Modeling and Analysis of Cloud Radio Access Networks Using Matérn Hard-Core Point Processes

He, Huasen; Xue, Jiang; Ratnarajah, Tharmalingam; Khan, Faheem A.; Papadias, Constantinos B.

doi:10.1109/twc.2016.2533386

Cited by 34 publications

(20 citation statements)

References 25 publications

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“…Besides, the Fig. 2 shows that simulation result is upper bounded by analytic result due to the fact that simulation has taken in to account minimum interference criteria given on Equation (4). Furthermore, the simulation result tries to captured the analytic value for larger R. Fig.…”

Section: Numerical Resultsmentioning

confidence: 91%

Modeling and Analysis of Dynamic Pilot Scheduling scheme for 5G Ultra-Dense Network

Menta

Ruttik

Jäntti

et al. 2018

2018 IEEE 5G World Forum (5GWF)

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Recently, Ultra-Dense Network (UDN) has been evolved as one of the key enablers of future 5G wireless technologies. Thus with UDN, more users will be served simultaneously by densely deployed small cells in a confined geographical area. Such dense deployment however amplifies the problem of interference, frequent handover and frequent rescheduling of users in mobility case due to reuse of same radio resource after smaller distance. This paper describes the analysis of a dynamic pilot resource allocation scheme of UDN system where mobile users transmit periodically uplink (UL) pilot signals. Such periodic UL pilot transmission scheme enables user localization and channel estimation. The analysis considered the number of pilot resources needed to serve a given user density and how often the system has to reallocate pilot resources when interference conditions are changing for mobile users. The result on average time between consecutive reallocation of pilot resource of a mobile user gives a good insight on how timely the UDN system has to serve mobile users.

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Section: Numerical Resultsmentioning

confidence: 91%

Modeling and Analysis of Dynamic Pilot Scheduling scheme for 5G Ultra-Dense Network

Menta

Ruttik

Jäntti

et al. 2018

2018 IEEE 5G World Forum (5GWF)

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“…Matern hard-core Point Processes (MHCPP) is suitable for real-time distribution of the BSs, where MHCPP makes sure to maintain a certain minimum distance, the hard-core distance between the two BSs so that they cannot come too close to each other. In [6], the multi-antenna RRHs are deployed through MHCPP. The same analysis as that of [5] is carried out.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Performance Analysis of C-RAN with Different Deployment Distributions

Vinnakota

2020

SN COMPUT. SCI.

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In cloud radio access networks (C-RAN) for 5G and beyond, the user-centric system model has gained popularity during downlink performance analysis for various reasons like tractability of stochastic geometric approach and distributed beamforming methods. In this paper, the coverage analysis of C-RAN with different distributions of BSs, e.g. uniform, PPP, Matern hard-core point process (MHCPP) of types I, II, and III are studied. We present the coverage analysis with the uniform distribution of BSs and compare it with other deployment distributions of BSs. The effect of threshold distance on the performance of MHCPP distributions is explored. The Monte Carlo simulation of heterogeneous C-RAN with different cluster point processes is observed and compared with the PPP model. The effect of the range of child clusters on the performance analysis is observed in the cluster point processes. To avoid the complexity in the study, interference is not considered in the analysis, and its counterpart simulations are also not considered while performing the comparison. Keywords C-RAN • 5G • Distributed beamforming • Point process This article is part of the topical collection "Emerging Technologies for 5G and Beyond" guest edited by Aloknath De.

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“…Spatial correlations in practical deployments are better captured due to the existence of the hard-core distance in MHPP, which is demonstrated to be a more accurate stochastic model in [31] compared with PPP. An increasing number of interests from researchers yields studies on network performance analysis employing MHPP such as in [32], [33] and there is also work using MHPP to model C-RANs [34]. More comprehensive surveys discussing about difference stochastic models can be found in [35].…”

Section: A Network Architecturementioning

confidence: 99%

Hotspot-Oriented Green Frameworks for Ultrasmall Cell Cloud Radio Access Networks

Grace

Mitchell

2018

IEEE Trans. Veh. Technol.

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Abstract-Sleep mode operation of base stations aims to switch off some hardware modules to reduce power consumption while not degrading the Quality of Service. In this paper, novel Hotspotoriented Green Frameworks based on sleep model operation of Remote Radio Heads (RRHs) are proposed for Cloud Radio Access Networks (C-RANs). The trade-off between the reduction in power consumption of RRHs and the increase in transmission power at User Equipment (UE) is first analysed based on realistic models for ultra-small cell C-RANs. In the proposed energy-efficient frameworks, corresponding clustering strategies are adopted to ensure that active RRHs are located as near as possible to hotspot areas for different infrastructure conditions and information availabilities. This reduces the increase in the uplink transmission power while maximising the overall RRH power reduction. The green frameworks are modelled using C-RANs based on random topologies. It is shown that area power consumption can be reduced by more than 79% at a low traffic level compared with no sleep mode operation. One of the frameworks is also compared with a baseline strategy that deals with hotspot areas and shows a 70% reduction in UE transmission power. The pros and cons of applying different frameworks are also investigated and analysed.

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Modeling and Analysis of Cloud Radio Access Networks Using Matérn Hard-Core Point Processes

Cited by 34 publications

References 25 publications

Modeling and Analysis of Dynamic Pilot Scheduling scheme for 5G Ultra-Dense Network

Modeling and Analysis of Dynamic Pilot Scheduling scheme for 5G Ultra-Dense Network

Performance Analysis of C-RAN with Different Deployment Distributions

Hotspot-Oriented Green Frameworks for Ultrasmall Cell Cloud Radio Access Networks

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