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Optimal Resource Allocation in Heterogeneous MIMO Cognitive Radio Networks

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Abstract

The optimal resource allocation in MIMO cognitive radio networks with heterogeneous secondary users, centralized and distributed users, is investigated in this work. The core aim of this work is to study the joint problems of transmission time and power allocation in a MIMO cognitive radio scenario. The optimization objective is to maximize the total capacity of the secondary users (SUs) with the constraint of fairness. At first, the joint problems of transmission time and power allocation for centralized SUs in uplink is optimized. Afterwards, for the heterogeneous case with both the centralized and distributed secondary users, the resource allocation problem is formulated and an iterative power water-filling scheme is proposed to achieve the optimal resource allocation for both kinds of SUs. A dynamic optimal joint transmission time and power allocation scheme for heterogeneous cognitive radio networks is proposed. The simulation results illustrate the performance of the proposed scheme and its superiority over other power control schemes.

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Authors and Affiliations

  1. Electrical Engineering Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    Mehdi Ghamari Adian & Hassan Aghaeinia

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  1. Mehdi Ghamari Adian
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  2. Hassan Aghaeinia
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Correspondence to Mehdi Ghamari Adian.

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Adian, M.G., Aghaeinia, H. Optimal Resource Allocation in Heterogeneous MIMO Cognitive Radio Networks. Wireless Pers Commun 76, 23–39 (2014). https://doi.org/10.1007/s11277-013-1486-0

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  • DOI: https://doi.org/10.1007/s11277-013-1486-0

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