Joint uplink-downlink carrier aggregation scheme in LTE-A

Verikoukis, Christos

doi:10.1109/camad.2016.7790341

Cited by 3 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Channel dependent packet schedulers are more accurate in real life scenarios as they consider more parameters than channel independent schedulers. Most of the previous researchers have used proportional fairness (PF) [5][6][7], Round Robin (RR) [8,9] and other algorithms [10][11][12][13][14][15][16][17] for resource allocation with CA in an LTE-A system. However, some important parameters, such as packet delay or error rate are not considered.…”

Section: Introductionmentioning

confidence: 99%

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

et al. 2017

View full text Add to dashboard Cite

Long term evolution-advanced (LTE-A) system introduces carrier aggregation (CA) technique to improve the user throughput by aggregating multiple component carriers (CCs). Previous research works related to downlink radio resource allocation with carrier aggregation have not considered the delay factor and the error probability. Therefore, the previous methods are unable to provide better quality of service (QoS) compared to the LTE-A standard. This paper considers the radio resource management problem by zooming into the head of line delay, probability of packet loss, and the delay threshold for different types of data. In doing this, several constraints are imposed following the specifications of LTE-A system. Hence, an improved method is developed in this study to enhance the system throughput and to maintain the computational complexity. Extensive simulations were carried out with other well-known methods to verify the overall performance of the proposed method. The result obtained indicates that the proposed method outperforms the previous methods in the measurement of average user throughput, average cell throughput, fairness index, and spectral efficiency.

show abstract

Section: Introductionmentioning

confidence: 99%

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

et al. 2017

View full text Add to dashboard Cite

show abstract

“…n denotes the maximum number of component carriers that user n can aggregate. 24 For example, for the ith UE without having CA capability will have UL is the user utility function for the UL, which represents the bearer services for the end users. The aim of the proposed joint UL/DL scheduling in 5G networks is to maximize the resource utility functions while minimizing the difference between the UL and DL data rates.…”

Section: System Modelmentioning

confidence: 99%

“…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%

See 1 more Smart Citation

Bidirectional resource scheduling algorithm for advanced long term evolution system

Gatti

Shankar

2020

Engineering Reports

View full text Add to dashboard Cite

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.

show abstract