Title: Parameter aware utility proportional fairness scheduling technique in a communication network

Authors: Neeraj Kumar; Anwar Ahmad; Shashank Awasthi; Kavita Sharma

Addresses: Department of Electronics and Communication Engineering, Jamia Millia Islamia, Jamia Nagar, Okhla, New Delhi, Delhi 110025, India ' Department of Electronics and Communication Engineering, Jamia Millia Islamia, Jamia Nagar, Okhla, New Delhi, Delhi 110025, India ' Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology and Management, Plot No. 2, Knowledge Park III, Greater Noida, Dist. G.B. Nagar, UP, Pin – 201306, India ' Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology and Management, Plot No. 2, Knowledge Park III, Greater Noida, Dist. G.B. Nagar, UP, Pin – 201306, India

Abstract: Conventionally, real-time (inelastic) users and non-real-time (elastic) users are scheduled separately. Further, some users may be left without getting any radio resources. In real scenario, such as in high network traffic, less network coverage, resource allocation for all types of users are needed. In the proposed technique, a utility function is defined for each elastic traffic and inelastic traffic type users. Then, it maximises the total utilities by network utility maximisation approach with considering scheduling parameters such as queue length, head of the line delay and experienced channel condition. Rate allocation based on queue awareness improves fairness among elastic traffic users, delay awareness improves QoS performance of inelastic traffic users and channel condition awareness improves throughput of all users. Further, the network utility maximisation approach provides minimum throughput to all users.

Keywords: utility function; proportional fairness; rate allocation; throughput; queue; delay; logarithmic function; sigmoidal function.

DOI: 10.1504/IJICA.2021.10036515

International Journal of Innovative Computing and Applications, 2021 Vol.12 No.2/3, pp.98 - 107

Received: 02 Oct 2019
Accepted: 07 Feb 2020

Published online: 18 Mar 2021 *

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