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

doi:10.1109/GLOCOM.2013.6831616

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 journal › Conference article › peer-review

3 Citations (Scopus)

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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.

Original language	English
Journal	IEEE Global Communications Conference
DOIs	https://doi.org/10.1109/GLOCOM.2013.6831616
Publication status	Published (in print/issue) - 12 Jun 2014
Event	2013 IEEE Global Communications Conference (GLOBECOM) - Atlanta, United States Duration: 9 Dec 2014 → 13 Dec 2014

Keywords

Throughput
Receivers
Bit error rate
OFDM
Optimization
Resource management
Interference constraints

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10.1109/GLOCOM.2013.6831616

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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 = jun,

day = "12",

doi = "10.1109/GLOCOM.2013.6831616",

language = "English",

journal = "IEEE Global Communications Conference",

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note = "2013 IEEE Global Communications Conference (GLOBECOM) ; Conference date: 09-12-2014 Through 13-12-2014",

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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

SN - 1930-529X

JO - IEEE Global Communications Conference

JF - IEEE Global Communications Conference

T2 - 2013 IEEE Global Communications Conference (GLOBECOM)

Y2 - 9 December 2014 through 13 December 2014

ER -

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

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Keywords

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