Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/11

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Publisher: search.filters.publisher.Institute of Electrical and Electronics Engineers Inc.Subject: search.filters.subject.Resource allocation

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  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 2
    Joint Routing and Resource Allocation for Software Defined Mobile Networks
    (Institute of Electrical and Electronics Engineers Inc., 2019) Özbek, Berna; Aydoğmuş, Yiğitcan; Ulaş, Aydın; Görkemli, Burak
    The need for software defined mobile networking (SDMN) increases to manage the complexity in communication networks for the fifth generation mobile networks and beyond, with increasing diverse demand on data traffic in wireless environments. The separation of the data and control planes offers flexibility in future networks with SDMN by taking into account to the wireless access problem in complex radio environments. In this paper, we propose an efficient joint routing and resource allocation algorithm to minimize the cost based on power consumption while satisfying both throughput and delay requirement of the flows under a given capacity of links in night time traffic through SDMN. The power consumption is determined based on the number of active OpenFlow switches and active ports in the network. In the proposed joint algorithm, we put the selected network components to sleep mode in order to reduce overall network power consumption. The performances of the proposed algorithm are illustrated under different throughput constraints in various network topologies and scenarios in night-time traffic. © 2019 IEEE.
  • Conference Object
    Citation - Scopus: 2
    Fairness Aware Resource Allocation for Downlink Miso-Ofdma Systems
    (Institute of Electrical and Electronics Engineers Inc., 2012) Baştürk, İlhan; Özbek, Berna
    In this paper, a resource allocation problem for downlink multiple input-single output orthogonal frequency division multiple access (MISO-OFDMA) systems is investigated. The problem is defined as maximizing the minimum user rate with the constraints of total power and bit error rate (BER). Since it is difficult to obtain the optimal solution to this problem, a suboptimal but efficient solution is proposed based on zero forcing beamforming (ZFBF) to reduce computational complexity. The proposed algorithm is a fairness aware radio resource allocation algorithm that shares the resources equally among the users who has different distances from the Base Station (BS). The simulation results show that the proposed algorithm satisfies the fairness criterion having higher data rates compared to the existing algorithms. © 2012 IEEE.