Fairness and Throughput Analysis for Generalized Proportional Fair Frequency Scheduling in OFDMA

Wengerter, C.; Ohlhorst, J.; Elbwart, A.G.E. von

doi:10.1109/vetecs.2005.1543653

Cited by 187 publications

(114 citation statements)

References 5 publications

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“…As another suggestion for continued research, we note that the presented two-dimensional access selection approach, i.e. scheduling over users and radio accesses, may also be applicable to the scheduling problem ofdma systems [24], where the scheduling policy operates on users and frequency subcarriers.…”

Section: Discussionmentioning

confidence: 99%

Performance analysis of access selection and transmit diversity in multi-access networks

Berggren

Litjens²

2006

Proceedings of the 12th Annual International Conference on Mobile Computing and Networking

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Motivated by the 'beyond 3g' vision of radio access network integration and coordinated radio resource management, a purely analytical performance assessment is presented for a single access point integrating multiple radio accesses. Principal focus is placed on the evaluation of multi-user diversity, multi-access diversity and trunking gains. Scenarios with persistent and non-persistent data flows are investigated, concentrating on throughput and transfer time performance, respectively. A number of numerical experiments are included in order to quantify the relative contribution of the distinguished aspects to the performance gain. These experiments indicate that the exploitation of multi-user diversity with a channel-aware access selection scheme attains the most significant gains, while also the trunking gain that is due to an above-proportional performance enhancement when aggregating system-specific capacities, is noted to be significant. The assignment of multiple accesses to a given flow is demonstrated to have limited potential.

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Section: Discussionmentioning

confidence: 99%

Performance analysis of access selection and transmit diversity in multi-access networks

Berggren

Litjens²

2006

Proceedings of the 12th Annual International Conference on Mobile Computing and Networking

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“…La métrica mik propuesta para la conformación de los coeficientes de la función objetivo del planificador propuesto para el enlace de bajada de LTE está basada en la empleada por el algoritmo GPF [10] de la expresión 8.…”

Section: Fuente: Elaboración De Los Autoresunclassified

Evaluación del desempeño de un planificador de paquetes en el enlace de bajada de LTE empleando un algoritmo evolutivo

Hernández

2015

ingeniare

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El constante aumento de usuarios móviles y la demanda de aplicacionesde altos requerimientos de desempeño implican nuevos retos para el despliegue de los sistemas de comunicación inalámbricos, que pese a todas las limitaciones deben propender por la calidad de la experiencia de los abonados. La planificación de paquetes en el enlace de bajada juega un rol importante en los sistemas cuarta generación, ya que es la responsable de asignar en forma inteligente los recursos de radio a los usuarios, deacuerdo a un algoritmo establecido. En el estudio llevado a cabo se desarrolló un planificador de paquetes en el enlace de bajada de LTE basado en un algoritmo evolutivo; el desempeño obtenido es equiparable al de planificadores de paquetes convencionales

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“…RR is a nonchannel aware strategy that cyclically allocates chunks to users regardless whether the radio channel status is appropriate or not for the selected user in the scheduled frame. On the other hand, PF is a channel-aware strategy that is able to exploit the channel in time and frequency domain [21]. It takes into account the instantaneous signal-tointerference-plus-noise ratio (SINR) γ m ,n perceived by the mth user in the cell in the nth chunk to schedule users' transmissions.…”

Section: Reward Signal Formulationmentioning

confidence: 99%

An Application of Reinforcement Learning for Efficient Spectrum Usage in Next-Generation Mobile Cellular Networks

Bernardo

Agustí

Pérez‐Romero

et al. 2010

IEEE Trans. Syst., Man, Cybern. C

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Abstract-This paper proposes reinforcement learning as a foundational stone of a framework for efficient spectrum usage in the context of nextgeneration mobile cellular networks. The objective of the framework is to efficiently use the spectrum in a cellular orthogonal frequency-division multiple access network while unnecessary spectrum is released for secondary spectrum usage within a private commons spectrum access model. Numerical results show that the proposed framework obtains the best performance compared with other approaches for spectrum assignment. Moreover, the framework is relatively simple to implement in terms of computational requirements and signaling overhead.Index Terms-Cellular mobile networks, frequency assignment, reinforcement learning (RL), spectral efficiency.

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Fairness and Throughput Analysis for Generalized Proportional Fair Frequency Scheduling in OFDMA

Cited by 187 publications

References 5 publications

Performance analysis of access selection and transmit diversity in multi-access networks

Performance analysis of access selection and transmit diversity in multi-access networks

Evaluación del desempeño de un planificador de paquetes en el enlace de bajada de LTE empleando un algoritmo evolutivo

An Application of Reinforcement Learning for Efficient Spectrum Usage in Next-Generation Mobile Cellular Networks

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