Near-optimal opportunistic spectrum access in cognitive radio networks in the 5G and IoT era

Omer Melih Gul

doi:10.1109/LCN52139.2021.9525001

Near-optimal opportunistic spectrum access in cognitive radio networks in the 5G and IoT era

Omer Melih Gul^*

^*Corresponding author for this work

Middle East Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

We consider a cognitive radio network consisting of M primary users, M primary receivers, a secondary user with K channels and K secondary receivers. A channel is assigned to each primary user for transmitting data to a primary receiver. Secondary user is assumed as data backlogged. The secondary user has no direct information on states (good or bad) of M channels, or statistic of channel evolution process. Secondary user chooses K channels for transmission in each time slot. If secondary user senses good state for a chosen channel, it can transmit data to a secondary receiver in that time slot. Otherwise, secondary user does not use that channel and choose another channel for data transmission next time. This scheduling problem is tackled under average reward criterion. Uniforming Random Ordered Policy (UROP) is proposed, and shown to achieve nearly throughput-optimality. It performs much better than myopic policy.

Original language	English
Title of host publication	Proceedings of the IEEE 46th Conference on Local Computer Networks, LCN 2021
Editors	Lyes Khoukhi, Sharief Oteafy, Eyuphan Bulut
Publisher	IEEE Computer Society
Pages	403-406
Number of pages	4
ISBN (Electronic)	9780738124766
DOIs	https://doi.org/10.1109/LCN52139.2021.9525001
Publication status	Published - 4 Oct 2021
Externally published	Yes
Event	46th IEEE Conference on Local Computer Networks, LCN 2021 - Edmonton, Canada Duration: 4 Oct 2021 → 7 Oct 2021

Publication series

Name	Proceedings - Conference on Local Computer Networks, LCN
Volume	2021-October

Conference

Conference	46th IEEE Conference on Local Computer Networks, LCN 2021
Country/Territory	Canada
City	Edmonton
Period	4/10/21 → 7/10/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Cognitive radio
Cross-layer design
Fading
Internet of Things (IoT)
Opportunistic spectrum access
Scheduling

Access to Document

10.1109/LCN52139.2021.9525001

Cite this

Gul, O. M. (2021). Near-optimal opportunistic spectrum access in cognitive radio networks in the 5G and IoT era. In L. Khoukhi, S. Oteafy, & E. Bulut (Eds.), Proceedings of the IEEE 46th Conference on Local Computer Networks, LCN 2021 (pp. 403-406). (Proceedings - Conference on Local Computer Networks, LCN; Vol. 2021-October). IEEE Computer Society. https://doi.org/10.1109/LCN52139.2021.9525001

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title = "Near-optimal opportunistic spectrum access in cognitive radio networks in the 5G and IoT era",

abstract = "We consider a cognitive radio network consisting of M primary users, M primary receivers, a secondary user with K channels and K secondary receivers. A channel is assigned to each primary user for transmitting data to a primary receiver. Secondary user is assumed as data backlogged. The secondary user has no direct information on states (good or bad) of M channels, or statistic of channel evolution process. Secondary user chooses K channels for transmission in each time slot. If secondary user senses good state for a chosen channel, it can transmit data to a secondary receiver in that time slot. Otherwise, secondary user does not use that channel and choose another channel for data transmission next time. This scheduling problem is tackled under average reward criterion. Uniforming Random Ordered Policy (UROP) is proposed, and shown to achieve nearly throughput-optimality. It performs much better than myopic policy.",

keywords = "Cognitive radio, Cross-layer design, Fading, Internet of Things (IoT), Opportunistic spectrum access, Scheduling",

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note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 46th IEEE Conference on Local Computer Networks, LCN 2021 ; Conference date: 04-10-2021 Through 07-10-2021",

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Gul, OM 2021, Near-optimal opportunistic spectrum access in cognitive radio networks in the 5G and IoT era. in L Khoukhi, S Oteafy & E Bulut (eds), Proceedings of the IEEE 46th Conference on Local Computer Networks, LCN 2021. Proceedings - Conference on Local Computer Networks, LCN, vol. 2021-October, IEEE Computer Society, pp. 403-406, 46th IEEE Conference on Local Computer Networks, LCN 2021, Edmonton, Canada, 4/10/21. https://doi.org/10.1109/LCN52139.2021.9525001

Near-optimal opportunistic spectrum access in cognitive radio networks in the 5G and IoT era. / Gul, Omer Melih.
Proceedings of the IEEE 46th Conference on Local Computer Networks, LCN 2021. ed. / Lyes Khoukhi; Sharief Oteafy; Eyuphan Bulut. IEEE Computer Society, 2021. p. 403-406 (Proceedings - Conference on Local Computer Networks, LCN; Vol. 2021-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Near-optimal opportunistic spectrum access in cognitive radio networks in the 5G and IoT era

Abstract

Publication series

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Bibliographical note

Keywords

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