Cross-Layer Resource Allocation in OFDMA Systems for Heterogeneous Traffic With Imperfect CSI

Mokari, Nader; Javan, Mohammad Reza; Navaie, Keivan

doi:10.1109/tvt.2009.2035131

Cited by 66 publications

(46 citation statements)

References 11 publications

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“…Since we would like the average service time, that is E X k s i to be small, we choose the smaller root. Therefore holding the inequality in (12) www.ietdl.org requires that…”

Section: Problem Formulationmentioning

confidence: 99%

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Cross‐layer resource allocation in orthogonal frequency multiple access systems based on channel distribution information

Navaie¹

2013

IET Communications

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In this study, the authors propose a cross-layer resource allocation scheme for orthogonal frequency multiple access (OFDM) systems based on the subcarrier channel distribution information (CDI). Here, in contrast to most of the previous works, the authors consider practical discrete rate adaptation in which rate is adapted using a predefined set of modulation levels corresponding to fading regions. The OFDM system supports 'streaming traffic' that requires a minimum guaranteed average delay, as well as 'elastic traffic' with flexible rate requirements. The main objective is to maximise the total average transmission rate of elastic users, whereas the average delay is also guaranteed for streaming traffic, all subject to the maximum average transmission power constraint. The authors then propose an algorithm which finds suboptimal fading regions, as well as suboptimal subcarrier allocation based on dual decomposition method. In the proposed method, the solution of optimisation problem remains valid, until the channel distributions and/or the packet arrival and packet length distribution of the users are changed. This significantly reduces the computational complexity since there is no need to solve the optimisation problem for each channel side information (CSI) feedback. The proposed scheme also reduces the signalling overhead since corresponding to each user the CSI is required only for the assigned subcarriers. Particularly, the proposed method is suitable for cases in which wireless channel distributions is not changed, or can be simply estimated, for example, cases where a parametric distribution is fixed and only statistics such as average and variance is changed. Using simulations, the authors study the impact of number of fading regions and packet arrival rate on the achievable rate of elastic traffic.

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“…Since we would like the average service time, that is E X k s i to be small, we choose the smaller root. Therefore holding the inequality in (12) www.ietdl.org requires that…”

Section: Problem Formulationmentioning

confidence: 99%

“…Their algorithm allocates the resources dynamically to maximise the system throughput under delay constraint for individual users. In [12], we proposed cross-layer resource allocation for OFDMA systems, where we consider heterogeneous traffic and assume that imperfect CSI is available.…”

Section: Introductionmentioning

confidence: 99%

Cross‐layer resource allocation in orthogonal frequency multiple access systems based on channel distribution information

Navaie¹

2013

IET Communications

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“…To transform the constraint in (13), according to [22] an equation is obtained which models the relationship between the scheduled data rate of the user i and its traffic characteristic (τ i , λ i ). As mentioned in [23] for M/G/1 model…”

Section: Rra For Streaming Trafficmentioning

confidence: 99%

“…By mathematical derivations based on (14) which is provided in [22], the following constraint is obtained:…”

Section: Rra For Streaming Trafficmentioning

confidence: 99%

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Joint power and rate allocation in CDMA-based underlay cognitive radio networks for a mixture of streaming and elastic traffic

Dashti

Azmi

2012

J Wireless Com Network

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This article investigates the issue of radio resource allocation strategies for cognitive networks based on the underlay approach, while adhering to the interference constraint on the primary user. Joint rate and power allocation problem is considered for secondary users (SUs) with homogeneous and heterogenous traffic subject to the QoS and interference threshold constraints. Two well-known fairness approaches [max-min and proportional fairness (PF)] are compared for the proposed optimization problem. Three scenarios are considered. The first scenario corresponds to elastic traffic in which all the SUs are elastic users. In the second, it is assumed that all the SUs are streaming users. Considering the proportional and max min fairness, it is observed that for both fairness criterion the streaming users achieving higher throughput and fairness, compared with the elastic users due to the fact that for streaming users, stringent transmission rate guarantees are necessary to ensure real-time communication. Moreover, considering the requirements of future wireless networks, a cross-layer resource-allocation is proposed for heterogeneous traffic in the third scenario. A combination of streaming traffic (which requires a maximum guaranteed average delay) and elastic traffic (with flexible rate requirements) is investigated. The optimization problem allocates the available resources to the streaming users such that the delay constraints of the streaming users are satisfied. Through extensive simulations, the effect of streaming traffic, Interference threshold, minimum processing gain, imperfect channel state information and signal-to-interference-noise ratio constraint on the total throughput of elastic users are investigated. Simulation results demonstrate that in all scenarios PF outperforms max min fairness. Furthermore, it is shown that increasing the number of streaming traffic results in lower throughput of elastic users for both PF and max min fairness.

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Energy‐efficient WirelessOFDMANetworks

Vannithamby

Talwar

2016

Towards 5G

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Cross-Layer Resource Allocation in OFDMA Systems for Heterogeneous Traffic With Imperfect CSI

Cited by 66 publications

References 11 publications

Cross‐layer resource allocation in orthogonal frequency multiple access systems based on channel distribution information

Cross‐layer resource allocation in orthogonal frequency multiple access systems based on channel distribution information

Joint power and rate allocation in CDMA-based underlay cognitive radio networks for a mixture of streaming and elastic traffic

Energy‐efficient WirelessOFDMANetworks

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