A Novel Algorithm for Rate/Power Allocation in OFDM-based Cognitive Radio Systems with Statistical Interference Constraints

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

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

In this paper, we adopt a multiobjective optimization approach to jointly optimize the rate and power in OFDM-based cognitive radio (CR) systems. We propose a novel algorithm that jointly maximizes the OFDM-based CR system throughput and minimizes its transmit power, while guaranteeing a target bit error rate per subcarrier and a total transmit power threshold for the secondary user (SU), and restricting both co-channel and adjacent channel interferences to existing primary users (PUs) in a statistical manner. Since the interference constraints are met statistically, the SU transmitter does not require perfect channel-state-information (CSI) feedback from the PUs receivers. Closed-form expressions are derived for bit and power allocations per subcarrier. Simulation results illustrate the performance of the proposed algorithm and compare it to the case of perfect CSI. Further, the results show that the performance of the proposed algorithm approaches that of an exhaustive search for the discrete global optimal allocations with significantly reduced computational complexity.

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Radio interference
Radio systems
Cognitive radio
Orthogonal frequency division multiplexing
Channel state information
Multiobjective optimization
Bit error rate
Transmitters
Computational complexity
Throughput
Feedback

Keywords

  • Throughput
  • Receivers
  • Bit error rate
  • OFDM
  • Optimization
  • Resource management
  • Interference constraints

Cite this

@article{1c0d6a57b3e84cb989d17293a905c5c7,
title = "A Novel Algorithm for Rate/Power Allocation in OFDM-based Cognitive Radio Systems with Statistical Interference Constraints",
abstract = "In this paper, we adopt a multiobjective optimization approach to jointly optimize the rate and power in OFDM-based cognitive radio (CR) systems. We propose a novel algorithm that jointly maximizes the OFDM-based CR system throughput and minimizes its transmit power, while guaranteeing a target bit error rate per subcarrier and a total transmit power threshold for the secondary user (SU), and restricting both co-channel and adjacent channel interferences to existing primary users (PUs) in a statistical manner. Since the interference constraints are met statistically, the SU transmitter does not require perfect channel-state-information (CSI) feedback from the PUs receivers. Closed-form expressions are derived for bit and power allocations per subcarrier. Simulation results illustrate the performance of the proposed algorithm and compare it to the case of perfect CSI. Further, the results show that the performance of the proposed algorithm approaches that of an exhaustive search for the discrete global optimal allocations with significantly reduced computational complexity.",
keywords = "Throughput, Receivers, Bit error rate, OFDM, Optimization, Resource management, Interference constraints",
author = "Mohamed, {Ebrahim Bedeer} and Dobre, {Octavia A.} and Ahmed, {Mohamed Hossam} and Baddour, {Kareem E.}",
year = "2014",
month = "6",
day = "12",
doi = "10.1109/GLOCOM.2013.6831616",
language = "English",
journal = "IEEE Global Communications Conference",
issn = "1930-529X",

}

A Novel Algorithm for Rate/Power Allocation in OFDM-based Cognitive Radio Systems with Statistical Interference Constraints. / Mohamed, Ebrahim Bedeer; Dobre, Octavia A.; Ahmed, Mohamed Hossam; Baddour, Kareem E.

In: IEEE Global Communications Conference, 12.06.2014.

Research output: Contribution to journalConference article

TY - JOUR

T1 - A Novel Algorithm for Rate/Power Allocation in OFDM-based Cognitive Radio Systems with Statistical Interference Constraints

AU - Mohamed, Ebrahim Bedeer

AU - Dobre, Octavia A.

AU - Ahmed, Mohamed Hossam

AU - Baddour, Kareem E.

PY - 2014/6/12

Y1 - 2014/6/12

N2 - In this paper, we adopt a multiobjective optimization approach to jointly optimize the rate and power in OFDM-based cognitive radio (CR) systems. We propose a novel algorithm that jointly maximizes the OFDM-based CR system throughput and minimizes its transmit power, while guaranteeing a target bit error rate per subcarrier and a total transmit power threshold for the secondary user (SU), and restricting both co-channel and adjacent channel interferences to existing primary users (PUs) in a statistical manner. Since the interference constraints are met statistically, the SU transmitter does not require perfect channel-state-information (CSI) feedback from the PUs receivers. Closed-form expressions are derived for bit and power allocations per subcarrier. Simulation results illustrate the performance of the proposed algorithm and compare it to the case of perfect CSI. Further, the results show that the performance of the proposed algorithm approaches that of an exhaustive search for the discrete global optimal allocations with significantly reduced computational complexity.

AB - In this paper, we adopt a multiobjective optimization approach to jointly optimize the rate and power in OFDM-based cognitive radio (CR) systems. We propose a novel algorithm that jointly maximizes the OFDM-based CR system throughput and minimizes its transmit power, while guaranteeing a target bit error rate per subcarrier and a total transmit power threshold for the secondary user (SU), and restricting both co-channel and adjacent channel interferences to existing primary users (PUs) in a statistical manner. Since the interference constraints are met statistically, the SU transmitter does not require perfect channel-state-information (CSI) feedback from the PUs receivers. Closed-form expressions are derived for bit and power allocations per subcarrier. Simulation results illustrate the performance of the proposed algorithm and compare it to the case of perfect CSI. Further, the results show that the performance of the proposed algorithm approaches that of an exhaustive search for the discrete global optimal allocations with significantly reduced computational complexity.

KW - Throughput

KW - Receivers

KW - Bit error rate

KW - OFDM

KW - Optimization

KW - Resource management

KW - Interference constraints

U2 - 10.1109/GLOCOM.2013.6831616

DO - 10.1109/GLOCOM.2013.6831616

M3 - Conference article

JO - IEEE Global Communications Conference

T2 - IEEE Global Communications Conference

JF - IEEE Global Communications Conference

SN - 1930-529X

ER -