Single antenna interference cancellation: iterative semi-blind algorithm and performance bound for joint maximum-likelihood interference cancellation

Schoeneich, Hendrik; Hoeher, Peter Adam

doi:10.1109/glocom.2003.1258530

Cited by 26 publications

(3 citation statements)

References 9 publications

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“…More particularly, this technique relies on either maximumlikelihood detection or predetection processing, rather than on IC techniques. This development is attributed to the fact that joint detection has also been developed for asynchronous networks [53]. As a further advance, the proposed SAIC technique has had successful field trial results in the GSM era in terms of suppressing the downlink inter-cell interference [31].…”

Section: A Muti-user Detection and Interference Cancelationmentioning

confidence: 99%

Nonorthogonal Multiple Access for 5G and Beyond

et al. 2017

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Driven by the rapid escalation of the wireless capacity requirements imposed by advanced multimedia applications (e.g., ultra-high-definition video, virtual reality etc.), as well as the dramatically increasing demand for user access required for the Internet of Things (IoT), the fifth generation (5G) networks face challenges in terms of supporting largescale heterogeneous data traffic. Non-orthogonal multiple access (NOMA), which has been recently proposed for the 3rd generation partnership projects long-term evolution advanced (3GPP-LTE-A), constitutes a promising technology of addressing the above-mentioned challenges in 5G networks by accommodating several users within the same orthogonal resource block. By doing so, significant bandwidth efficiency enhancement can be attained over conventional orthogonal multiple access (OMA) techniques. This motivated numerous researchers to dedicate substantial research contributions to this field. In this context, we provide a comprehensive overview of the state-of-the-art in power-domain multiplexing aided NOMA, with a focus on the theoretical NOMA principles, multiple antenna aided NOMA design, on the interplay between NOMA and cooperative transmission, on the resource control of NOMA, on the co-existence of NOMA with other emerging potential 5G techniques and on the comparison with other NOMA variants. We highlight the main advantages of power-domain multiplexing NOMA compared to other existing NOMA techniques. We summarize the challenges of existing research contributions of NOMA and provide potential solutions. Finally, we offer some design guidelines for NOMA systems and identify promising research opportunities for the future.

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Section: A Muti-user Detection and Interference Cancelationmentioning

confidence: 99%

Nonorthogonal Multiple Access for 5G and Beyond

et al. 2017

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“…More particularly, this technique relies on either maximum-likelihood detection or predetection processing, rather than on IC techniques. This development is attributed to the fact that joint detection has also been developed for asynchronous networks [53]. As a further advance, the proposed SAIC technique has had successful field trial results in the GSM era in terms of suppressing the downlink inter-cell interference [31].…”

Section: ) Muti-user Detectionmentioning

confidence: 99%

Non-Orthogonal Multiple Access for 5G and Beyond

Liu¹,

Qin²,

Elkashlan³

et al. 2018

Preprint

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Driven by the rapid escalation of the wireless capacity requirements imposed by advanced multimedia applications (e.g., ultra-high-definition video, virtual reality etc.), as well as the dramatically increasing demand for user access required for the Internet of Things (IoT), the fifth generation (5G) networks face challenges in terms of supporting large-scale heterogeneous data traffic. Non-orthogonal multiple access (NOMA), which has been recently proposed for the 3rd generation partnership projects long-term evolution advanced (3GPP-LTE-A), constitutes a promising technology of addressing the above-mentioned challenges in 5G networks by accommodating several users within the same orthogonal resource block.By doing so, significant bandwidth efficiency enhancement can be attained over conventional orthogonal multiple access (OMA) techniques. This motivated numerous researchers to dedicate substantial research contributions to this field. In this context, we provide a comprehensive overview of the state-of-the-art in power-domain multiplexing aided NOMA, with a focus on the theoretical NOMA principles, multiple antenna aided NOMA design, on the interplay between NOMA and cooperative transmission, on the resource control of NOMA, on the co-existence of NOMA with other emerging potential 5G techniques and on the comparison with other NOMA variants. We highlight the main advantages of power-domain multiplexing NOMA compared to other existing NOMA techniques. We summarize the challenges of existing research contributions of NOMA and provide potential solutions. Finally, we offer some design guidelines for NOMA systems and identify promising research opportunities for the future.

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“…In previous works, we generalized a blind SAIC algorithm, which is originally developed in [3] for GSM systems to OFDM systems, and named it least mean square-blind joint maximum likelihood sequence estimation (LMS-BJMLSE) [4]. LMS-BJMLSE is blind with respect to interference since neither pilot nor training sequence (TS) from interference is required.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Blind Single Antenna Interference Cancellation Algorithm for 4G LTE Systems

Zhou¹,

Jiang

Tariq

et al. 2012

2012 IEEE 14th International Conference on High Performance Computing and Communication &Amp; 2012 IEEE 9th International Confe

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In previous works, a blind single antenna interference cancellation (SAIC) algorithm named least mean squareblind joint maximum likelihood sequence estimation (LMS-BJMLSE) has been proposed for OFDM systems. It is blind with respect to interference and is able to cancel interference by only one receive antenna. However, LMS-BJMLSE requires a long training sequence (TS) for channel estimation, which greatly reduces the transmission efficiency. Furthermore, since TS is not available in 4G LTE systems, LMS-BJMLSE can not be applied directly. In this paper, in order to solve this problem, a SINR and symbol position weight adaptive algorithm is proposed, and named as adaptive LMS-BJMLSE (ALMS-BJMLSE). For each slot, ALMS-BJMLSE dynamically decides the number of antennas used for interference cancellation and adjusts the step size, based on estimated SINR conditions and symbol position weight. Simulation results demonstrate that ALMS-BJMLSE achieves a much better balance between performance and transmission efficiency compared to the conventional LMS-BJMLSE algorithm, and can be applied for 4G LTE systems.

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Single antenna interference cancellation: iterative semi-blind algorithm and performance bound for joint maximum-likelihood interference cancellation

Cited by 26 publications

References 9 publications

Nonorthogonal Multiple Access for 5G and Beyond

Nonorthogonal Multiple Access for 5G and Beyond

Non-Orthogonal Multiple Access for 5G and Beyond

An Adaptive Blind Single Antenna Interference Cancellation Algorithm for 4G LTE Systems

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