Resource Allocation for MDC Multicast in CRNs with Imperfect Spectrum Sensing and Channel Feedback

Shengyu LI; Wenjun XU; Zhihui LIU; Kai NIU; Jiaru LIN

doi:10.1587/transcom.E98.B.335

Resource Allocation for MDC Multicast in CRNs with Imperfect Spectrum Sensing and Channel Feedback

Shengyu LI, Wenjun XU, Zhihui LIU, Kai NIU, Jiaru LIN

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In this paper, resource-efficient multiple description coding (MDC) multicast is investigated in cognitive radio networks with the consideration of imperfect spectrum sensing and imperfect channel feedback. Our objective is to maximize the system goodput, which is defined as the total successfully received data rate of all multicast users, while guaranteeing the maximum transmit power budget and the maximum average received interference constraint. Owing to the uncertainty of the spectrum state and the non-closed-form expression of the objective function, it is difficult to solve the problem directly. To circumvent this problem, a pretreatment is performed, in which we first estimate the real spectrum state of primary users and then propose a Gaussian approximation for the probability density functions of transmission channel gains to simplify the computation of the objective function. Thereafter, a two-stage resource allocation algorithm is presented to accomplish the subcarrier assignment, the optimal transmit channel gain to interference plus noise ratio (T-CINR) setting, and the transmit power allocation separately. Simulation results show that the proposed scheme is able to offset more than 80% of the performance loss caused by imperfect channel feedback when the feedback error is not high, while keeping the average interference on primary users below the prescribed threshold.

Publication: IEICE TRANSACTIONS on Communications Vol.E98-B No.2 pp.335-343

Publication Date: 2015/02/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E98.B.335

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

Authors

Shengyu LI
  Beijing University of Posts and Telecommunications
Wenjun XU
  Beijing University of Posts and Telecommunications
Zhihui LIU
  Beijing University of Posts and Telecommunications
Kai NIU
  Beijing University of Posts and Telecommunications
Jiaru LIN
  Beijing University of Posts and Telecommunications

Keyword

MDC multicast, cognitive radio, imperfect spectrum sensing, imperfect channel feedback, Gaussian approximation, two-stage resource allocation

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Shengyu LI, Wenjun XU, Zhihui LIU, Kai NIU, Jiaru LIN, "Resource Allocation for MDC Multicast in CRNs with Imperfect Spectrum Sensing and Channel Feedback" in IEICE TRANSACTIONS on Communications, vol. E98-B, no. 2, pp. 335-343, February 2015, doi: 10.1587/transcom.E98.B.335.
Abstract: In this paper, resource-efficient multiple description coding (MDC) multicast is investigated in cognitive radio networks with the consideration of imperfect spectrum sensing and imperfect channel feedback. Our objective is to maximize the system goodput, which is defined as the total successfully received data rate of all multicast users, while guaranteeing the maximum transmit power budget and the maximum average received interference constraint. Owing to the uncertainty of the spectrum state and the non-closed-form expression of the objective function, it is difficult to solve the problem directly. To circumvent this problem, a pretreatment is performed, in which we first estimate the real spectrum state of primary users and then propose a Gaussian approximation for the probability density functions of transmission channel gains to simplify the computation of the objective function. Thereafter, a two-stage resource allocation algorithm is presented to accomplish the subcarrier assignment, the optimal transmit channel gain to interference plus noise ratio (T-CINR) setting, and the transmit power allocation separately. Simulation results show that the proposed scheme is able to offset more than 80% of the performance loss caused by imperfect channel feedback when the feedback error is not high, while keeping the average interference on primary users below the prescribed threshold.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.335/_p

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@ARTICLE{e98-b_2_335,
author={Shengyu LI, Wenjun XU, Zhihui LIU, Kai NIU, Jiaru LIN, },
journal={IEICE TRANSACTIONS on Communications},
title={Resource Allocation for MDC Multicast in CRNs with Imperfect Spectrum Sensing and Channel Feedback},
year={2015},
volume={E98-B},
number={2},
pages={335-343},
abstract={In this paper, resource-efficient multiple description coding (MDC) multicast is investigated in cognitive radio networks with the consideration of imperfect spectrum sensing and imperfect channel feedback. Our objective is to maximize the system goodput, which is defined as the total successfully received data rate of all multicast users, while guaranteeing the maximum transmit power budget and the maximum average received interference constraint. Owing to the uncertainty of the spectrum state and the non-closed-form expression of the objective function, it is difficult to solve the problem directly. To circumvent this problem, a pretreatment is performed, in which we first estimate the real spectrum state of primary users and then propose a Gaussian approximation for the probability density functions of transmission channel gains to simplify the computation of the objective function. Thereafter, a two-stage resource allocation algorithm is presented to accomplish the subcarrier assignment, the optimal transmit channel gain to interference plus noise ratio (T-CINR) setting, and the transmit power allocation separately. Simulation results show that the proposed scheme is able to offset more than 80% of the performance loss caused by imperfect channel feedback when the feedback error is not high, while keeping the average interference on primary users below the prescribed threshold.},
keywords={},
doi={10.1587/transcom.E98.B.335},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Resource Allocation for MDC Multicast in CRNs with Imperfect Spectrum Sensing and Channel Feedback
T2 - IEICE TRANSACTIONS on Communications
SP - 335
EP - 343
AU - Shengyu LI
AU - Wenjun XU
AU - Zhihui LIU
AU - Kai NIU
AU - Jiaru LIN
PY - 2015
DO - 10.1587/transcom.E98.B.335
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2015
AB - In this paper, resource-efficient multiple description coding (MDC) multicast is investigated in cognitive radio networks with the consideration of imperfect spectrum sensing and imperfect channel feedback. Our objective is to maximize the system goodput, which is defined as the total successfully received data rate of all multicast users, while guaranteeing the maximum transmit power budget and the maximum average received interference constraint. Owing to the uncertainty of the spectrum state and the non-closed-form expression of the objective function, it is difficult to solve the problem directly. To circumvent this problem, a pretreatment is performed, in which we first estimate the real spectrum state of primary users and then propose a Gaussian approximation for the probability density functions of transmission channel gains to simplify the computation of the objective function. Thereafter, a two-stage resource allocation algorithm is presented to accomplish the subcarrier assignment, the optimal transmit channel gain to interference plus noise ratio (T-CINR) setting, and the transmit power allocation separately. Simulation results show that the proposed scheme is able to offset more than 80% of the performance loss caused by imperfect channel feedback when the feedback error is not high, while keeping the average interference on primary users below the prescribed threshold.
ER -