Joint Resource Allocation with Interference Constraint for Cognitive Multi-Hop Wireless Networks

Shuta KAKO; Osamu TAKYU; Takeo FUJII

doi:10.1587/transfun.E98.A.569

Joint Resource Allocation with Interference Constraint for Cognitive Multi-Hop Wireless Networks

Shuta KAKO, Osamu TAKYU, Takeo FUJII

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In this paper, we propose a secondary user (SU) resource assignment algorithm for a multi-hop (MH) cognitive radio network to improve the end-to-end throughput. In the MH networks used for spectrum sharing, each SU needs to improve the throughput by taking the primary user (PU) protection into account. For overcoming this problem, we estimate the PU acceptable received power, which is determined by the acknowledgment packet (ACK) power from the PU receiver at each SU. With this estimation, we propose an SU optimal transmit power control algorithm to not only maximize the end-to-end throughput of the SU MH flow but also maintain the considered PU acceptable interference power. In this study, a distributed joint allocation algorithm has been used to solve the optimization problem and to effectively allocate the power of each SU.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.2 pp.569-577

Publication Date: 2015/02/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E98.A.569

Type of Manuscript: Special Section PAPER (Special Section on Wideband Systems)

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Authors

Shuta KAKO
  The University of Electro-Communications
Osamu TAKYU
  Shinshu University
Takeo FUJII
  The University of Electro-Communications

Keyword

cognitive radio, multi-hop network, resource allocation, joint allocation

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Shuta KAKO, Osamu TAKYU, Takeo FUJII, "Joint Resource Allocation with Interference Constraint for Cognitive Multi-Hop Wireless Networks" in IEICE TRANSACTIONS on Fundamentals, vol. E98-A, no. 2, pp. 569-577, February 2015, doi: 10.1587/transfun.E98.A.569.
Abstract: In this paper, we propose a secondary user (SU) resource assignment algorithm for a multi-hop (MH) cognitive radio network to improve the end-to-end throughput. In the MH networks used for spectrum sharing, each SU needs to improve the throughput by taking the primary user (PU) protection into account. For overcoming this problem, we estimate the PU acceptable received power, which is determined by the acknowledgment packet (ACK) power from the PU receiver at each SU. With this estimation, we propose an SU optimal transmit power control algorithm to not only maximize the end-to-end throughput of the SU MH flow but also maintain the considered PU acceptable interference power. In this study, a distributed joint allocation algorithm has been used to solve the optimization problem and to effectively allocate the power of each SU.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.569/_p

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@ARTICLE{e98-a_2_569,
author={Shuta KAKO, Osamu TAKYU, Takeo FUJII, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Joint Resource Allocation with Interference Constraint for Cognitive Multi-Hop Wireless Networks},
year={2015},
volume={E98-A},
number={2},
pages={569-577},
abstract={In this paper, we propose a secondary user (SU) resource assignment algorithm for a multi-hop (MH) cognitive radio network to improve the end-to-end throughput. In the MH networks used for spectrum sharing, each SU needs to improve the throughput by taking the primary user (PU) protection into account. For overcoming this problem, we estimate the PU acceptable received power, which is determined by the acknowledgment packet (ACK) power from the PU receiver at each SU. With this estimation, we propose an SU optimal transmit power control algorithm to not only maximize the end-to-end throughput of the SU MH flow but also maintain the considered PU acceptable interference power. In this study, a distributed joint allocation algorithm has been used to solve the optimization problem and to effectively allocate the power of each SU.},
keywords={},
doi={10.1587/transfun.E98.A.569},
ISSN={1745-1337},
month={February},}

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TY - JOUR
TI - Joint Resource Allocation with Interference Constraint for Cognitive Multi-Hop Wireless Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 569
EP - 577
AU - Shuta KAKO
AU - Osamu TAKYU
AU - Takeo FUJII
PY - 2015
DO - 10.1587/transfun.E98.A.569
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2015
AB - In this paper, we propose a secondary user (SU) resource assignment algorithm for a multi-hop (MH) cognitive radio network to improve the end-to-end throughput. In the MH networks used for spectrum sharing, each SU needs to improve the throughput by taking the primary user (PU) protection into account. For overcoming this problem, we estimate the PU acceptable received power, which is determined by the acknowledgment packet (ACK) power from the PU receiver at each SU. With this estimation, we propose an SU optimal transmit power control algorithm to not only maximize the end-to-end throughput of the SU MH flow but also maintain the considered PU acceptable interference power. In this study, a distributed joint allocation algorithm has been used to solve the optimization problem and to effectively allocate the power of each SU.
ER -