Performance Analysis of a Novel Downlink Scheduling Algorithm for LTE Systems

Escheikh, Mohamed; Jouini, Hana; Barkaoui, Kamel

doi:10.1109/inds.2014.10

Cited by 6 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The channel unaware scheduling method schedules resources evenly among UEs in the cell in frequency or time domain. The channel unaware scheduling method is also known as the "Round Robin" method [6].…”

Section: Factor D -Uplink Scheduling Algorithmmentioning

confidence: 99%

“…Similar to the USRD, the UTG also provided additional parameters useful for verification and troubleshooting. Parameters collected from the UTG include the number of currently attached loading UEs, the mean number of UEs signaled per TTI, and the number of RACH attempts 6 . Each of the UTG parameters were collected as an average value over a 500 mS time period.…”

Section: Data Sourcesmentioning

confidence: 99%

“…The sparsity of the data made these fits difficult to accomplish, and attempts to directly fit model (5.6) to the modeling experiment's 90th centile data failed through lack of convergence and sensitivity to starting values. A combination of homotopy 6 and the Levenberg-Marquardt procedure 7 enabled us to achieve the model fits presented here. These fitted centile models are presented in Fig.…”

Section: Effects Of Offered Load Scheduling and The Power Fractionmentioning

confidence: 99%

“…5 A sharp changeline is a line separating two regions of a surface such that the surface directional derivatives on the line and normal to it are discontinuous. 6 A homotopic solution to a difficult problem is obtained by solving a simple problem and then slowly and smoothly deforming that problem in the direction of the desired problem, at each step re-solving the problem using a perturbation of the solution from the previous step. In the present situation the model fit for the 50th centile data is relatively easy.…”

Section: Effects Of Offered Load Scheduling and The Power Fractionmentioning

confidence: 99%

“…(Note: the original spreadsheet downloaded from the the manufacturer's website was non-functional, so technical support provided an older version. The spreadsheet used was Revision 3.0.0, with dynamic link library (DLL) Revision 4,9,6,31). The spreadsheet gave a standard uncertainty of the transmission coefficient for the test conditions of less than 0.1 dB.…”

Section: A11 Vector Signal Analyzer Power Measurement Uncertainty Componentsmentioning

confidence: 99%

See 4 more Smart Citations

Characterizing LTE user equipment emissions under closed-loop power control

Coder¹,

Sanders²,

Frey³

et al. 2021

View full text Add to dashboard Cite

The work described herein was performed as a result of a spectrum sharing project request submitted to the National Advanced Spectrum and Communications Test Network (NASCTN). NIST is a founding charter member of NASCTN. This work was sponsored by Department of Defense (DoD) Defense Spectrum Organization (DSO), and conducted by NIST with support by MITRE. A summary of each organization's technical contributions follows.The project underwent formal screening and approval by the NASCTN Steering Committee. A description of NASCTN and listing of Charter Members at the time of publication of this report follows. National Advanced Spectrum and Communications Test Network (NASCTN)The mission of the National Advanced Spectrum and Communications Test Network (NASCTN) is to provide, through its members, a network for robust test processes and validated measurement data necessary to develop, evaluate and deploy spectrum sharing technologies that can improve access to the spectrum by both federal agencies and non-federal spectrum users.NASCTN is a member organization under a charter agreement. Members• Facilitate and coordinate work with federal, academic, and industry spectrum users to rapidly and cooperatively facilitate spectrum sharing and co-existence studies; • Work as a partnership to address the interests and equities of all spectrum stakeholders in a fair, equitable, and non-preferential manner; and • Through sharing of technical resources, with consideration for cost, provide liaison and support to coordinate and leverage existing national capabilities supporting government, academic, and industry testing and evaluation known to improve and expedite spectrum sharing and coexistence.

show abstract

Section: Factor D -Uplink Scheduling Algorithmmentioning

confidence: 99%

Section: Data Sourcesmentioning

confidence: 99%

Section: Effects Of Offered Load Scheduling and The Power Fractionmentioning

confidence: 99%

Section: Effects Of Offered Load Scheduling and The Power Fractionmentioning

confidence: 99%

Section: A11 Vector Signal Analyzer Power Measurement Uncertainty Componentsmentioning

confidence: 99%

See 3 more Smart Citations

Characterizing LTE user equipment emissions under closed-loop power control

Coder¹,

Sanders²,

Frey³

et al. 2021

View full text Add to dashboard Cite

show abstract

A New Channel-Aware Downlink Scheduling Algorithm for LTE-A and 5G HetNets

Ferreira

Guardieiro

2020

Communications in Computer and Information Science

View full text Add to dashboard Cite

Current and future cellular mobile networks, such as Long Term Evolution Advanced (LTE-A) and 5G, should provide wireless broadband access over radio channels for a growing number of users each day. However, in order to satisfy the service requirements of the User Equipments (UEs) applications, Radio Resource Management (RRM) mechanisms implemented in evolved NodeB (eNB) need to use efficient techniques to overcome limitations such as bandwidth scarcity, path loss, and channel fading. Therefore, this paper proposes a new channel-aware scheduling algorithm. Evaluation results show that the proposed algorithm is able to improve the cell edge throughput if compared to other algorithms. In addition, it offers better fairness performance.

show abstract

Performance Analysis of Resource Scheduling Techniques in Homogeneous and Heterogeneous Small Cell LTE-A Networks

Noliya

Kumar

2020

Wireless Pers Commun

View full text Add to dashboard Cite

Performance Analysis of a Novel Downlink Scheduling Algorithm for LTE Systems

Cited by 6 publications

References 4 publications

Characterizing LTE user equipment emissions under closed-loop power control

Characterizing LTE user equipment emissions under closed-loop power control

A New Channel-Aware Downlink Scheduling Algorithm for LTE-A and 5G HetNets

Performance Analysis of Resource Scheduling Techniques in Homogeneous and Heterogeneous Small Cell LTE-A Networks

Contact Info

Product

Resources

About