Rate-Interference Tradeoff in OFDM-based Cognitive Radio Networks

Ebrahim Bedeer Mohamed, Octavia A. Dobre, Mohamed Hossam Ahmed, Kareem E. Baddour

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

In cognitive radio (CR) networks, secondary users (SUs) are allowed to opportunistically access the primary users (PUs) spectrum to improve the spectrum utilization; however, this increases the interference levels at the PUs. In this paper, we consider an orthogonal frequency division multiplexing OFDM-based CR network and investigate the tradeoff between increasing the SU transmission rate (hence improving the spectrum utilization) and reducing the interference levels at the PUs. We formulate a new multiobjective optimization (MOOP) problem that jointly maximizes the SU transmission rate and minimizes its transmit power, while imposing interference thresholds to the PUs. Further, we propose an algorithm to strike a balance between the SU transmission rate and the interference levels to the PUs. The proposed algorithm considers the practical scenario of knowing partial channel state information (CSI) of the links between the SU transmitter and the PUs receivers. Simulation results illustrate the performance of the proposed algorithm and its superiority when compared to the work in the literature.

Fingerprint

Cognitive radio
Orthogonal frequency division multiplexing
Channel state information
Multiobjective optimization
Telecommunication links
Transmitters

Keywords

  • Cognitive Radio Networks
  • joint rate and power adaptation
  • multiobjective optimization (MOOP)
  • OFDM systems

Cite this

Mohamed, Ebrahim Bedeer ; Dobre, Octavia A. ; Ahmed, Mohamed Hossam ; Baddour, Kareem E. / Rate-Interference Tradeoff in OFDM-based Cognitive Radio Networks. In: IEEE Global Communications Conference. 2015.
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title = "Rate-Interference Tradeoff in OFDM-based Cognitive Radio Networks",
abstract = "In cognitive radio (CR) networks, secondary users (SUs) are allowed to opportunistically access the primary users (PUs) spectrum to improve the spectrum utilization; however, this increases the interference levels at the PUs. In this paper, we consider an orthogonal frequency division multiplexing OFDM-based CR network and investigate the tradeoff between increasing the SU transmission rate (hence improving the spectrum utilization) and reducing the interference levels at the PUs. We formulate a new multiobjective optimization (MOOP) problem that jointly maximizes the SU transmission rate and minimizes its transmit power, while imposing interference thresholds to the PUs. Further, we propose an algorithm to strike a balance between the SU transmission rate and the interference levels to the PUs. The proposed algorithm considers the practical scenario of knowing partial channel state information (CSI) of the links between the SU transmitter and the PUs receivers. Simulation results illustrate the performance of the proposed algorithm and its superiority when compared to the work in the literature.",
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Rate-Interference Tradeoff in OFDM-based Cognitive Radio Networks. / Mohamed, Ebrahim Bedeer; Dobre, Octavia A.; Ahmed, Mohamed Hossam; Baddour, Kareem E.

In: IEEE Global Communications Conference, 12.02.2015.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Rate-Interference Tradeoff in OFDM-based Cognitive Radio Networks

AU - Mohamed, Ebrahim Bedeer

AU - Dobre, Octavia A.

AU - Ahmed, Mohamed Hossam

AU - Baddour, Kareem E.

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N2 - In cognitive radio (CR) networks, secondary users (SUs) are allowed to opportunistically access the primary users (PUs) spectrum to improve the spectrum utilization; however, this increases the interference levels at the PUs. In this paper, we consider an orthogonal frequency division multiplexing OFDM-based CR network and investigate the tradeoff between increasing the SU transmission rate (hence improving the spectrum utilization) and reducing the interference levels at the PUs. We formulate a new multiobjective optimization (MOOP) problem that jointly maximizes the SU transmission rate and minimizes its transmit power, while imposing interference thresholds to the PUs. Further, we propose an algorithm to strike a balance between the SU transmission rate and the interference levels to the PUs. The proposed algorithm considers the practical scenario of knowing partial channel state information (CSI) of the links between the SU transmitter and the PUs receivers. Simulation results illustrate the performance of the proposed algorithm and its superiority when compared to the work in the literature.

AB - In cognitive radio (CR) networks, secondary users (SUs) are allowed to opportunistically access the primary users (PUs) spectrum to improve the spectrum utilization; however, this increases the interference levels at the PUs. In this paper, we consider an orthogonal frequency division multiplexing OFDM-based CR network and investigate the tradeoff between increasing the SU transmission rate (hence improving the spectrum utilization) and reducing the interference levels at the PUs. We formulate a new multiobjective optimization (MOOP) problem that jointly maximizes the SU transmission rate and minimizes its transmit power, while imposing interference thresholds to the PUs. Further, we propose an algorithm to strike a balance between the SU transmission rate and the interference levels to the PUs. The proposed algorithm considers the practical scenario of knowing partial channel state information (CSI) of the links between the SU transmitter and the PUs receivers. Simulation results illustrate the performance of the proposed algorithm and its superiority when compared to the work in the literature.

KW - Cognitive Radio Networks

KW - joint rate and power adaptation

KW - multiobjective optimization (MOOP)

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SN - 1930-529X

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