A Novel Multi-Service Small-Cell Cloud Radio Access Network for Mobile Backhaul and Computing Based on Radio-Over-Fiber Technologies

Liu, Cheng; Zhang, Liang; Zhu, Meifang; Wang, Jing; Cheng, Lin; Chang, Gee‐Kung

doi:10.1109/jlt.2013.2274193

Cited by 114 publications

(46 citation statements)

References 10 publications

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“…Moreover, Fig. 5 shows the sum EE performance comparison amongst QPSO, PSO and GA using UE power allocations of (4) and (5), while RRH-BBU pool allocation is based on PAM2, or (2). Due to channel path loss, the model of (4) constantly overcomes the EE output of model (5).…”

Section: Results and Analysismentioning

confidence: 99%

“…The selected tuning parameter of QPSO, PSO and GA are as follow: for PSO, the total number of particles I is equivalent to 100, inertia weight (w) is 0.9, the cognitive parameter (c 1 ) is 0.2, and social parameter (c 2 ) is 1.2. For GA, the number of generation is 100, the : EE evaluation of virtualised C-RAN using PSO, QPSO and GA, the UEs are allocated power according to (4) and (5), while RRHs are allocated power according to (2).…”

Section: Results and Analysismentioning

confidence: 99%

“…Whilst this has increased network capacity, it has also led to the consumption of more power. In order to reduce this consumption, cloud-radio access network (C-RAN) architecture is proposed [1], [2]. In C-RAN, the base band units (BBUs) servers are responsible for processing the upper layers and most of the physical layer functions, including radio frequency (RF), base band digital signal processing, and wireless media access control (MAC) functions.…”

Section: Introductionmentioning

confidence: 99%

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Maximizing the Energy Efficiency of Virtualized C-RAN via Optimizing the Number of Virtual Machines

Alhumaima

Ahmed

Al-Raweshidy

2018

IEEE Trans. on Green Commun. Netw.

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Abstract-In cloud radio access networks (C-RAN), more accurate prediction of the number of virtual machines (VMs) one server can support would improve network capacity and energy efficiency (EE). In this paper, the problem of allocating an optimal number of VMs to the cloud server is introduced. Monte Carlo based evolutionary algorithm (PSO, QPSO or GA) are used to find the suboptimal number of VMs that optimises the energy efficiency (EE) of C-RAN. To enable such evaluation, a power model is proposed to evaluate the power consumption (PC) of each unit within a virtualised server. This evaluation occurs under the circumstances of increased number of hosted VMs, and processed resource blocks (RBs) at each VM. Moreover, power allocation methods are proposed to transmit the power from base band unit (BBU) pool to the remote radio heads (RRHs), and from RRHs to the users (UEs). This allocation is based on the combination of one or more of RRH distance, RRH channel gain, UE distance, UE channel gain, and UE path loss. The EE problem was constrained to crucial quality of service (QoS) indicators, including minimum UE data rate, number of allocated RBs, and latency imposed due to virtualisation.

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Section: Results and Analysismentioning

confidence: 99%

Section: Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Maximizing the Energy Efficiency of Virtualized C-RAN via Optimizing the Number of Virtual Machines

Alhumaima

Ahmed

Al-Raweshidy

2018

IEEE Trans. on Green Commun. Netw.

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“…The experimental setup used to evaluate the proposed NOMA-CAP transmission over a hybrid photonic-wireless downlink follows the concepts of a C-RAN with analog RoF fronthaul [3], [4] and mm-wave radio access units (RAUs) of reduced complexity [8]. The setup-schematically shown in …”

Section: Setupmentioning

confidence: 99%

“…The use of centralized radio access networks (C-RANs) is suggested as a key enabler [3], [4], [8], which, combined with radio-overfiber (RoF) on passive optical networks (PONs), is a promising candidate to flexibly support 5G mobile networks [8], [10].…”

mentioning

confidence: 99%

Nonorthogonal Multiple Access and Carrierless Amplitude Phase Modulation for Flexible Multiuser Provisioning in 5G Mobile Networks

Altabás

Rommel

Puerta

et al. 2017

J. Lightwave Technol.

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Abstract-In this paper, a combined non-orthogonal multiple access (NOMA) and multiband carrierless amplitude phase modulation (multiCAP) scheme is proposed for capacity enhancement of and flexible resource provisioning in 5G mobile networks. The proposed scheme is experimentally evaluated over a W-band millimeter wave radio-over fiber system. The evaluated NOMA-CAP system consists of six 1.25 GHz multiCAP bands and two NOMA levels with quadrature phase shift keying and can provide an aggregated transmission rate of 30 Gbit/s. The proposed system can dynamically adapt to different user densities and data rate requirements. Bit error rate performance is evaluated in two scenarios: a low user density scenario where the system capacity is evenly split between two users and a high user density scenario where NOMA and multiCAP are combined to serve up to twelve users with an assigned data rate of 2.5 Gbit/s each. The proposed system demonstrates how NOMA-CAP allows flexible resource provisioning and can adapt data rates depending on user density and requirements.Index Terms-Non-orthogonal multiple access, multi-band carrierless amplitude phase modulation, radio-over-fiber, millimeterwave communications, W-band wireless.

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Wireless Signal Encapsulation in a Seamless Fiber–Millimeter Wave System

Dat

Kanno

Yamamoto

et al. 2019

Optical and Wireless Convergence for 5G Networks

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A Novel Multi-Service Small-Cell Cloud Radio Access Network for Mobile Backhaul and Computing Based on Radio-Over-Fiber Technologies

Cited by 114 publications

References 10 publications

Maximizing the Energy Efficiency of Virtualized C-RAN via Optimizing the Number of Virtual Machines

Maximizing the Energy Efficiency of Virtualized C-RAN via Optimizing the Number of Virtual Machines

Nonorthogonal Multiple Access and Carrierless Amplitude Phase Modulation for Flexible Multiuser Provisioning in 5G Mobile Networks

Wireless Signal Encapsulation in a Seamless Fiber–Millimeter Wave System

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