Proportional fair scheduling algorithm in OFDMA-based wireless systems with QoS constraints

Girici, Tolga; Zhu, Chenxi; Agre, Jonathan R.; Ephremides, Anthony

doi:10.1109/jcn.2010.6388432

Cited by 66 publications

(36 citation statements)

References 15 publications

(3 reference statements)

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“…For example, one can update W k = 1/R k for each k in each TTI, whereR k is the average rate of UE k. There are several measurements to quantify fairness [32]. Jain's fairness index is one of the most common measures to represent fairness, defined as v =…”

Section: Performance Metricsmentioning

confidence: 99%

From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation

Lei¹

2016

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The rapid pace of innovations in information and communication technology (ICT) industry over the past decade has greatly improved people's mobile communication experience. This, in turn, has escalated exponential growth in the number of connected mobile devices and data traffic volume in wireless networks. Researchers and network service providers have faced many challenges in providing seamless, ubiquitous, reliable, and high-speed data service to mobile users. Mathematical optimization, as a powerful tool, plays an important role in addressing such challenging issues.This dissertation addresses several radio resource allocation problems in 4G and 5G mobile communication systems, in order to improve network performance in terms of throughput, energy, or fairness. Mathematical optimization is applied as the main approach to analyze and solve the problems. Theoretical analysis and algorithmic solutions are derived. Numerical results are obtained to validate our theoretical findings and demonstrate the algorithms' ability of attaining optimal or near-optimal solutions.Five research papers are included in the dissertation. In Paper I, we study a set of optimization problems of consecutive-channel allocation in single carrier-frequency division multiple access (SC-FDMA) systems. We provide a unified algorithmic framework to optimize the channel allocation and improve system performance. The next three papers are devoted to studying energy-saving problems in orthogonal frequency division multiple access (OFDMA) systems. In Paper II, we investigate a problem of jointly minimizing energy consumption at both transmitter and receiver sides. An energy-efficient scheduling algorithm is developed to provide optimality bounds and near-optimal solutions. Next in Paper III, we derive fundamental properties for energy minimization in load-coupled OFDMA networks. Our analytical results iii suggest that the maximal use of time-frequency resources can lead to the lowest network energy consumption. An iterative power adjustment algorithm is developed to obtain the optimal power solution with guaranteed convergence. In Paper IV, we study an energy minimization problem from the perspective of scheduling activation and deactivation of base station transmissions. We provide mathematical formulations and theoretical insights. For problem solution, a column generation approach, as well as a bounding scheme are developed. Finally, towards to 5G communication systems, joint power and channel allocation in nonorthogonal multiple access (NOMA) is investigated in Paper V in which an algorithmic solution is proposed to improve system throughput and fairness. iv Populärvetenskaplig SammanfattningDen snabba utvecklingen inom informations-och kommunikations teknikområdet har avsevärt förbättrat människors upplevelser av mobilkommunikation. Detta i sin tur har lett till en exponentiellökning av antalet anslutna mobila enheter och mängden datatrafik i mobila nätverk. Forskare och nätverksoperatörer har stått inför många utmaningar för att ...

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Section: Performance Metricsmentioning

confidence: 99%

From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation

Lei¹

2016

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“…Such an area-dependent metric has no channelawareness and thus no scheduling gain is observed from exploiting the diversity of the channel. Furthermore, we use a utility measure similar to proportional fairness to identify the deprived UEs [126]. For fair comparison among all the employed techniques, the total transmit power per eNB is fixed and the same across the entire simulation time.…”

Section: Simulation Studymentioning

confidence: 99%

On Interference Avoidance Through Inter-Cell Interference Coordination (ICIC) Based on OFDMA Mobile Systems

Kosta

Hunt

Quddus

et al. 2013

IEEE Commun. Surv. Tutorials

152

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Abstract-The widely accepted OFDMA air interface technology has recently been adopted in most mobile standards by the wireless industry. However, similar to other frequencytime multiplexed systems, their performance is limited by intercell interference. To address this performance degradation, interference mitigation can be employed to maximize the potential capacity of such interference-limited systems. This paper surveys key issues in mitigating interference and gives an overview of the recent developments of a promising mitigation technique, namely, interference avoidance through inter-cell interference coordination (ICIC). By using optimization theory, an ICIC problem is formulated in a multi-cell OFDMA-based system and some research directions in simplifying the problem and associated challenges are given. Furthermore, we present the main trends of interference avoidance techniques that can be incorporated in the main ICIC formulation. Although this paper focuses on 3GPP LTE/LTE-A mobile networks in the downlink, a similar framework can be applied for any typical multi-cellular environment based on OFDMA technology. Some promising future directions are identified and, finally, the state-of-the-art interference avoidance techniques are compared under LTEsystem parameters.Index Terms-ICIC, Inter-cell resource allocation, Selective interference avoidance, Selective frequency/power reuse.

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“…The following optimization problem is formulated to determine the optimal power allocation. Mathematically, the optimization problem considered in this paper is formulated as [7] Subject to following constraints where, B is the total available bandwidth, P k, n is the power allocated for user k in the subchannel n , ρ k, n is either 1 or 0, indicating whether subchannel n is used by user k or not. The capacity for user k, denoted as R k , is defined as…”

Section: Resource Allocation Algorithms For Ofdma Systemsmentioning

confidence: 99%

Adaptive Subcarrier and Bit Allocation for Downlink OFDMA System with Proportional Fairness

Lande¹,

Helonde²,

Pande³

et al. 2011

IJWMN

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Proportional fair scheduling algorithm in OFDMA-based wireless systems with QoS constraints

Cited by 66 publications

References 15 publications

From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation

From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation

On Interference Avoidance Through Inter-Cell Interference Coordination (ICIC) Based on OFDMA Mobile Systems

Adaptive Subcarrier and Bit Allocation for Downlink OFDMA System with Proportional Fairness

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