A modified joint uplink-downlink opportunistic scheduling for Quality of Service guarantees

Yaacoub, Elias; El-Hajj, Ahmad M.; Dawy, Zaher

doi:10.1109/iccw.2013.6649382

Cited by 6 publications

(1 citation statement)

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“…Modified opportunistic scheduling algorithm for optimization problem of joint UL/DL scheduling scheme in OFDM system is proposed in the study 23,24 . The proposed outage probability expression for the joint UL/DL demonstrates that QoS outage is decreased in the bandwidth allocation among the users.…”

Section: Related Workmentioning

confidence: 99%

Bidirectional resource scheduling algorithm for advanced long term evolution system

Gatti

Shankar

2020

Engineering Reports

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The 5G long term evolution-advanced (LTE-A) system aims to offer unprecedent data rates, user experience, and minimal latency amongst the end users with the introduction of carrier aggregation (CA) technology. Radio resource management (RRM) with scheduler is responsible for satisfying the user quality of service (QoS) requirements through resource allocation. Due to the need for an uninterrupted bidirectional communication between the eNodeB and user equipment (UE) in LTE-A, the joint scheduling algorithm is acknowledged as a central research prospect. In this article, a modified joint uplink/downlink (UL/DL) user carrier scheduling algorithm satisfying demand service requests UE, is proposed. The joint optimization of the subcarrier assignment in an orthogonal frequency-division multiplexing-based network is utilized to balance the resource coupling between the UL/DL directions. CA is used to determine the weight factors required for the bandwidth allocation within the mobile users based on the QoS class identifier. These weight factors are employed as probability functions for resource allocation. The proposed algorithm will reduce the computational complexity arised in the conventional joint UL/DL scheduling algorithm based on the suboptimal solutions via probability functions. The simulation results show that the packet loss rate and packet delay among the mobile users are substantially reduced for both real-time and nonreal-time services.

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Section: Related Workmentioning

confidence: 99%