Researcher:
Saimler, Merve

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PhD Student

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Merve

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Saimler

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Saimler, Merve

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2014 - 20204

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Researcher Of Publications: search.filters.isAuthorOfPublication.47ecbb36-2e7c-4b15-8669-36e2a4ab798e

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    Uplink/downlink decoupled energy efficient user association in heterogeneous cloud radio access networks
    (Elsevier, 2020) N/A; N/A; Department of Electrical and Electronics Engineering; Saimler, Merve; Ergen, Sinem Çöleri; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 7211
    Heterogeneous Cloud Radio Access Networks (H - CRAN) is a network architecture that combines Macro Base Stations (MBS)s and Small Base Stations (SBS)s with cloud infrastructures. The dense deployment of SBSs in H-CRAN is needed to provide high data rates to User Equipments (UEs) but causes high energy consumption. Unrealistic power models lead to inefficient UE association schemes in terms of energy. In this paper, we study the joint optimization of Uplink (UL) and Downlink (DL) decoupled UE association and switching on/off the SBSs in H-CRAN by incorporating a realistic power model with the objective of minimizing the power consumption in H-CRAN. The power model encompasses static and the dynamic power consumption of MBS, the static power consumption of SBS, the power consumption of transmission links to cloud infrastructure and the power consumption of UEs. The problem is transformed into Single Source Capacitated Facility Location Problem (SSCFLP) which is NP-Hard. We then propose a heuristic algorithm based on the use of LP relaxation and solving many-to-one assignment problem with generalized assignment problem heuristics. Extensive simulations demonstrate that the proposed heuristic algorithm performs very close to optimal and achieves significant improvements in minimizing total power consumption compared to coupled UE association algorithm and algorithms utilizing the power consumption models that do not encompass MBS dynamic power consumption and the power consumption of transmission links to cloud infrastructure for various scenarios.
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    Power boundedness in Fourier and Fourier-Stieltjes algebras and other commutative Banach algebras
    (IEEE, 2019) N/A; Department of Electrical and Electronics Engineering; Saimler, Merve; Ergen, Sinem Çöleri; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 7211
    Cellular vehicle to Everything (C - V2X) is the technology, which incorporates V2X communication and vehicular user (VUE) to network communication, and enables the system to select the communication interface, which can provide safe, reliable and energy efficient communication for VUEs. We study energy efficient VUE association problem, which aims to balance the power consumption of VUEs and cellular infrastructure with the help of the selection of the appropriate communication interface. the problem aims to minimize power consumption of the network for Uplink (UL) and Downlink (DL) decoupled UE association scheme, considers switching on/off the Small Base Stations (SBS)s and supports C-V2X link formation either over LTE-Uu conventional cellular radio interface and 5G or over Sidelink (SL), PC5 radio interface. We additionally incorporate realistic power consumption model for BSs, VUEs in UL and Fronthaul (FH) links, centralized controller and Transmit (TX) and Receive (RX) operations of VUEs. Simulation results demonstrate that enabling the selection of communication interface provides decrease in power consumption of the network instead of forcing VUEs to form communication links over LTE-Uu conventional cellular radio interface for varying number of distance thresholds and VUEs.
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    Lifetime analysis of wireless sensor nodes in different smart grid environments
    (Springer, 2014) Eriş, Çiğdem; Güngör, Vehbi Çağrı; Fadel, Etimad; Akyıldız, Ian F.; Saimler, Merve; PhD Student; Graduate School of Sciences and Engineering; N/A
    Wireless sensor networks (WSNs) can help the realization of low-cost power grid automation systems where multi-functional sensor nodes can be used to monitor the critical parameters of smart grid components. The WSN-based smart grid applications include but not limited to load control, power system monitoring and control, fault diagnostics, power fraud detection, demand response, and distribution automation. However, the design and implementation of WSNs are constrained by energy resources. Sensor nodes have limited battery energy supply and accordingly, power aware communication protocols have been developed in order to address the energy consumption and prolong their lifetime. In this paper, the lifetime of wireless sensor nodes has been analyzed under different smart grid radio propagation environments, such as 500 kV substation, main power control room, and underground network transformer vaults. In particular, the effects of smart grid channel characteristics and radio parameters, such as path loss, shadowing, frame length and distance, on a wireless sensor node lifetime have been evaluated. Overall, the main objective of this paper is to help network designers quantifying the impact of the smart grid propagation environment and sensor radio characteristics on node lifetime in harsh smart grid environments.
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    Multi-connectivity based uplink/downlink decoupled energy efficient user association in 5G heterogenous CRAN
    (Institute of Electrical and Electronics Engineers (IEEE), 2020) Department of Electrical and Electronics Engineering; Saimler, Merve; Ergen, Sinem Çöleri; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 7211
    Multi-connectivity (MC) is proposed in Fifth-Generation mobile communications systems (5G) to mitigate the deterioration of Quality-of-Service owing to line-of-sight blockage and lack of communication resources. The main idea of MC is to associate single user equipment with multiple network layers and multiple radio access technologies, simultaneously. In previous studies, MC is demonstrated to increase capacity, provide high reliability and decrease outage probability. However, for the first time in literature, in this letter, we incorporate MC into the optimization of the total power consumption in 5G Heterogeneous Cloud Radio Access Networks ( HCRAN )s. Upon formulation of the problem as a binary integer linear programming problem, proving its NP-hardness, a heuristic algorithm is proposed consisting of linear programming relaxation and rounding and generalized assignment problem heuristic, which takes the outputs of the linear programming relaxation and rounding as inputs and checks if it further minimizes the power consumption. We analyze power consumption, time complexity and achievable rate of the proposed algorithm and verify its superiority over existing methods by simulations.