Optimising energy efficiency of non‐orthogonal multiple access for wireless backhaul in heterogeneous cloud radio access network

Vien, Quoc-Tuan; Lê, Tuấn Anh; Barn, Balbir; Phan, Ca Van

doi:10.1049/iet-com.2016.0247

Cited by 37 publications

(36 citation statements)

References 29 publications

(38 reference statements)

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“…Vien et al [11][12][13] proposed a non-orthogonal multiple access-based power allocation scheme for C-RAN systems. In this scheme, base stations were allocated with different power levels depending on their distances to the cloud, and the optimal number of BSs in C-RAN systems was found to achieve an improved performance.…”

Section: Related Workmentioning

confidence: 99%

“…Specifically, a successive interference cancellation mechanism was designed at the cloud to lay multiple base stations over each other in the power domain. Taking into account the constraints of the total available power and the cloud-edge throughput requirement, this approach has shown to support a higher number of base stations when compared to the existing scheme [11][12][13].…”

Section: Related Workmentioning

confidence: 99%

“…The scheme in [9] was developed only for small cells, i.e., houses, based on the partially centralized C-RAN model. The studies in [11][12][13] strongly concentrated on the non-orthogonal multiple access method to improve the spectral efficiency. Therefore, these studies were specially focused on the wireless downlink control problems in C-RAN systems.…”

Section: Comparison and Main Contributionsmentioning

confidence: 99%

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Fog radio access network system control scheme based on the embedded game model

Kim

2017

J Wireless Com Network

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As a promising paradigm for the 5G wireless communication system, a new evolution of the cloud radio access networks has been proposed, named as fog radio access networks (F-RANs). It is an advanced socially aware mobile networking architecture to provide a high spectral and energy efficiency while reducing backhaul burden. In particular, F-RANs take full advantages of social information and edge computing to efficiently alleviate the end-to-end latency. Based on the benefit of edge and cloud processing, key issues of F-RAN technique are radio resource allocation, caching, and service admission control. In this paper, we develop a novel F-RAN system control scheme based on the embedded game model. In the proposed scheme, spectrum allocation, cache placement, and service admission algorithms are jointly designed to maximize system efficiency. By developing a new embedded game methodology, our approach can capture the dynamics of F-RAN system and effectively compromises the centralized optimality with decentralized distribution intelligence for the faster and less complex decision making process. Through simulations, we compare the performance of our scheme to the existing studies and show how we can achieve a better performance under dynamic F-RAN system environments.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Comparison and Main Contributionsmentioning

confidence: 99%

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Fog radio access network system control scheme based on the embedded game model

Kim

2017

J Wireless Com Network

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“…In particular, there has been a rich literature using the NOMA technique as a promising candidate to design the air interface for the fifth generation (5G) cellular networks [6], [7]. In our previous work [12], we have first attempted to investigate the NOMA in practical heterogeneous networks 1 integrating with CRAN, namely heterogeneous CRAN (HCRAN). In the HCRAN, BSs of various types, such as macro BSs, micro BSs, remote radio head (RRH) based BSs, pico BSs, femto BSs, etc., are incorporated via a cloud to cooperatively assist the mobile users.…”

Section: Introductionmentioning

confidence: 99%

On the energy efficiency of NOMA for wireless backhaul in multi-tier heterogeneous CRAN

Tran

Truong

Phan

et al. 2017

2017 International Conference on Recent Advances in Signal Processing, Telecommunications &Amp; Computing (SigTelCom)

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Abstract-This paper addresses the problem of wireless backhaul in a multi-tier heterogeneous cellular network coordinated by a cloud-based central station (CCS), namely heterogeneous cloud radio access network (HCRAN). A non-orthogonal multiple access (NOMA) is adopted in the power domain for improved spectral efficiency and network throughput of the wireless downlink in the HCRAN. We first develop a power allocation for multiple cells of different tiers taking account of the practical power consumption of different cell types and wireless backhaul. By analysing the energy efficiency (EE) of the NOMA for the practical HCRAN downlink, we show that the power available at the cloud, the propagation environment and cell types have significant impacts on the EE performance. In particular, in a large network, the cells located at the cloud edge are shown to suffer from a very poor performance with a considerably degraded EE, which accordingly motivates us to propose an iteration algorithm for determining the maximal number of cells that can be supported in the HCRAN. The results reveal that a double number of cells can be covered in the urban environment compared to those in the shadowed urban environment and more than 1.5 times of the number of microcells can be deployed over the macrocells, while only a half number of cells can be supported when the distance between them increases threefold.

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“…The mixture of cells of different sizes forms a generalised network model of multiple overlaying layers or tiers, namely heterogeneous wireless cellular networks [2,[5][6][7][8][9][10][11][12], which have been shown to provide higher data rate and enhanced coverage for indoor and outdoor mobile users.…”

Section: Introductionmentioning

confidence: 99%

On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints

Omorinoye

Vien

2017

Applied Sciences

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Wireless indoor and outdoor microcells (WIOMs) have emerged as a promising means to deal with a high demand of mobile users for a variety of services. Over such heterogeneous networks, the deployment of WIOMs costs mobile/telecommunications company high capital expenditures and operating expenses. This paper aims at optimising the WIOMs taking into account various network communication environments. We first develop an optimisation problem to minimise the number of cells as well as determining their optimal locations subject to the constraints of the coverage and quality-of-service (QoS) requirements. In particular, we propose a binary-search based cell positioning (BSCP) algorithm to find the optimal number of cells given a preset candidate antenna positions. The proposed BSCP algorithm is shown to not only reduce the number of cells for saving resources but also requires a low computational complexity compared to the conventional approaches with exhaustive search over all available sites. Moreover, EDX SignalPro is exploited as a simulation platform to verify the effectiveness of the proposed BSCP for the WIOMs with respect to various propagation modes and antenna parameters of different types, including isotropic, multiple-input single-output and multiple-input multiple-output.

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Optimising energy efficiency of non‐orthogonal multiple access for wireless backhaul in heterogeneous cloud radio access network

Cited by 37 publications

References 29 publications

Fog radio access network system control scheme based on the embedded game model

Fog radio access network system control scheme based on the embedded game model

On the energy efficiency of NOMA for wireless backhaul in multi-tier heterogeneous CRAN

On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints

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