Adaptive subcarrier allocation schemes for wireless ofdma systems in wimax networks

Biagioni, Alessio; Fantacci, R.; Marabissi, Dania; Tarchi, Daniele

doi:10.1109/jsac.2009.090212

Cited by 56 publications

(36 citation statements)

References 15 publications

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“…The subchannel allocation algorithm is suboptimal because equal power distribution in all subchannels is assumed. To assign power over all the subchannels, the rootfinding method first determines the total power for each user and then breaks it down to the individual subchannels [8,9]. The total power of every user is calculated by using the equation…”

Section: Root-finding Methods Of Subcarrier and Power Allocationmentioning

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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Section: Root-finding Methods Of Subcarrier and Power Allocationmentioning

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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“…The general idea is to achieve the highest possible data throughput while keeping proportional resource allocation among users. In [5] the authors give advantage to fair allocation with additional conditions that prevent excess reduction of bandwidth efficiency. The authors suggest proportional fairness algorithm.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation Algorithm with Dynamic Subcarrier Assignment in OFDMA-based Wireless Networks

2014

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Original scientific paperThe allocation of available resources is one of the main issues in multi-user systems. Dependence of system capacity on radio link quality is an additional obstacle of efficient resource allocation in wireless networks. Combinations of two opposite approaches -fair resource allocation and system capacity maximization are used to solve this problem in practice.This paper proposes a resource allocation method that is primarily based on assigning almost an equal bandwidth to all users. System capacity maximization is achieved by selecting the subcarriers with the best SNR values. This algorithm was developed for orthogonal frequency division multiple access (OFDMA) wireless systems. Resource allocation is done at the subcarrier level according to the weight factor that had been calculated for each user. Frequency hopping was used to increase frequency diversity and to make the system more robust to disturbance. Frequency hopping pattern is determined dynamically on the basis of SNR value of each subcarrier.The results of the proposed algorithm are compared with the water filling (WF) and proportional fairness (PF) methods. The influence of various data traffic classes on system throughput and resource allocation is also described.Key words: OFDMA, QoS, Resource allocation, Subcarrier scheduling Algoritam alokacije resursa s dinamičkim pridruživanjem podnosioca u bežičnim mrežama zasnovanim na OFDMA-u. U sustavima s više korisnika jedno od glavnih pitanja je kako podijeliti raspoložive resurse. Kod radio mreža dodatni otežavajući faktor predstavlja promjenjivost kapaciteta sustava ovisno o kvaliteti radio veze. U praksi se za raspodjelu resursa obično koriste algoritmi koji su kombinacija dvaju oprečnih pristupa, fer raspodjele resursa i maksimizacije kapaciteta sustava.U ovom radu predložena je metoda primarno bazirana na fer raspodjeli resursa. Maksimizacija kapaciteta sustava ostvarena je odabirom podnosilaca s najboljim mogućim SNR-om. Algoritam je razvijen za sustave bazirane na OFDMA. Dodjela resursa korisnicima vrši se na razini pojedinog podnosioca prema izračunatom težinskom faktoru za svakog korisnika posebno. Kako bi se povećao frekvencijski diverziti i sustav učinio otpornijim na smetnje, uvedeno je frekvencijsko skakanje prema dinamički odreenom predlošku. Predložak se formira na osnovu SNR vrijednosti odreene po svakom podnosiocu.Rezultati predloženog algoritma usporeeni su s WF (water filling) i PF (proportional fairness) algoritmima. Prikazan je utjecaj različitih klasa prometa na prijenosni kapacitet i raspodjelu resursa sustava.

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“…The game-theoretic framework proposed in [6], [7] outperforms other approaches, such as that presented in [8], that aims at maximizing the overall system rate based on a min-max criterion. A common problem of the algorithms available in the literature (e.g., [6]- [9]), is their high complexity. In fact, although the proposed solutions achieve good performance, they cannot satisfy the requirements of modern cellular network, with thousands of subcarriers and hundreds of users.…”

Section: Introductionmentioning

confidence: 99%

A coalitional game-inspired algorithm for resource allocation in orthogonal frequency division multiple access

Shams

Bacci

Luise

2010

2010 European Wireless Conference (EW)

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This work investigates the problem of resource allocation (in terms of transmit powers and subchannel assignment) in the uplink channel of an orthogonal frequency division multiple access (OFDMA) network, populated by mobile users with constraints in terms of target transmit data rates. The optimization problem is tackled with the analytical tools of coalitional game theory, and a simple and practical algorithm based on Markov modeling is introduced. The proposed algorithm allows the mobile devices to fulfill their data rate demands with minimum utilization of the network resources. Simulation results are provided to validate the theoretical analysis for practical OFDMA network parameters.

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Adaptive subcarrier allocation schemes for wireless ofdma systems in wimax networks

Cited by 56 publications

References 15 publications

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

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

Resource Allocation Algorithm with Dynamic Subcarrier Assignment in OFDMA-based Wireless Networks

A coalitional game-inspired algorithm for resource allocation in orthogonal frequency division multiple access

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