Throughput reliability analysis of cloud-radio access networks

Ghods, Fatemeh; Fapojuwo, Abraham O.; Ghannouchi, Fadhel M.

doi:10.1002/wcm.2728

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…Coordinated multipoint (CoMP) was introduced in Long Term Evolution (LTE) Rel-11, where the goal was to improve the quality of service (QoS) experienced by cell edge user equipments (UEs). Since LTE focused on increasing the data rates and/or spectral efficiency of the network, CoMP was also limited to interference mitigation and throughput/capacity improvement [12]- [22]. However, the expansion of industry verticals and use cases promised by 5G has signaled renewed interest in CoMP.…”

Section: Introduction a Motivation And Backgroundmentioning

confidence: 99%

Generalized Coordinated Multipoint Framework for 5G and Beyond

et al. 2021

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The characteristic feature of 5G and beyond networks is the diversity of services, which is required to support different user needs. However, the requirements for these services are often competing in nature, which impresses the necessity of a coordinated and flexible network architecture. Although coordinated multipoint (CoMP) systems were primarily proposed to improve the cell edge performance in 4G, their collaborative nature can be leveraged to support the diverse requirements and enabling technologies of 5G and beyond networks. To this end, we propose the generalization of CoMP to a proactive and efficient resource management framework capable of supporting different user requirements such as reliability, latency, throughput, and security while considering network constraints. This article elaborates on the multiple aspects, inputs, and outputs of the generalized CoMP (GCoMP) framework. Apart from user requirements, the GCoMP decision mechanism also considers the CoMP scenario and network architecture to decide upon outputs such as CoMP scheme or appropriate coordinating clusters. To enable easier understanding of the concept, a case study illustrating the effect of different combinations of GCoMP framework's outputs on varying user requirements is presented.INDEX TERMS 5G, 6G, backhaul, clustering, coordinated multipoint (CoMP), energy efficiency, flexibility, generalized CoMP (GCoMP), multi-TRP MIMO, quality of service (QoS), radio resource management (RRM).

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Section: Introduction a Motivation And Backgroundmentioning

confidence: 99%

Generalized Coordinated Multipoint Framework for 5G and Beyond

et al. 2021

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“…As observed in [22], most works on user centric-clustering have used numerical simulations, e.g., [33] which considered zero-forcing beamformers in the uplink, and [34] and [35] which considered a number of precoding strategies for the downlink. In [30], [36], and [37], the downlink of user-centric BS co-operation systems are considered analytically. Reference [38] considered uplink and downlink transmissions with single antenna BSs, and 2 cooperating BSs detecting signals from a given mobile.…”

Section: Introductionmentioning

confidence: 99%

Uplink Performance of Multi-Antenna Cellular Networks With Co-Operative Base Stations and User-Centric Clustering

Govindasamy

Bergel

2018

IEEE Trans. Wireless Commun.

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We consider a user-centric co-operative cellular network, where base stations (BSs) close to a mobile co-operate to detect its signal using a (joint) linear minimum-mean-square-error receiver. The BSs are at arbitrary positions and mobiles are modeled as a planar Poisson Point Process (PPP). Combining stochastic geometry and infinite-randommatrix theory, we derive a simple expression for the spectral efficiency of this complex system as the number of antennas grows large. This framework is applied to BS locations from PPPs and hexagonal grids, and are validated through Monte Carlo simulations. The results reveal the influence of tangible system parameters such as mobile and base-station densities, number of antennas per BS, and number of co-operating BSs on achievable spectral efficiencies. Among other insights, we find that for a given BS density and a constraint on the total number of cooperating antennas, all co-operating antennas should be located at a single BS. On the other hand, in our asymptotic regime, for the same number of co-operating antennas, if the network is limited by the area density of antennas, then the number of co-operating BSs should be increased with fewer antennas per BS.

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