Energy-efficient transmission strategies for CoMP downlink—overview, extension, and numerical comparison

Nguyen, Kien-Giang; Tervo, Oskari; Vu, Quang-Doanh; Tran, Le-Nam; Juntti, Markku

doi:10.1186/s13638-018-1214-2

Cited by 8 publications

(5 citation statements)

References 42 publications

(140 reference statements)

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“…Other radio related tasks include user pairing to an optimal RRH or to a set of RRH antenna resources, in a coordinated multipoint (CoMP) and/or beamforming design. In particular, recent research works on CoMP [46][47][48][49][50] provide evidence on the traditional benefit of interference mitigation where interfering signals from neighboring RRHs are used constructively to provide diversity gain enhancing the reliability of the received signal. Moreover, applying self-organization to the RRHs by selectively and automatically powering on/off according to the load variation has also been extensively addressed.…”

Section: Ee Radio Resources Allocationmentioning

confidence: 99%

Virtual Networking for Lowering Cost of Ownership

Marzouk

Lashgari

Barraca

et al. 2021

Enabling 6G Mobile Networks

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5G and beyond mobile networks hold the promise of supporting a vast emergence of new services and increased traffic growth. This represents a challenge for mobile networks operators, which are faced with the pressure of providing a variety of these services according to the stringent requirements of future mobile network generations, while still being able to i) preserve service resilience ii) sustain profitability by reducing costs, and iii) ensuring minimal energy consumption in the infrastructure. Fortunately, emerging 5G and beyond networks are expected to adopt increasingly prominent technological drivers that can tackle the above challenges by pushing the planning and management operations logic to the limit.

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Section: Ee Radio Resources Allocationmentioning

confidence: 99%

Virtual Networking for Lowering Cost of Ownership

Marzouk

Lashgari

Barraca

et al. 2021

Enabling 6G Mobile Networks

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show abstract

“…A major challenge used to be the considerable power consumed, by the several-coordinated RRHs. Recently, several efforts have proved that CoMP can be used, while also bringing EE to the C-RAN [170], [171], [172], [173], [174], [175]. This can be achieved by using the coordinated beamforming CoMP, where RRH antennas can steer the signals in narrow beams, leading to improved signal to noise ratio; hence, lower transmission power [173].…”

Section: Classification Of Ee Resource Allocation Effortsmentioning

confidence: 99%

On Energy Efficient Resource Allocation in Shared RANs: Survey and Qualitative Analysis

Marzouk

Barraca

Radwan

2020

IEEE Commun. Surv. Tutorials

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An expansion of services and unprecedented traffic growth is anticipated in future networks, aligned with the adoption of the long-awaited Fifth Generation (5G) of mobile communications. To support this demand, without exposing mobile operators to the pressure of CAPEX and OPEX, 5G uses new frequency bands, and adopts promising trends, including: densification, softwarization, and autonomous management. While the first technology is proposed to handle the traffic growth requirements, the softwarization and autonomous management are expected to play, in synergy, to ensure the desired trade-off between reducing the CAPEX and OPEX, while guaranteeing the quality of service (QoS). Softwarization is expected to transform the network design, from one size fits all, to more demand oriented adaptive resource allocation. In this work, we focus on this point, by discussing how these technologies act in synergy towards enabling RAN sharing. Particularly, we focus on how they fit into the issue of energy efficient Multi-Operator Resource Allocation (MO-RA). After a survey and classification of schemes leveraging this synergy for distinct resource allocation (RA) objectives, we present a detailed survey and qualitative classification of RA schemes with respect to energy efficiency. This work presents an innovative survey, since it concentrates on multiple operators, and the enabling of Mobile Virtual Network Operators (MVNOs), which will come into play with the complete virtualization of mobile networks. Based on the deep literature analysis of the different operations that can bring energy savings to MO-RA, we conclude the work with listing open challenges and future research directions.

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“…Remark The GEE is considered a network‐centric EE metric, whereas the MEE, PEE, and SEE are user‐centric metrics …”

Section: Network Modelmentioning

confidence: 99%

Joint relay selection and energy‐efficient power allocation strategies in energy‐harvesting cooperative NOMA networks

Baidas

Alsusa

Hamdi

2019

Trans Emerging Tel Tech

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In this paper, the problem of joint relay selection and energy‐efficient power allocation (J‐RS‐EE‐PA) in energy‐harvesting cooperative nonorthogonal multiple‐access networks is considered. In particular, a base station communicates with multiple users via a selected energy‐harvesting relay, such that energy efficiency (EE) is maximized, subject to quality‐of‐service constraints. Four different EE power allocation strategies are considered, namely, global energy efficiency, minimum energy efficiency, product energy efficiency, and sum energy efficiency. For all the aforementioned strategies, the J‐RS‐EE‐PA problem happens to be nonconvex and, thus, is computationally prohibitive. In turn, the J‐RS‐EE‐PA problem is decoupled into two subproblems: (1) relay selection and (2) energy‐efficient power allocation. Different relay selection strategies are explored, and then, computationally efficient algorithms are devised to optimally solve the different EE power allocation strategies for the selected relay. In addition, a low‐complexity solution procedure is proposed to solve the J‐RS‐EE‐PA problem. Simulation results are presented to evaluate the resulting EE of the different relay selection and power allocation strategies in comparison to the formulated J‐RS‐EE‐PA problem. More importantly, the proposed solution procedure is shown to be superior to the different explored relay selection strategies as well as yielding the global optimal solution of the J‐RS‐EE‐PA problem for the global energy efficiency, minimum energy efficiency, product energy efficiency, and sum energy efficiency strategies, while satisfying quality‐of‐service requirements.

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Energy-efficient transmission strategies for CoMP downlink—overview, extension, and numerical comparison

Cited by 8 publications

References 42 publications

Virtual Networking for Lowering Cost of Ownership

Virtual Networking for Lowering Cost of Ownership

On Energy Efficient Resource Allocation in Shared RANs: Survey and Qualitative Analysis

Joint relay selection and energy‐efficient power allocation strategies in energy‐harvesting cooperative NOMA networks

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