The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
D2D(Device-to-Device) 통신을 통해 사용자 단말은 기지국(BS) 없이도 서로 직접 통신할 수 있습니다. 셀룰러 시스템을 기반으로 하는 D2D 통신은 기지국과 주파수 채널을 공유하므로 동일 채널 간섭이 발생할 수 있습니다. 직렬 간섭 제거기라고도 불리는 SIC(Successive Interference Canceller)는 수신 전력이 큰 순서대로 수신 신호에서 사용자 신호를 검출하고 빼는 방식으로, 위와 같은 간섭에 대처할 수 있으며, 기계 간 통신을 관리하는 포그 노드에 이미 적용되고 있습니다. BS와의 직접 통신 외에 M2M(기계 간) 장치. 그러나 사용자 신호의 수신 전력 수준 차이가 미미한 경우에는 SIC가 제대로 작동하지 않아 BER(비트 오류율) 성능이 저하됩니다. 이러한 문제를 해결하기 위해 본 논문에서는 최대 우도 기준 하에서 원하는 신호와 간섭하는 신호를 동시에 검출할 수 있고 사용자 간의 전력 레벨 차이가 작은 경우에도 좋은 BER 성능을 유지할 수 있는 병렬 간섭 제거(PIC) 적용을 제안합니다. 그러나 채널 코딩을 사용하면 일부 채널 조건에서 SIC가 BER 측면에서 PIC보다 우수할 수 있습니다. 이러한 장점을 고려하여 본 논문에서는 BER의 제약 하에서 D2D의 처리량을 최대화할 수 있는 적절한 제거 방식과 MCS(Modulation and Coding Scheme)를 선택할 것을 제안하며, 여기서 제거기 선택을 적응적 간섭 제거라고 한다. 컴퓨터 시뮬레이션에 따르면 PIC는 거의 모든 채널 조건에서 SIC보다 성능이 뛰어나므로 PIC와 SIC의 적응형 선택은 PIC에 비해 약간의 이득을 얻을 수 있는 반면 PIC는 SIC보다 10% 더 높은 평균 시스템 처리량을 달성할 수 있습니다. 전송 지연 시간의 경우, 포그 노드가 최소 1ms의 지연 시간을 유발하지만 적응형 선택 및 PIC가 다른 어떤 방식보다 지연 시간을 단축할 수 있음을 입증했습니다.
Binu SHRESTHA
Tokyo Institute of Technology
Yuyuan CHANG
Tokyo Institute of Technology
Kazuhiko FUKAWA
Tokyo Institute of Technology
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Binu SHRESTHA, Yuyuan CHANG, Kazuhiko FUKAWA, "Device-to-Device Communications Employing Fog Nodes Using Parallel and Serial Interference Cancelers" in IEICE TRANSACTIONS on Communications,
vol. E107-B, no. 1, pp. 223-231, January 2024, doi: 10.1587/transcom.2023EBT0006.
Abstract: Device-to-device (D2D) communication allows user terminals to directly communicate with each other without the need for any base stations (BSs). Since the D2D communication underlaying a cellular system shares frequency channels with BSs, co-channel interference may occur. Successive interference cancellation (SIC), which is also called the serial interference canceler, detects and subtracts user signals from received signals in descending order of received power, can cope with the above interference and has already been applied to fog nodes that manage communications among machine-to-machine (M2M) devices besides direct communications with BSs. When differences among received power levels of user signals are negligible, however, SIC cannot work well and thus causes degradation in bit error rate (BER) performance. To solve such a problem, this paper proposes to apply parallel interference cancellation (PIC), which can simultaneously detect both desired and interfering signals under the maximum likelihood criterion and can maintain good BER performance even when power level differences among users are small. When channel coding is employed, however, SIC can be superior to PIC in terms of BER under some channel conditions. Considering the superiority, this paper also proposes to select the proper cancellation scheme and modulation and coding scheme (MCS) that can maximize the throughput of D2D under a constraint of BER, in which the canceler selection is referred to as adaptive interference cancellation. Computer simulations show that PIC outperforms SIC under almost all channel conditions and thus the adaptive selection from PIC and SIC can achieve a marginal gain over PIC, while PIC can achieve 10% higher average system throughput than that of SIC. As for transmission delay time, it is demonstrated that the adaptive selection and PIC can shorten the delay time more than any other schemes, although the fog node causes the delay time of 1ms at least.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBT0006/_p
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@ARTICLE{e107-b_1_223,
author={Binu SHRESTHA, Yuyuan CHANG, Kazuhiko FUKAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Device-to-Device Communications Employing Fog Nodes Using Parallel and Serial Interference Cancelers},
year={2024},
volume={E107-B},
number={1},
pages={223-231},
abstract={Device-to-device (D2D) communication allows user terminals to directly communicate with each other without the need for any base stations (BSs). Since the D2D communication underlaying a cellular system shares frequency channels with BSs, co-channel interference may occur. Successive interference cancellation (SIC), which is also called the serial interference canceler, detects and subtracts user signals from received signals in descending order of received power, can cope with the above interference and has already been applied to fog nodes that manage communications among machine-to-machine (M2M) devices besides direct communications with BSs. When differences among received power levels of user signals are negligible, however, SIC cannot work well and thus causes degradation in bit error rate (BER) performance. To solve such a problem, this paper proposes to apply parallel interference cancellation (PIC), which can simultaneously detect both desired and interfering signals under the maximum likelihood criterion and can maintain good BER performance even when power level differences among users are small. When channel coding is employed, however, SIC can be superior to PIC in terms of BER under some channel conditions. Considering the superiority, this paper also proposes to select the proper cancellation scheme and modulation and coding scheme (MCS) that can maximize the throughput of D2D under a constraint of BER, in which the canceler selection is referred to as adaptive interference cancellation. Computer simulations show that PIC outperforms SIC under almost all channel conditions and thus the adaptive selection from PIC and SIC can achieve a marginal gain over PIC, while PIC can achieve 10% higher average system throughput than that of SIC. As for transmission delay time, it is demonstrated that the adaptive selection and PIC can shorten the delay time more than any other schemes, although the fog node causes the delay time of 1ms at least.},
keywords={},
doi={10.1587/transcom.2023EBT0006},
ISSN={1745-1345},
month={January},}
부
TY - JOUR
TI - Device-to-Device Communications Employing Fog Nodes Using Parallel and Serial Interference Cancelers
T2 - IEICE TRANSACTIONS on Communications
SP - 223
EP - 231
AU - Binu SHRESTHA
AU - Yuyuan CHANG
AU - Kazuhiko FUKAWA
PY - 2024
DO - 10.1587/transcom.2023EBT0006
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E107-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2024
AB - Device-to-device (D2D) communication allows user terminals to directly communicate with each other without the need for any base stations (BSs). Since the D2D communication underlaying a cellular system shares frequency channels with BSs, co-channel interference may occur. Successive interference cancellation (SIC), which is also called the serial interference canceler, detects and subtracts user signals from received signals in descending order of received power, can cope with the above interference and has already been applied to fog nodes that manage communications among machine-to-machine (M2M) devices besides direct communications with BSs. When differences among received power levels of user signals are negligible, however, SIC cannot work well and thus causes degradation in bit error rate (BER) performance. To solve such a problem, this paper proposes to apply parallel interference cancellation (PIC), which can simultaneously detect both desired and interfering signals under the maximum likelihood criterion and can maintain good BER performance even when power level differences among users are small. When channel coding is employed, however, SIC can be superior to PIC in terms of BER under some channel conditions. Considering the superiority, this paper also proposes to select the proper cancellation scheme and modulation and coding scheme (MCS) that can maximize the throughput of D2D under a constraint of BER, in which the canceler selection is referred to as adaptive interference cancellation. Computer simulations show that PIC outperforms SIC under almost all channel conditions and thus the adaptive selection from PIC and SIC can achieve a marginal gain over PIC, while PIC can achieve 10% higher average system throughput than that of SIC. As for transmission delay time, it is demonstrated that the adaptive selection and PIC can shorten the delay time more than any other schemes, although the fog node causes the delay time of 1ms at least.
ER -