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

Tran, Huu Q.; Truong, Phuc Quang; Phan, Ca Van; Vien, Quoc-Tuan

doi:10.1109/sigtelcom.2017.7849827

Cited by 39 publications

(35 citation statements)

References 17 publications

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“…† † Algorithms SM and I-SM can be executed with minimal overhead among BSs via backhaul links. 35,36 ‡ ‡ Intuitively, a user prefers to paired to an acceptable relay rather than remain unpaired.…”

Section: Algorithm Description: I-sm Algorithmmentioning

confidence: 99%

Joint relay selection and max‐min energy‐efficient power allocation in downlink multicell NOMA networks: A matching‐theoretic approach

Baidas

Bahbahani

El-Sharkawi

et al. 2019

Trans Emerging Tel Tech

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In this paper, the problem of joint relay selection and max‐min energy‐efficient power allocation (J‐RS‐MMEE‐PA) in downlink multicell nonorthogonal multiple access (NOMA) networks is studied. In particular, the goal is to perform relay selection for each cellular user within each cell, so as to achieve max‐min energy efficiency while satisfying quality‐of‐service (QoS) constraints. However, the formulated J‐RS‐MMEE‐PA problem happens to be nonconvex (ie, computationally intensive). In turn, a solution procedure for max‐min energy‐efficient power allocation is devised to determine the energy efficiency of each user per potential relay while meeting the target minimum rate per user. After that, the relay selection problem is modeled as a student‐project allocation with preferences over projects matching problem. A polynomial‐time complexity stable matching (SM) algorithm is proposed, which takes into account the maximum number of users that can select a relay as well as the number of users that can be associated with a base station. However, the proposed SM algorithm can only guarantee an SM size that is at least half the size of the maximum “optimal” cardinality SM. Thus, the improved SM (I‐SM) algorithm with polynomial‐time complexity is devised, so as to guarantee an SM size that is at least two‐thirds of that of the optimal matching. Lastly, simulation results are presented to compare the proposed matching algorithms to the J‐RS‐MMEE‐PA scheme, where it has been shown that the I‐SM algorithm is superior to its SM counterpart and yields comparable energy efficiency per cellular user to the J‐RS‐MMEE‐PA scheme while satisfying QoS constraints.

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Section: Algorithm Description: I-sm Algorithmmentioning

confidence: 99%

Joint relay selection and max‐min energy‐efficient power allocation in downlink multicell NOMA networks: A matching‐theoretic approach

Baidas

Bahbahani

El-Sharkawi

et al. 2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

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

Cited by 39 publications

References 17 publications

Joint relay selection and max‐min energy‐efficient power allocation in downlink multicell NOMA networks: A matching‐theoretic approach

Joint relay selection and max‐min energy‐efficient power allocation in downlink multicell NOMA networks: A matching‐theoretic approach

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

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

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