Proportional Fair Multiuser Scheduling in LTE

Kwan, R.; Leung, Cyril; Zhang, Jie

doi:10.1109/lsp.2009.2016449

Cited by 232 publications

(119 citation statements)

References 7 publications

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“…Figure 6 plots the empirical CDF of EESM and the CDF from the proposed lognormal model. Correlation between the th and th PRBs is modeled using the following geometrically decaying correlation model [12]:…”

Section: B Empirical Verification Of Lognormal Model For Eesmmentioning

confidence: 99%

“…3 One can, therefore, see that it is quite a challenge to analyze the performance of next generation OFDM systems, such as LTE, that use a spectrally efficient combination of rate adaptation, multiple antenna techniques, and frequencydomain scheduling, and employ EESM to generate CQI feedback. Consequently, most papers that deal with scheduling, adaptation, or CQI feedback for the LTE downlink resort to simulations [9], [12]- [14]. For example, in [13], contiguous and distributed subcarrier allocations are compared by simulations, and their effects on the throughput of greedy and proportional fair (PF) schedulers is evaluated.…”

Section: Introductionmentioning

confidence: 99%

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An Accurate Model for EESM and its Application to Analysis of CQI Feedback Schemes and Scheduling in LTE

Donthi

Mehta²

2011

IEEE Trans. Wireless Commun.

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Abstract-The Effective Exponential SNR Mapping (EESM)is an indispensable tool for analyzing and simulating next generation orthogonal frequency division multiplexing (OFDM) based wireless systems. It converts the different gains of multiple subchannels, over which a codeword is transmitted, into a single effective flat-fading gain with the same codeword error rate. It facilitates link adaptation by helping each user to compute an accurate channel quality indicator (CQI), which is fed back to the base station to enable downlink rate adaptation and scheduling. However, the highly non-linear nature of EESM makes a performance analysis of adaptation and scheduling difficult; even the probability distribution of EESM is not known in closed-form. This paper shows that EESM can be accurately modeled as a lognormal random variable when the subchannel gains are Rayleigh distributed. The model is also valid when the subchannel gains are correlated in frequency or space. With some simplifying assumptions, the paper then develops a novel analysis of the performance of LTE's two CQI feedback schemes that use EESM to generate CQI. The comprehensive model and analysis quantify the joint effect of several critical components such as scheduler, multiple antenna mode, CQI feedback scheme, and EESM-based feedback averaging on the overall system throughput.Index Terms-Effective exponential SNR mapping (EESM), long term evolution (LTE), orthogonal frequency division multiplexing (OFDM), channel quality feedback, multiple antenna diversity, frequency-domain scheduling, adaptive modulation and coding, lognormal random variable.

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Section: B Empirical Verification Of Lognormal Model For Eesmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Accurate Model for EESM and its Application to Analysis of CQI Feedback Schemes and Scheduling in LTE

Donthi

Mehta²

2011

IEEE Trans. Wireless Commun.

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“…It also proposes a suboptimal solution to handle complexity in multi-user environment. The Proportional Fair (PF) Multi-user Scheduler proposed in [33] provides superior fairness at low complexity, with modest loss of throughput.…”

Section: A Schedulingmentioning

confidence: 99%

3GPP LTE/SAE: An Overview

Chadchan¹,

Akki²

2010

IJCEE

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Abstract-3GPP LTE/SAE is a next generation radio access system that supports future end-user requirements. The fundamental aim of long-term evolution (LTE) is to improve the service provisioning and reduce user and operators cost, which will be fulfilled by improving data rates, coverage, system capacity and reducing latency. The paper presents the technical overview of Long Term Evolution (LTE)/ System Architecture Evolution (SAE), the QoS provisioning aspects of Evolved Packet System (EPS), the key research challenges and the ongoing work to provide solutions. The discussion also provides an insight into 3GPP LTE-Advanced, which is the future of LTE on the roadway to 4G. The paper provides the valuable and concise information to the researchers in the area of 3GPP LTE and 4G.

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“…While it is known that techniques such as FHSS can be used, packet scheduling in a RB is still a major challenge as it requires a multi-criteria optimization methodology. Various packet scheduling schemes are proposed in the literature including proportional fair, round robin, fair queuing, weighted fair queuing, inverse weighted queuing and inverse weighted fair queuing [2][3][4][5]. In order to create a better scheduling, focus is provided on different aspects of a channel such as number of subcarriers, number of resource blocks, quality of channel, modulation scheme used e.g.…”

Section: Introductionmentioning

confidence: 99%