Iterative Interference Cancellation in FBMC-QAM Systems

Mahama, Sumaila; Harbi, Yahya J.; Burr, Alister G.; Grace, David

doi:10.1109/wcnc.2019.8885832

Cited by 15 publications

(16 citation statements)

References 15 publications

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“…The calculated ICI and ISI terms are then subtracted from the received signal in order to achieve a better version of the demodulated signal in the next iteration. Detailed discussion on the IIC algorithm can be found in [3] and [25], and are shown in Algorithm 1. Run line search to find x for the TRS optimization Set time resource allocation to equal allocation Calculate the weight using ω k = 2x K log(2)…”

Section: A Iterative Interference Cancellationmentioning

confidence: 99%

Multi-User Wireless Information and Power Transfer in FBMC-Based IoT Networks

Mahama

Asiedu

Harbi

et al. 2021

IEEE Open J. Commun. Soc.

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In order to address the shortcomings of orthogonal frequency division multiplexing (OFDM) and extend the lifetime of energyconstrained Internet-of-Things (IoT) devices, the combination of filter bank multi-carrier (FBMC) and simultaneous wireless information and power transfer (SWIPT) is investigated in this paper. Specifically, a multiuser FBMC-based SWIPT system is proposed in which user nodes (UNs) have the capability for both energy harvesting (EH) and information decoding (ID) with the aid of separate antennas. A practical non-linear EH model, which considers the saturation effects of the EH circuit, is considered. The information receiver at both the UNs and base station (BS) adopts an iterative interference cancellation (IIC) receiver to cancel the intrinsic interference in the demodulated FBMC signal. A sum-rate maximization problem is solved to jointly optimize parameters such as time, power, and weight allocations. Sub-optimal schemes are proposed for comparison. Numerical results show that the optimal solution significantly outperforms the sub-optimal methods in terms of achievable sum-rate and amount of harvested energy. Moreover, the results show that the proposed algorithm converges within a few iterations. Index Terms-Filter bank multi-carrier (FBMC), simultaneous wireless information and power transfer (SWIPT), time division multiple access (TDMA), sum-rate maximization, Internet-of-Things (IoT) networks.

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Section: A Iterative Interference Cancellationmentioning

confidence: 99%

Multi-User Wireless Information and Power Transfer in FBMC-Based IoT Networks

Mahama

Asiedu

Harbi

et al. 2021

IEEE Open J. Commun. Soc.

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“…To resolve the problems with OQAM processing, FBMC with QAM modulation is implemented [3]. The proposed receiver uses bit-interleaved coded modulation with iterative decoding (BICM-ID) which combines FBMC demodulation and SISO decoding for signal detection, and PIC and iterative interference cancellation (IIC) for interference removal [9]. In the initial decoding iteration, each UE's transmit signal is estimated and used to cancel MUI in the PIC phase.…”

Section: Introductionmentioning

confidence: 99%

Multi-User Interference Cancellation for Uplink FBMC-Based Multiple Access Channel

et al. 2021

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In the uplink of multi-user systems, signals from different users may arrive at the base station with different timing offsets (TO), which degrades the performance of conventional OFDM systems. In this letter, an FBMC-based multiple access channel with timing errors is considered under frequency selective channels. To eliminate the intrinsic interference (InI), TOinduced interference (TOI) and multi-user interference (MUI) terms, an iterative receiver is proposed. The proposed receiver combines bit-interleaved coded modulation with iterative decoding (BICM-ID) processing with parallel interference cancellation and iterative interference cancellation. The results show that FBMC is robust to timing errors and the proposed receiver can effectively eliminate the interference terms. This motivates the use of FBMC as an alternative to OFDM in applications that require asynchronous transmissions.

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“…O uso de técnicas baseadas no cancelamento de interferências pode ser uma abordagem alternativa. Em [9] [10] [11] e [12], são apresentados alguns casos de algoritmos de cancelamento de interferência para o sistema FBMC a fim de mitigar a interferência residual do filtro e de canais com alta mobilidade.…”

Section: Introductionunclassified