Title: An improved downlink packet scheduling algorithm for delay sensitive devices in both H2H and M2M communications in LTE-advanced networks

Authors: S. Radhakrishnan; S. Neduncheliyan; K.K. Thyagharajan

Addresses: Department of Computer Science and Engineering, PACE Institute of Technology and Sciences, NH-5, Near Valluramma Temple, Ongole-523272, Andhra Pradesh, India ' School of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India ' R.M.D. Engineering College, R.S.M. Nagar, Kavaraipettai, Gummidipoondi Taluk, Thiruvallur District, Chennai, Tamilnadu, India

Abstract: The demand for increased data rate with improved QoS for real-time data traffic is ever increasing in the present day wireless environment. The scheduling schemes available in the literature incur lot of scheduling overhead at the eNodeB. Therefore, this work recommends an energy efficient, QoS-aware scheduler with reduced scheduling complexity at the eNodeB, for transmission of delay sensitive data. The scheduling problem is composed as a gain of weighted transmission rates of all possible combinations of various resources required by the channel for transmitting data. An improved greedy algorithm at the eNodeB, has been developed to allocate the resources dynamically to the user equipments (UEs) for the transmission of real-time data. The input video frames to the algorithm are compressed using discrete wavelet transform. The results of this research work show that the proposed scheduling algorithm greatly improves the coverage of the cell edge users. The performance of this greedy scheduler is compared with other two notable schedulers in the literature namely LOG rule and EXP-rule. This scheduling algorithm outperforms the other schemes in terms of QoS parameters for real-time data transmission.

Keywords: LTE-advanced; greedy algorithm; downlink packet scheduling; CA; multi input and multi output; MIMO; M2M; QoS.

DOI: 10.1504/IJENM.2020.103916

International Journal of Enterprise Network Management, 2020 Vol.11 No.1, pp.94 - 111

Received: 21 Jul 2018
Accepted: 24 Mar 2019
Published online: 02 Dec 2019 *

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