Resource allocation algorithm for LTE networks using fuzzy based adaptive priority and effective bandwidth estimation

• Published in: Wireless networks Vol. 24; no. 2; pp. 423 - 437
• Main Authors: Abrahão, Diego Cruz, Vieira, Flávio Henrique Teles
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2018; Springer Nature B.V
• Subjects: Algorithms; Bandwidths; Communications Engineering; Computer Communication Networks; Computer simulation; Data loss; Electrical Engineering; Engineering; Fuzzy logic; IT in Business; Mobile communication systems; Modulation; Networks; Parameter estimation; Resource allocation; Resource scheduling; Traffic flow; Wavelet analysis; Wireless communications; Wireless networks; MWM; QoS; Bandwidth effective; Scheduling; Fuzzy; LTE; Modeling
• DOI: 10.1007/s11276-016-1344-6
• ISSN: 1022-0038

In this paper, we propose a scheme to allocate resource blocks for the Long Term Evolution (LTE) downlink based on the estimation of the effective bandwidths of traffic flows, where users’ priorities are adaptively computed using fuzzy logic. The effective bandwidth of each user traffic flow that is estimated through the parameters of the adaptive β -Multifractal Wavelet Mode modeling, is used to attain their quality of service (QoS) parameters. The proposed allocation scheme aims to guarantee the QoS parameters of users respecting the constraints of modulation and code schemes (modulation and coding scheme) of the LTE downlink transmission. The proposed algorithm considers the average channel quality and the adaptive estimation of effective bandwidth to decide about the scheduling of available radio resources. The efficiency of the proposed scheme is verified through simulations and compared to other algorithms in the literature in terms of parameters such as: system throughput, required data rate not provided, fairness index, data loss rate and network delay.