Interference Management and Resource Allocation in Multi-Channel Ad Hoc Cognitive Radio Network

Ke WANG; Wei HENG; Xiang LI; Jing WU

doi:10.1587/transcom.2020EBP3103

Interference Management and Resource Allocation in Multi-Channel Ad Hoc Cognitive Radio Network

Ke WANG, Wei HENG, Xiang LI, Jing WU

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Cognitive radio network (CRN) provides an effective way of improving efficiency and flexibility in spectrum usage. Due to the coexistence of secondary user (SU) and primary user (PU), managing interference is a critical issue to be addressed if we are to reap the full benefits. In this paper, we consider the problem of joint interference management and resource allocation in a multi-channel ad hoc CRN. We formulate the problem as an overlapping coalition formation game to maximize the sum rate of SU links while guaranteeing the quality of service (QoS) of PU links. In the game, each SU link can make an autonomous decision and is allowed to participate in one or more cooperative coalitions simultaneously to maximize its payoff. To obtain the solution of the formulated game, a distributed, self-organizing algorithm is proposed for performing coalition formation. We analyze the properties of the algorithm and show that SU links can cooperate to reach a final stable coalition structure. Compared with existing approaches, the proposed scheme achieves appreciable performance improvement in terms of the sum rate of SU links, which is demonstrated by simulation results.

Publication: IEICE TRANSACTIONS on Communications Vol.E104-B No.3 pp.320-327

Publication Date: 2021/03/01

Publicized: 2020/09/11

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2020EBP3103

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

Authors

Ke WANG
  Southeast University
Wei HENG
  Southeast University
Xiang LI
  Southeast University
Jing WU
  Southeast University

Keyword

cognitive radio, interference management, resource allocation, game theory, cooperative games

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Ke WANG, Wei HENG, Xiang LI, Jing WU, "Interference Management and Resource Allocation in Multi-Channel Ad Hoc Cognitive Radio Network" in IEICE TRANSACTIONS on Communications, vol. E104-B, no. 3, pp. 320-327, March 2021, doi: 10.1587/transcom.2020EBP3103.
Abstract: Cognitive radio network (CRN) provides an effective way of improving efficiency and flexibility in spectrum usage. Due to the coexistence of secondary user (SU) and primary user (PU), managing interference is a critical issue to be addressed if we are to reap the full benefits. In this paper, we consider the problem of joint interference management and resource allocation in a multi-channel ad hoc CRN. We formulate the problem as an overlapping coalition formation game to maximize the sum rate of SU links while guaranteeing the quality of service (QoS) of PU links. In the game, each SU link can make an autonomous decision and is allowed to participate in one or more cooperative coalitions simultaneously to maximize its payoff. To obtain the solution of the formulated game, a distributed, self-organizing algorithm is proposed for performing coalition formation. We analyze the properties of the algorithm and show that SU links can cooperate to reach a final stable coalition structure. Compared with existing approaches, the proposed scheme achieves appreciable performance improvement in terms of the sum rate of SU links, which is demonstrated by simulation results.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3103/_p

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@ARTICLE{e104-b_3_320,
author={Ke WANG, Wei HENG, Xiang LI, Jing WU, },
journal={IEICE TRANSACTIONS on Communications},
title={Interference Management and Resource Allocation in Multi-Channel Ad Hoc Cognitive Radio Network},
year={2021},
volume={E104-B},
number={3},
pages={320-327},
abstract={Cognitive radio network (CRN) provides an effective way of improving efficiency and flexibility in spectrum usage. Due to the coexistence of secondary user (SU) and primary user (PU), managing interference is a critical issue to be addressed if we are to reap the full benefits. In this paper, we consider the problem of joint interference management and resource allocation in a multi-channel ad hoc CRN. We formulate the problem as an overlapping coalition formation game to maximize the sum rate of SU links while guaranteeing the quality of service (QoS) of PU links. In the game, each SU link can make an autonomous decision and is allowed to participate in one or more cooperative coalitions simultaneously to maximize its payoff. To obtain the solution of the formulated game, a distributed, self-organizing algorithm is proposed for performing coalition formation. We analyze the properties of the algorithm and show that SU links can cooperate to reach a final stable coalition structure. Compared with existing approaches, the proposed scheme achieves appreciable performance improvement in terms of the sum rate of SU links, which is demonstrated by simulation results.},
keywords={},
doi={10.1587/transcom.2020EBP3103},
ISSN={1745-1345},
month={March},}

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TY - JOUR
TI - Interference Management and Resource Allocation in Multi-Channel Ad Hoc Cognitive Radio Network
T2 - IEICE TRANSACTIONS on Communications
SP - 320
EP - 327
AU - Ke WANG
AU - Wei HENG
AU - Xiang LI
AU - Jing WU
PY - 2021
DO - 10.1587/transcom.2020EBP3103
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2021
AB - Cognitive radio network (CRN) provides an effective way of improving efficiency and flexibility in spectrum usage. Due to the coexistence of secondary user (SU) and primary user (PU), managing interference is a critical issue to be addressed if we are to reap the full benefits. In this paper, we consider the problem of joint interference management and resource allocation in a multi-channel ad hoc CRN. We formulate the problem as an overlapping coalition formation game to maximize the sum rate of SU links while guaranteeing the quality of service (QoS) of PU links. In the game, each SU link can make an autonomous decision and is allowed to participate in one or more cooperative coalitions simultaneously to maximize its payoff. To obtain the solution of the formulated game, a distributed, self-organizing algorithm is proposed for performing coalition formation. We analyze the properties of the algorithm and show that SU links can cooperate to reach a final stable coalition structure. Compared with existing approaches, the proposed scheme achieves appreciable performance improvement in terms of the sum rate of SU links, which is demonstrated by simulation results.
ER -