Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | 2020 IEEE Wireless Communications and Networking Conference (WCNC) |
Untertitel | Proceedings |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seitenumfang | 7 |
ISBN (elektronisch) | 9781728131061 |
ISBN (Print) | 9781728131078 |
Publikationsstatus | Veröffentlicht - 2020 |
Veranstaltung | 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Seoul, Südkorea Dauer: 25 Mai 2020 → 28 Mai 2020 |
Publikationsreihe
Name | IEEE Wireless Communications and Networking Conference, WCNC |
---|---|
ISSN (Print) | 1525-3511 |
Abstract
Future wireless communication standards will include technologies to provide access to an increasing number of users, for example Machine-Type Communication (MTC), which is expected to interconnect billions of devices. Managing such a large number of network participants in centrally coordinated systems suffers from large controlling overhead as each device needs to be assigned resources and maintain synchronization. In this paper, we investigate systems with asynchronous channel access, in which signals are transmitted without prior resource coordination. In such uncoordinated networks, signal collisions are inevitable and pose a major challenge for system design. We present a closed-form solution for the Bit Error Probability (BEP) of colliding signals modulated with Filter Bank Multicarrier (FBMC), a modern multicarrier scheme that allows a flexible signal design. We additionally derive a solution for the BEP when Successive Interference Cancellation (SIC) is applied, a scheme where successfully decoded signals are removed from a collision in order to improve decoding of other signals implicated in the collision. The results are valid for any numbers of colliding FBMC signals over a broad range of doubly-selective channel configurations. Furthermore, we provide an overview of when interference cancellation is beneficial depending on the power ratio between colliding signals and the selected channel models.
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2020 IEEE Wireless Communications and Networking Conference (WCNC): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. (IEEE Wireless Communications and Networking Conference, WCNC).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Bit Error Probability for Asynchronous Channel Access with Interference Cancellation and FBMC
AU - Penner, Maxim
AU - Akin, Sami
AU - Fuhrwerk, Martin
AU - Peissig, Jurgen
N1 - Funding information: This work was supported by the German Research Foundation (DFG) – FeelMaTyC (329885056)
PY - 2020
Y1 - 2020
N2 - Future wireless communication standards will include technologies to provide access to an increasing number of users, for example Machine-Type Communication (MTC), which is expected to interconnect billions of devices. Managing such a large number of network participants in centrally coordinated systems suffers from large controlling overhead as each device needs to be assigned resources and maintain synchronization. In this paper, we investigate systems with asynchronous channel access, in which signals are transmitted without prior resource coordination. In such uncoordinated networks, signal collisions are inevitable and pose a major challenge for system design. We present a closed-form solution for the Bit Error Probability (BEP) of colliding signals modulated with Filter Bank Multicarrier (FBMC), a modern multicarrier scheme that allows a flexible signal design. We additionally derive a solution for the BEP when Successive Interference Cancellation (SIC) is applied, a scheme where successfully decoded signals are removed from a collision in order to improve decoding of other signals implicated in the collision. The results are valid for any numbers of colliding FBMC signals over a broad range of doubly-selective channel configurations. Furthermore, we provide an overview of when interference cancellation is beneficial depending on the power ratio between colliding signals and the selected channel models.
AB - Future wireless communication standards will include technologies to provide access to an increasing number of users, for example Machine-Type Communication (MTC), which is expected to interconnect billions of devices. Managing such a large number of network participants in centrally coordinated systems suffers from large controlling overhead as each device needs to be assigned resources and maintain synchronization. In this paper, we investigate systems with asynchronous channel access, in which signals are transmitted without prior resource coordination. In such uncoordinated networks, signal collisions are inevitable and pose a major challenge for system design. We present a closed-form solution for the Bit Error Probability (BEP) of colliding signals modulated with Filter Bank Multicarrier (FBMC), a modern multicarrier scheme that allows a flexible signal design. We additionally derive a solution for the BEP when Successive Interference Cancellation (SIC) is applied, a scheme where successfully decoded signals are removed from a collision in order to improve decoding of other signals implicated in the collision. The results are valid for any numbers of colliding FBMC signals over a broad range of doubly-selective channel configurations. Furthermore, we provide an overview of when interference cancellation is beneficial depending on the power ratio between colliding signals and the selected channel models.
KW - asynchronous channel access
KW - bit error probability
KW - FBMC
KW - SIC
UR - http://www.scopus.com/inward/record.url?scp=85087276660&partnerID=8YFLogxK
U2 - 10.1109/WCNC45663.2020.9120804
DO - 10.1109/WCNC45663.2020.9120804
M3 - Conference contribution
AN - SCOPUS:85087276660
SN - 9781728131078
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2020 IEEE Wireless Communications and Networking Conference (WCNC)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020
Y2 - 25 May 2020 through 28 May 2020
ER -