Performance Comparison between Round Robin andProportional Fair Scheduling Methods for LTE

Kawser, Mohammad T.

doi:10.7763/ijiee.2012.v2.186

Cited by 52 publications

(36 citation statements)

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“…The figure (15) shows the UE throughput ECDF distribution curve for 4x4 antenna configurations, here the Best CQI has an obvious advantage over the other scheduler in term of throughput distribution over UEs, while the performance of the RR and PF is degraded. …”

Section: Figure 11: Ue Throughput Ecdf (2x2)mentioning

confidence: 99%

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Performance Analysis of Scheduling Strategies in LTE based on Open-Loop Spatial Multiplexing MU-MIMO Transmission Mode

2016

IJSR

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Abstract:In this paper we will study the architecture of the Long Term Evolution LTE of Universal Mobile Telecommunication System UMTS with Multi User Multiple Input Multiple Output MU-MIMO technique. Open-Loop Spatial Multiplexing OLSM is one of nine transmission modes in LTE networks, in OLSM transmissions are configured with minimal feedback from the UE; we will consider OLSM in this study while performing three different types of scheduling algorithms that are used in LTE. The implementation of this study will use MATLAB software with LTE system level simulation, and results will collected for UE's throughputs and compared with each other for the different types of schedulers and with different antenna configurations such as 2x2, 2x4, and 4x4.

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Section: Figure 11: Ue Throughput Ecdf (2x2)mentioning

confidence: 99%

“…A resource block is divided in multiple resource elements (RE). A scheduler is a key element in the eNB and it assigns the time and frequency resources to different users in the cell [15]. Thus a RB is the smallest element that can be assigned by the scheduler.…”

Section: Downlink Scheduling In Ltementioning

confidence: 99%

Performance Analysis of Scheduling Strategies in LTE based on Open-Loop Spatial Multiplexing MU-MIMO Transmission Mode

2016

IJSR

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“…For still cases, Proportional Fair (PF) provides a higher throughput and if the users are on mobile cases Round Robin (RR) algorithm will outperform proportional fair (PF) [10]. Thus, for the simulation purposes as the UEs are in still condition proportional fair is taken as a better choice [16] [17]. Other parameters that are used for our simulation purposes are tabulated in Table 1.…”

Section: Simulationmentioning

confidence: 99%

Comparison of the LTE Performance Parameters in Different Environments under Close Loop Spatial Multiplexing (CLSM) Mode in Downlink LTE-A

Abied¹,

Shams²,

Kawser³

2017

JCC

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LTE-A present deployment strategies are likely to overcome the User Equipment (UE) performance degradation, in certain parts of the topology incorporated with coverage block holes, due to the presence of high rise buildings. It also promises to serve the increase of high user density, which otherwise results in capacity exhaustion of the macro cells. LTE-A addresses these challenges with new features such as small cell and femto cell in its recent releases. Small cell is a low-cost alternative to macro cell in rural and hard-to-reach areas and its installation at strategic points overcomes the capacity and coverage problem. In contrast, Heterogeneous network with its ubiquitous coverage can deliver high-speed data. In this paper, several LTE Key performance indicators e.g. average UE throughput, average area throughput, spectral efficiency, fairness index are analyzed between small cell network and Heterogeneous network in close loop spatial multiplexing mode (CLSM). Besides, we also emphasize on the point to find out the best suited network architecture for overpopulated and densely urban region under proportional fair scheduling algorithm.

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“…While this rate of data transmission UE is confined by factual meaning of signal to noise ratio (SNR). We also analyzed methods [5], [6], using algorithm Max C/I Ration, providing frequency and time resource UE with the best SNR meaning, without securing fair allocation the resource between UE. Besides, we analyzed methods of frequency and time allocation, using algorithm of Proportional Fair Scheduling [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

“…In the given research work we analyzed methods of frequency and time allocation, with the algorithm Round Robin Scheduler [3], [5], [6]. Round Robin Scheduler algorithm using supposes equal allocation of frequency and time resource for every UE.…”

Section: Introductionmentioning

confidence: 99%

The model of time and frequency resource scheduling in downlink LTE

Garkusha

2013

2013 International Siberian Conference on Control and Communications (SIBCON)

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-We apply the result of the model of time and frequency resource scheduling in downlink LTE development. The given model is directed upon securing the wireless network users being served by the allocation to user equipment required transmission rates. We completed comparative analysis of the offered model with existing methods from the point of view of securing the common productivity of downlink, level of bandwidth balancing, possibility of allocation to users equipment required transmission rate. We showed that the offered model under the highly required conditions to the transmission rate of user equipment in comparison with known methods let increase the bandwidth balancing of downlink for 5-20 % and 40-100 % to increase possibility of allocation the required transmission rate to user equipment.Index Terms-LTE, time-frequency resource, resource block, scheduling block, required transmission rate

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Performance Comparison between Round Robin andProportional Fair Scheduling Methods for LTE

Cited by 52 publications

References 1 publication

Performance Analysis of Scheduling Strategies in LTE based on Open-Loop Spatial Multiplexing MU-MIMO Transmission Mode

Performance Analysis of Scheduling Strategies in LTE based on Open-Loop Spatial Multiplexing MU-MIMO Transmission Mode

Comparison of the LTE Performance Parameters in Different Environments under Close Loop Spatial Multiplexing (CLSM) Mode in Downlink LTE-A

The model of time and frequency resource scheduling in downlink LTE

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