinated beamforming and scheduling for OFDMA based heterogeneous networks

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