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Adaptive Resource Allocation Algorithms for Multi-user MIMO-OFDM Systems

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An Erratum to this article was published on 07 October 2014

Abstract

Radio resource allocation to the system users is the key challenge issue in multi-user orthogonal frequency division multiplexing (MU-OFDM) systems. In this paper, an efficient and low-complexity proportional rate-adaptive radio resource (sub-carrier and power) allocation algorithm for MU-OFDM is proposed to maximize the sum-rate capacity of the system and achieve acceptable users’ rates fairness. Three-dimensional (spatial, frequency, and multi-user) greedy power allocation (GPA) algorithms for the MU multi-input multi-output OFDM (MU MIMO-OFDM) systems are proposed. The proposed algorithms start with spatial sub-carrier allocation followed by an optimal two-dimensional spatial-frequency GPA (SFGPA) step, which exploits both the spatial and frequency diversities. Therefore, spatial, frequency, and multi-user diversities are exploited by the proposed three-dimensional GPA algorithms. Several experiments are carried out to test the performance of the proposed three-dimensional GPA algorithms in terms of sum-rate capacity. The optimal solution is achieved by the three-dimensional dynamic sub-carrier-SFGPA with average gain (DS-SFGPA-AG) algorithm, which achieves the best sum-rate capacity performance compared with the other power allocation algorithms. The performance of the DS-SFGPA-AG algorithm is also analyzed and compared for the four OFDM-based systems; single-user (SU) OFDM, SU MIMO-OFDM, MU OFDM, and MU MIMO-OFDM. The MU MIMO-OFDM system with adaptive sub-carrier and power allocation outperforms the other systems.

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Authors and Affiliations

  1. Department of Electronics Engineering, Faculty of Engineering, and Architecture, Ibb University, Ibb, Yemen

    Najib A. Odhah

  2. Faculty of Electronic Engineering, Menoufia University, Menouf , 32952, Egypt

    Emad S. Hassan, Mohamad Abdelnaby, Waleed E. Al-Hanafy, Moawad I. Dessouky & Fathi E. Abd El-Samie

  3. Department of Electrical Engineering, Jazan University, Jazan, Saudi Arabia

    Emad S. Hassan

  4. Department of Electrical Engineering, Faculty of Engineering, Albaha University, Al Bahah, Saudi Arabia

    Waleed E. Al-Hanafy

  5. Electrical Engineering Department, KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh, Saudi Arabia

    Saleh A. Alshebeili

  6. KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh, Saudi Arabia

    Fathi E. Abd El-Samie

Authors
  1. Najib A. Odhah
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  2. Emad S. Hassan
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  3. Mohamad Abdelnaby
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  4. Waleed E. Al-Hanafy
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  5. Moawad I. Dessouky
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  6. Saleh A. Alshebeili
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  7. Fathi E. Abd El-Samie
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Corresponding author

Correspondence to Fathi E. Abd El-Samie.

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Odhah, N.A., Hassan, E.S., Abdelnaby, M. et al. Adaptive Resource Allocation Algorithms for Multi-user MIMO-OFDM Systems. Wireless Pers Commun 80, 51–69 (2015). https://doi.org/10.1007/s11277-014-1994-6

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  • DOI: https://doi.org/10.1007/s11277-014-1994-6

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