Resource Allocation Algorithms in OFDMA

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    Resource Allocation Algorithms in

    OFDMA

    Wafa BEN HASSEN

    Equity optimization problems

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    Agenda

    Introduction

    Max- Min fairness

    Proportional fairness

    Hard fairness

    Conclusion

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    Introduction

    ` In order to perform the resource allocation, fairnessparameter is an advisable criteria to enforce a fairerbehavior of the OFDMA system.

    ` Fairness parameter reduces the monopolization of resources by set of users that experience good channelgain. Hence, users with low channel gain may not receivedata due to lack of resources.

    ` Several different optimization criteria are presented toenforce a fairer behavior of the system such as, max-min,proportional and hard fairness problem.

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    Fairness Algorithm

    Max- Min fairness : maximizing the minimum data rate among user

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    Problem formulation:

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    Max- Min fairness

    Wonjong Rhee & John M. Cioffi.Increase in capacity of multiuser OFDM system using dynamic subchannel allocation. (2000)

    2- Assign to each user each bestchannel gain

    - If there are subcarriers not

    yet assigned to users. The user k

    ith the first lo est rate receivesits best subcarrier from the

    remaining subcarriers

    1- Initizialisation

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    Max-Min fairnessRomano Fantacci DaniaMarabissi, Daniele archi and Alessandro Biagioni.

    Adaptive subcarrier allocation algorithms in wireless ofdma systems (2008)

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    Maximize the minimum value among all users:

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    Max-Min fairness

    1- Initizialisation

    2-assign to each user a

    slot within the frequenciesin which the user has thebest channel conditions.

    3- the user with the lowest

    amount of capacity is selectedand a slot is allocated to him.

    he selection of the user with

    the lowest capacity allows to

    obtain an approximately equal

    distribution of capacity

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    Drawbacks:

    In the case of multiple users with a multi-services

    requirements ( specially in the 4G).

    he users with the best channel conditions obtain a

    lower number of resources with respect to the users with

    the worst channel conditions, who need a lot of slots to

    achieve the same amount of capacity, so, the channel

    capacity is not fully exploited.

    Max-Min fairness

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    Fairness Algorithm

    Proportional fairness :

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    Proportional fairness

    Z. Shen I. C.Wong, B. L. Evans, and J. G. Andrews.A low complexity algorithm for proportional resource allocation in ofdma systems (2004)

    Step 2 : Assign the subcarriers to each user in a way that ensures rough proportionality

    Step 3 : Assign the total power for user k to maximize the capacity while enforcing the

    proportionality.

    Step 4: Assign the powers for each user's subcarriers subject to his total power

    constraint using the waterfilling algorithm

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    Proportional fairness

    Step 2 :

    2- Assign to each user each best

    channel gain

    1- Initizialisation

    Assign the subcarriers to each user in a way that ensures rough proportionality

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    Proportional fairness

    4- Assign the remaining subcarriersto the best users for them, wherein

    each user can get at most oneunassigned subcarrier. his is to

    prevent the user with the best

    gains to get the rest of the

    subcarriers

    Step 2 : Assign the subcarriers to each user in a way that ensures rough proportionality

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    Proportional fairness

    the slot allocation for which the capacity values assigned to the users are proportional tothe maximum capacity values:

    Romano Fantacci DaniaMarabissi, Daniele archi and Alessandro Biagioni.Adaptive subcarrier allocation algorithms in wireless ofdma systems(2008)

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    Proportional fairness

    1- Initizialisation

    2-assign to each user a

    slot within the frequenciesin which the user has thebest channel conditions.

    3- the selected user is the one

    who has the minimum ratiobetween the temporary valueof capacity and the value of

    the maximum obtainable

    capacity.

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    Fairness Algorithm

    Hard fairness :

    his formulation corresponds to the minimum sum power problem.Each user transmits at his own desired rate careless to the actual channel realization.

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    Conclusion

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    he (4G) is characterized by:Multiuser diversity

    Multiservice

    Fast channel variation

    Capability to support mobility

    Proportional fairness seems to be the most powerful

    criterion to enforce the equity among users in the case of

    4G.