QoS-Based Proportional Fair Allocation Algorithm for OFDMA Wireless Cellular Systems

Fraimis, Ioannis G.; Kotsopoulos, Stavros

doi:10.1109/lcomm.2011.081211.111417

Cited by 23 publications

(15 citation statements)

References 5 publications

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“…1) Proportional Fairness scheduling (PFS) in [34]. The objective of PFS is to realize the proportional fairness among users, while the PFS in [34] also considers users' rate requirements to be satisfied.…”

Section: B Simulation Results In a Lte-based Mimo-ofdma Systemmentioning

confidence: 99%

Energy-Efficient Resource Allocation in LTE-Based MIMO-OFDMA Systems With User Rate Constraints

Xiao

Tao

2015

IEEE Trans. Veh. Technol.

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In recent years, the enormous energy consumption of wireless communication systems has aroused universal concerns throughout the world. Hence, energy efficiency has become one of the central topics in today's wireless communication industry. In this paper, we study the energy-efficient resource allocation for Long Term Evolution (LTE) cellular mobile systems. To be applicable in LTE systems, both MIMO-OFDMA radio access network and resource blocks (RBs) for subchannel assignment are considered in this work, functioning as two distinguishing characteristics for LTE resource allocation. In particular, an optimization problem concerning joint RB assignment and power allocation is formulated to maximize the energy efficiency measured by "bits-per-Joule" metric, under peruser quality-of-service (QoS) requirements in the form of user rate constraints. We first show that this energy-efficient resource allocation problem can be converted into a more tractable equivalent problem by which the fractional objective of energy efficiency is well settled. With the Lagrange dual method then, we decouple the RB assignment and power allocation on different subchannels using dual decomposition, which greatly simplifies the combinatorial RB assignment, and address the equivalent problem effectively via solving a series of dual optimization problems. Moreover, a computationally efficient but near-optimal algorithm is proposed to perform QoS-aware energy-efficient resource allocation in practice. Simulation results show that our proposed algorithm may not only improve energy efficiency significantly but also fully satisfy users' rate requirements. Besides, with MIMO-OFDMA and RB assignment being considered, the proposed algorithm may be more applicable in LTE systems than most existing schemes on energy-efficient resource allocation.

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Section: B Simulation Results In a Lte-based Mimo-ofdma Systemmentioning

confidence: 99%

Energy-Efficient Resource Allocation in LTE-Based MIMO-OFDMA Systems With User Rate Constraints

Xiao

Tao

2015

IEEE Trans. Veh. Technol.

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“…Many literature [8] [9] have pointed out that packet scheduler in MAC layer determine how resources were allocated, so it was the key to system performances such as throughput, delay, loss rate and fairness. based on [10] scheduling algorithm, we will explore how to get a optimal QoS parameter set according to service characteristic and traffic mix, which can make the system work perfectly, that is to say, spectral efficiency is maximized and the ratio of satisfied users is above the threshold.…”

Section: Problem Descriptionmentioning

confidence: 99%

MPSO Algorithm Based QoS Parameter Optimization for LTE Networks

Zhao¹,

Chen²

2017

IJCNS

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QoS Optimization is an important part of LTE SON, but not yet defined in the specification. We discuss modeling the problem of QoS optimization, improve the fitness function, then provide an algorithm based on MPSO to search the optimal QoS parameter value set for LTE networks. Simulation results show that the algorithm converges more quickly and more accurately than the GA which can be applied in LTE SON.

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“…In [12] a variation of PF algorithm is described whereby the first phase achieves minimum data rate for users and the second phase applies PF algorithm. In addition, PF algorithm is considered [13] to achieve a tradeoff between throughput and fairness, i.e.…”

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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QoS-Based Proportional Fair Allocation Algorithm for OFDMA Wireless Cellular Systems

Cited by 23 publications

References 5 publications

Energy-Efficient Resource Allocation in LTE-Based MIMO-OFDMA Systems With User Rate Constraints

Energy-Efficient Resource Allocation in LTE-Based MIMO-OFDMA Systems With User Rate Constraints

MPSO Algorithm Based QoS Parameter Optimization for LTE Networks

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

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