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QoS-oriented mode, spectrum, and power allocation for D2D communication underlaying LTE-A network

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posted on 2024-10-14, 08:40 authored by Alia AsheralievaAlia Asheralieva, Yoshikazu Miyanaga
This paper investigates the problem of resource allocation for device-to-device (D2D) communication in a Third-Generation Partnership Project (3GPP) Long-Term Evolution Advanced (LTE-A) network. The users in the network can operate either in a traditional cellular mode, communicating with each other via the evolved NodeB (eNB), or in a D2D mode, communicating with each other without traversing the eNB. In the considered model, the D2D users and cellular users share the same radio resources. Particularly, each resource block (RB) within the available bandwidth can be occupied by one cellular and several D2D users. Hence, the problem of interference management is crucial for effective performance of such a network. The twofold aim of the proposed algorithm is to 1) mitigate the interference between cellular and D2D users and 2) improve the overall user-perceived quality of service (QoS). To control the interference, for each user, we define a certain target interference level and constrain the interference from the other users to stay below this level. The corresponding optimization problem maximizes the QoS of the users by minimizing the size of the buffers of user equipments (UEs). The performance of the algorithm has been evaluated by using the OPNET-based simulations. The algorithm shows improved performance in terms of mean packet end-to-end delay and loss for UEs when compared to other relevant schemes.

History

School

  • Science

Department

  • Computer Science

Published in

IEEE Transactions on Vehicular Technology

Volume

65

Issue

12

Pages

9787 - 9800

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2016-02-15

Publication date

2016-02-18

Copyright date

2016

ISSN

0018-9545

eISSN

1939-9359

Language

  • en

Depositor

Dr Alia Asheralieva. Deposit date: 29 May 2024

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