Distributed interference cancellation for dynamic spectrum sharing

Kentaro Nishimori, Hiroyuki Yomo, Petar Popovski, Yasushi Takatori, Ramjee Prasad, Shuji Kubota

研究成果: Conference contribution

3 引用 (Scopus)

抄録

This paper proposes a novel interference cancellation technique using the concept of a distributed array, for the secondary use of the frequency resources in frequency division duplexing (FDD)-based cellular systems. In order to achieve efficient distributed interference cancellation, the secondary system exploit intervals for periodic training signals transmitted by FDD-time division multiple access (TDMA)-based cellular systems. We show that an efficient interference cancellation can be achieved by introducing helpers that decode the interference and transfer it to the secondary nodes. We take advantage of the high-speed links within the secondary system and devise a data compressing scheme that reduces time for transferring the decoded interference. We clarify the effectiveness of the proposed scheme by using computer simulation. As a parameter, the transmission quality between the helper and secondary nodes is varied. The results indicate that the proposed distributed interference cancellation is effective compared to a conventional adaptive array using a zero forcing algorithm, when the signal to noise ratio between the helper and the target secondary node is greater than 20 dB.

元の言語English
ホスト出版物のタイトルIEEE International Conference on Communications
ページ3044-3049
ページ数6
DOI
出版物ステータスPublished - 2008
外部発表Yes
イベントIEEE International Conference on Communications, ICC 2008 - Beijing
継続期間: 2008 5 192008 5 23

Other

OtherIEEE International Conference on Communications, ICC 2008
Beijing
期間08/5/1908/5/23

Fingerprint

Time division multiple access
Signal to noise ratio
Computer simulation

ASJC Scopus subject areas

  • Media Technology

これを引用

Nishimori, K., Yomo, H., Popovski, P., Takatori, Y., Prasad, R., & Kubota, S. (2008). Distributed interference cancellation for dynamic spectrum sharing. : IEEE International Conference on Communications (pp. 3044-3049). [4533609] https://doi.org/10.1109/ICC.2008.573

Distributed interference cancellation for dynamic spectrum sharing. / Nishimori, Kentaro; Yomo, Hiroyuki; Popovski, Petar; Takatori, Yasushi; Prasad, Ramjee; Kubota, Shuji.

IEEE International Conference on Communications. 2008. p. 3044-3049 4533609.

研究成果: Conference contribution

Nishimori, K, Yomo, H, Popovski, P, Takatori, Y, Prasad, R & Kubota, S 2008, Distributed interference cancellation for dynamic spectrum sharing. : IEEE International Conference on Communications., 4533609, pp. 3044-3049, IEEE International Conference on Communications, ICC 2008, Beijing, 08/5/19. https://doi.org/10.1109/ICC.2008.573
Nishimori K, Yomo H, Popovski P, Takatori Y, Prasad R, Kubota S. Distributed interference cancellation for dynamic spectrum sharing. : IEEE International Conference on Communications. 2008. p. 3044-3049. 4533609 https://doi.org/10.1109/ICC.2008.573
Nishimori, Kentaro ; Yomo, Hiroyuki ; Popovski, Petar ; Takatori, Yasushi ; Prasad, Ramjee ; Kubota, Shuji. / Distributed interference cancellation for dynamic spectrum sharing. IEEE International Conference on Communications. 2008. pp. 3044-3049
@inproceedings{e1583a32847d423d9913231a90e68182,
title = "Distributed interference cancellation for dynamic spectrum sharing",
abstract = "This paper proposes a novel interference cancellation technique using the concept of a distributed array, for the secondary use of the frequency resources in frequency division duplexing (FDD)-based cellular systems. In order to achieve efficient distributed interference cancellation, the secondary system exploit intervals for periodic training signals transmitted by FDD-time division multiple access (TDMA)-based cellular systems. We show that an efficient interference cancellation can be achieved by introducing helpers that decode the interference and transfer it to the secondary nodes. We take advantage of the high-speed links within the secondary system and devise a data compressing scheme that reduces time for transferring the decoded interference. We clarify the effectiveness of the proposed scheme by using computer simulation. As a parameter, the transmission quality between the helper and secondary nodes is varied. The results indicate that the proposed distributed interference cancellation is effective compared to a conventional adaptive array using a zero forcing algorithm, when the signal to noise ratio between the helper and the target secondary node is greater than 20 dB.",
keywords = "Distributed array, FDD systems, Interference information transfer, Periodic tracing signal, Secondary spectrum usage",
author = "Kentaro Nishimori and Hiroyuki Yomo and Petar Popovski and Yasushi Takatori and Ramjee Prasad and Shuji Kubota",
year = "2008",
doi = "10.1109/ICC.2008.573",
language = "English",
isbn = "9781424420742",
pages = "3044--3049",
booktitle = "IEEE International Conference on Communications",

}

TY - GEN

T1 - Distributed interference cancellation for dynamic spectrum sharing

AU - Nishimori, Kentaro

AU - Yomo, Hiroyuki

AU - Popovski, Petar

AU - Takatori, Yasushi

AU - Prasad, Ramjee

AU - Kubota, Shuji

PY - 2008

Y1 - 2008

N2 - This paper proposes a novel interference cancellation technique using the concept of a distributed array, for the secondary use of the frequency resources in frequency division duplexing (FDD)-based cellular systems. In order to achieve efficient distributed interference cancellation, the secondary system exploit intervals for periodic training signals transmitted by FDD-time division multiple access (TDMA)-based cellular systems. We show that an efficient interference cancellation can be achieved by introducing helpers that decode the interference and transfer it to the secondary nodes. We take advantage of the high-speed links within the secondary system and devise a data compressing scheme that reduces time for transferring the decoded interference. We clarify the effectiveness of the proposed scheme by using computer simulation. As a parameter, the transmission quality between the helper and secondary nodes is varied. The results indicate that the proposed distributed interference cancellation is effective compared to a conventional adaptive array using a zero forcing algorithm, when the signal to noise ratio between the helper and the target secondary node is greater than 20 dB.

AB - This paper proposes a novel interference cancellation technique using the concept of a distributed array, for the secondary use of the frequency resources in frequency division duplexing (FDD)-based cellular systems. In order to achieve efficient distributed interference cancellation, the secondary system exploit intervals for periodic training signals transmitted by FDD-time division multiple access (TDMA)-based cellular systems. We show that an efficient interference cancellation can be achieved by introducing helpers that decode the interference and transfer it to the secondary nodes. We take advantage of the high-speed links within the secondary system and devise a data compressing scheme that reduces time for transferring the decoded interference. We clarify the effectiveness of the proposed scheme by using computer simulation. As a parameter, the transmission quality between the helper and secondary nodes is varied. The results indicate that the proposed distributed interference cancellation is effective compared to a conventional adaptive array using a zero forcing algorithm, when the signal to noise ratio between the helper and the target secondary node is greater than 20 dB.

KW - Distributed array

KW - FDD systems

KW - Interference information transfer

KW - Periodic tracing signal

KW - Secondary spectrum usage

UR - http://www.scopus.com/inward/record.url?scp=51249115592&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=51249115592&partnerID=8YFLogxK

U2 - 10.1109/ICC.2008.573

DO - 10.1109/ICC.2008.573

M3 - Conference contribution

AN - SCOPUS:51249115592

SN - 9781424420742

SP - 3044

EP - 3049

BT - IEEE International Conference on Communications

ER -