Framework for Multi-Operator Collaboration for Green Communication

Safwat, Mahammad A.

doi:10.1109/access.2017.2776254

Cited by 14 publications

(7 citation statements)

References 33 publications

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“…Ghazzai et al suggested a process for eliminating redundant base stations in a shared network while maintaining the QoS [17]. Shafwat et al proposed a method for roaming between radio base stations of multiple operators in order to reduce overall power consumption [18]. Finally, Shah et al described a negotiation protocol between mobile network operators for sharing of network resources within small-cell networks [19].…”

Section: B Approaches To Multi-operator Collaborationmentioning

confidence: 99%

A deep-Q learning approach to mobile operator collaboration

Karapantelakis

Fersman

2020

J. Commun. Netw.

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Next-generation mobile connectivity services include a large number of devices distributed across vast geographical areas. Mobile network operators will need to collaborate to fulfill service requirements at scale. Existing approaches to multioperator services assume already-established collaborations to fulfill customer service demand with specific quality of service (QoS). In this paper, we propose an agent-based architecture, where establishment of collaboration for a given connectivity service is done proactively, given predictions about future service demand. We build a simulation environment and evaluate our approach with a number of scenarios and in context of a real-world use case, and compare it with existing collaboration approaches. Results show that by learning how to adapt their collaboration strategy, operators can fulfill a greater part of the service requirements than by providing the service independently, or through pre-established, intangible service level agreements.

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Section: B Approaches To Multi-operator Collaborationmentioning

confidence: 99%

A deep-Q learning approach to mobile operator collaboration

Karapantelakis

Fersman

2020

J. Commun. Netw.

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“…According to [6], [7], BSs in the radio access networks (RAN) contribute about 60-80% of entire energy expenditure which places a cumbersome burden on the traditional grid supply and thereby contribute a significant amount of global carbon emissions to the atmosphere. Studies have revealed that paramount energy consumption in mobile networks is due to BSs which is typically designed for peak demand regardless of the tempo-spatial diversity of traffic load [8]- [10]. In response to the request of reducing energy consumption, dependency on conventional electric grid supply and importance on global development and financial aspects, cellular operators are extensively focused on green communications concentrating on minimum net present cost (NPC) and toxic emissions.…”

Section: Introductionmentioning

confidence: 99%

Techno-Economic and Energy Efficiency Analysis of Optimal Power Supply Solutions for Green Cellular Base Stations

Jahid

Hossain²,

Monju

et al. 2020

IEEE Access

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The widespread proliferation of internet access, affordable wireless gadgets, the user data demand and the corresponding extended cellular networks entailing significant energy consumption and carbon footprints. With the added benefits of renewable energy harvesting (REH) technology, telecom base stations (BSs) are predominantly supplied by green power sources to reduce operational expenditure (OPEX) and atmospheric pollution with guaranteed quality of service (QoS). Accordingly, this paper examines the plausibility of optimal power supply solutions such as standalone solar photovoltaic (PV), hybrid PV/wind turbine (PV/WT), hybrid PV/diesel generator (DG) and hybrid PV/electric grid (PV/EG) to feed the Long Term Evolution (LTE) BSs pertaining to technical, economic and environmental aspects in Bangladesh. An extensive Monte-Carlo based simulations are performed to evaluate wireless network performance in terms of throughput, energy efficiency (EE), energy efficiency gain (EE gain), average energy savings, radio efficiency varying system bandwidth (B) and BS transmission power (P TX) considering the dynamic behavior of traffic intensity and renewable energy (RE) generation profile. By leveraging the cell zooming technique and a green traffic steering framework endeavors to minimize the net present cost and maximize the average energy savings as well. The simulation results reveal that the cell zooming technique attained energy savings yielding up to 36% and improvement of EE gain achieved about 23% with effective modeling of REH. Subsequently, a comprehensive comparison of the aforementioned schemes is pledged for further validation. INDEX TERMS Green cellular networks, renewable energy harvesting, hybrid energy, energy efficiency, cell zooming, eco-sustainability, LTE.

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“…However, a dramatic increase of traffic demand after an initial C-RAN deployment is still one of the practical challenges to be overcome [3], [4]. It is commonly known that collaboration among multiple mobile network operators (MNOs) in a specific service region is a cost-effective solution to meet the growth of user demands without further expenditure to densify the number of wireless nodes [5], [6]. The main concept of inter-operator cooperation we will leverage hereafter is that all the user equipments (UEs) in shared cellular networks can be served by any base stations (BSs) belonging to cooperating MNOs within the overlapped coverage area, in a similar manner to the conventional roamingbased network sharing [6], in addition to the spectrum sharing between MNOs [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

On the benefit of inter‐operator cooperation in C‐RAN

et al. 2020

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Cooperation of co-located mobile network operators can provide potential benefits for the capacity expansion without further densification of radio nodes. However, such benefits need to be scrutinised for coexisting cloud radio access network (C-RAN) operators because the inter-operator cooperation may compromise the superb interference coordination capability that each C-RAN has. Furthermore, altering C-RAN infrastructure for the cooperation incurs a high investment cost. In this paper, quantitative gain of inter-operator coordination strategies is evaluated to provide the C-RAN operators with a guideline on their cooperation decisions. The coordination strategies encompass dynamic user association and the spectrum sharing which aim at maximising the total user throughput. A heuristic algorithm is proposed that reduces the computational burden of the coordination significantly. Numerical results suggest that the inter-operator cooperation is beneficial particularly when the network size of each operator tends to be highly asymmetric. It is also verified that the users who belong to smaller network attain more coordination gains.

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Framework for Multi-Operator Collaboration for Green Communication

Cited by 14 publications

References 33 publications

A deep-Q learning approach to mobile operator collaboration

A deep-Q learning approach to mobile operator collaboration

Techno-Economic and Energy Efficiency Analysis of Optimal Power Supply Solutions for Green Cellular Base Stations

On the benefit of inter‐operator cooperation in C‐RAN

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