In this paper we outline a scheme to perform packet-level scheduling and resource allocation at the wireless node that takes into account the notions of both efficiency and fairness and presents a means to explore the trade-off between these two notions. As a part of this scheme we see the scheduling problem as deciding not just the packet transmission schedule but also the power allocation, the modulation and coding scheme allocation and the spreading code determination since the latter three directly influence the radio resources consumed. Using a utility maximization formulation based on the data-rates that the mobiles can transmit at, we decide on the weights for a weighted proportionally fair allocation based scheduling algorithm. We conclude with a simulation based performance analysis for infinitely-backlogged sources on a \UMTS\ system.
%0 Book Section
%1 Agrawal2001553
%A Agrawal, Rajeev
%A Bedekar, Anand
%A La, Richard J.
%A Subramanian, Vijay
%B Teletraffic Engineering in the Internet EraProceedings of the International Teletraffic Congress - ITC-I7
%D 2001
%E Jorge Moreira de Souza, Nelson L.S. da Fonseca
%E de Souza e Silva, Edmundo A.
%I Elsevier
%K itc itc17
%P 553 - 567
%R http://dx.doi.org/10.1016/S1388-3437(01)80151-7
%T Class and channel condition based weighted proportional fair scheduler
%V 4
%X In this paper we outline a scheme to perform packet-level scheduling and resource allocation at the wireless node that takes into account the notions of both efficiency and fairness and presents a means to explore the trade-off between these two notions. As a part of this scheme we see the scheduling problem as deciding not just the packet transmission schedule but also the power allocation, the modulation and coding scheme allocation and the spreading code determination since the latter three directly influence the radio resources consumed. Using a utility maximization formulation based on the data-rates that the mobiles can transmit at, we decide on the weights for a weighted proportionally fair allocation based scheduling algorithm. We conclude with a simulation based performance analysis for infinitely-backlogged sources on a \UMTS\ system.
@incollection{Agrawal2001553,
abstract = {In this paper we outline a scheme to perform packet-level scheduling and resource allocation at the wireless node that takes into account the notions of both efficiency and fairness and presents a means to explore the trade-off between these two notions. As a part of this scheme we see the scheduling problem as deciding not just the packet transmission schedule but also the power allocation, the modulation and coding scheme allocation and the spreading code determination since the latter three directly influence the radio resources consumed. Using a utility maximization formulation based on the data-rates that the mobiles can transmit at, we decide on the weights for a weighted proportionally fair allocation based scheduling algorithm. We conclude with a simulation based performance analysis for infinitely-backlogged sources on a \UMTS\ system. },
added-at = {2016-07-12T14:53:52.000+0200},
author = {Agrawal, Rajeev and Bedekar, Anand and La, Richard J. and Subramanian, Vijay},
biburl = {https://www.bibsonomy.org/bibtex/2b875884094edb226cf850f4bf60e3042/itc},
booktitle = {Teletraffic Engineering in the Internet EraProceedings of the International Teletraffic Congress - ITC-I7},
doi = {http://dx.doi.org/10.1016/S1388-3437(01)80151-7},
editor = {Jorge Moreira de Souza, Nelson L.S. da Fonseca and de Souza e Silva, Edmundo A.},
interhash = {40559f57ae7d3520091a8f7a43a39311},
intrahash = {b875884094edb226cf850f4bf60e3042},
issn = {1388-3437},
keywords = {itc itc17},
pages = {553 - 567},
publisher = {Elsevier},
series = {Teletraffic Science and Engineering },
timestamp = {2020-04-30T18:17:29.000+0200},
title = {Class and channel condition based weighted proportional fair scheduler },
volume = 4,
year = 2001
}