Interference Analysis for Multi-Carrier Systems Over Fast-Fading Multipath Channels

Hamdan, Ahmad; Hijazi, Hussein; Ros, Laurent; Siclet, Cyrille; Ghouwayel, Ali Chamas Al

doi:10.1109/latincom53176.2021.9647847

Cited by 2 publications

(3 citation statements)

References 12 publications

(16 reference statements)

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“…Simulations are provided for OFDM and FBMC by setting the pulse shapes to Rect (with CP of length N − M ) and RRC pulse (with roll-off factor β = 0.25), respectively. These pulse shapes and their interference-related properties are discussed in our previous work [3], [4]. We analyze the performance of the equalization techniques discussed in section III depending on the value of the normalized Doppler spread (F d T S ) and the normalized SNR (E b /N 0 ) for OFDM and FBMC.…”

Section: Simulation and Discussionmentioning

confidence: 99%

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Equalization with Time Domain Preprocessing for OFDM and FBMC in Flat Fading Fast Varying Channels

Hamdan

Hijazi

Ros

et al. 2022

2022 IEEE 6th International Symposium on Telecommunication Technologies (ISTT)

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In Multi-Carrier (MC) systems, all equalization and detection procedures are classically performed at the sub-carrier level after the received signal is projected into the frequency domain. Besides, in the presence of rapid channel variation, conventional receivers suffer from critical performance degradation caused by interference. To address this specific problem, we propose to add a low-complexity time domain preprocessing prior to the frequency domain equalization process. We specifically study Orthogonal Frequency Division Multiplexing (OFDM) and Filter-Bank Multi-Carrier (FBMC) over single-path fast-varying Rayleigh channels when using the proposed scheme. Two time domain preprocessing techniques are considered. Their impact on equalization performance is evaluated in perfect and imperfect Channel State Information (CSI) scenarios, showing robustness to reasonable channel estimation errors. For both systems, a reduction in Bit Error Rate (BER) is obtained thanks to the preprocessing. Furthermore, the proposed scheme allows for capturing time diversity leading to improvement in performance for faster channel variation, rather than inducing performance degradation, showing the relevance of our approach. For OFDM, this preprocessing allows reaching the best performance compared to the existing equalizers at significant lower complexity. For FBMC, it permits to obtain a performance gain of 10 dB at F d T S = 0.25, while avoiding the BER floor effect. This gain is observed at BER= 2 × 10 −2 for scenarios accepting Inter-Symbol Interference (ISI), and at BER= 10 −3 when assuming perfect ISI cancellation. For the latter scenario, we obtain performance very close to the (computationally intractable) optimum Maximum-Likelihood equalizer.

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Section: Simulation and Discussionmentioning

confidence: 99%

“…Another very interesting variant of MC systems is Filter-Bank Multi-Carrier (FBMC) [2]. We have previously studied the severe interference such systems suffer from in single path [3] and multipath [4] channels when 1 Institute of Engineering Univ. Grenoble Alpes.…”

Section: Introductionmentioning

confidence: 99%

Equalization with Time Domain Preprocessing for OFDM and FBMC in Flat Fading Fast Varying Channels

Hamdan

Hijazi

Ros

et al. 2022

2022 IEEE 6th International Symposium on Telecommunication Technologies (ISTT)

Self Cite

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“…Concurrent Wireless Data Streams and Power-Transfer is an emerging area with great prospects especially with 5G rollout in Africa. In most works, spatial diversity (SD) is introduced in transmissions systems to mitigate the effect of multipath fading [19]. In lengthy links over extremely reflective surfaces like water bodies where a non-diversity link can't deliver high availability, SD is needed.…”

Section: A Cwdspt Space Diversitymentioning

confidence: 99%

ASM-ROBOT: A Cyber-Physical Home Automation Controller with Memristive Reconfigurable State Machine

Okafor¹,

Longe²

2022

IJACSA

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In the next 5 to 10 years, digital Artificial Intelligence with Machine Circuit Learning Algorithms (MCLA) will become the mainstream in complex automated robots. Its power concerns, ethical perspectives, including the issues of digital sensing, actuation, mobility, efficient processcomputation, and wireless communication will require advanced neuromorphic process variable controls. Existing home automated robots lack memristic associative memory. This work presents Cyber-Physical Home Automation System (CPHAS) using Memristive Reconfigurable Algorithmic State Machine (MRASM) chart. A process control architecture that supports Concurrent Wireless Data Streams and Power-Transfer (CWDSPT) is developed. Unlike legacy systems with powersplitting (PS) and time-switching (TS) controls, the MRASM-ROBOT explores granular wireless signal controls through unmodulated high-power continuous wave (CW). This transmits infinite process variables using Orthogonal Space-Time Block Code (OSTBC) for interference reduction. The CWDSPT transmitter and receiver circuit design for signal processing are implemented with complexity noise-error reduction during telemetry data decoding. Received signals are error-buffered while gathering control variables' status.Transceiver Memristive neuromorphic circuits are introduced for computational acceleration in the design. Hardware circuit design is tested for system reliability considering the derived schematic models for all process variables. Under small range space diversity, the system demonstrated significant memory stabilization at the synchronous iteration of the synaptic circuitry.

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Interference Analysis for Multi-Carrier Systems Over Fast-Fading Multipath Channels

Cited by 2 publications

References 12 publications

Equalization with Time Domain Preprocessing for OFDM and FBMC in Flat Fading Fast Varying Channels

Equalization with Time Domain Preprocessing for OFDM and FBMC in Flat Fading Fast Varying Channels

ASM-ROBOT: A Cyber-Physical Home Automation Controller with Memristive Reconfigurable State Machine

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