Channel and Queue Aware Joint Relay Selection and Resource Allocation for Miso-Ofdma Based User-Relay Assisted Cellular Networks

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Özbek, Berna

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BRONZE

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Yes

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Abstract

User-relay assisted orthogonal frequency division multiple access (OFDMA) networks are cost-effective solutions to meet the growing capacity and coverage demands of the next generation cellular networks. These networks can be used with multiple antennas technology in order to obtain a diversity gain to combat signal fading and to obtain more capacity gain without increasing the bandwidth or transmit power. Efficient relay selection and resource allocation are crucial in such a multi-user, multi-relay and multi-antenna environment to fully exploit the benefits of the combination of user-relaying and multiple antennas technology. Thus, we propose a channel and queue aware joint relay selection and resource allocation algorithm for multiple-input single-output (MISO)-OFDMA based user-relay assisted downlink cellular networks. Since, the proposed algorithm is not only channel but also queue-aware, the system resources are allocated efficiently among the users. The proposed algorithm for the MISO-OFDMA based user-relay assisted scheme is compared to existing MISO-OFDMA based non-relaying and fixed relay assisted schemes and it is also compared with the existing single-input single-output (SISO)-OFDMA based user-relay assisted scheme. Simulation results revealed that the proposed scheme outperforms the existing schemes in terms of cell-edge users’ total data rate, average backlog and average delay.

Description

Keywords

MISO-OFDMA, Relay selection, Resource allocation, User relaying, User relaying, Relay selection, Resource allocation, MISO-OFDMA

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Baştürk, İ. and Özbek, B. (2018). Channel and queue aware joint relay selection and resource allocation for MISO-OFDMA based user-relay assisted cellular networks. Telecommunication Systems, 67(4), 619-633. doi:10.1007/s11235-017-0363-7

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3

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67

Issue

4

Start Page

619

End Page

633
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974

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628

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