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Item type:Publication, Access status: with files , Mixed block markov superposition transmission codes(2026-06-15); ; ; Block Markov superposition transmission (BMST) codes provide a flexible framework for constructing codes with near-capacity performance and low-complexity sliding-window decoding. However, existing BMST variants show contrasting performance limitations: recursive BMST (rBMST) codes suffer from error propagation but avoid high error floors, whereas non-recursive BMST codes exhibit the opposite behavior. Motivated by these complementary characteristics, we combine recursive and non-recursive components through parallel and serial concatenation, yielding mixed BMST (mBMST) codes. The proposed framework subsumes existing BMST variants and enables new BMST structures. Simulations show that these structures improve FER and BER performance with lower memory requirements than rBMST.Publicationtype: Preprint68 30 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Fast window decoding of BMST codes via step adjustment and universal parity-Check terminationBlock Markov Superposition Transmission (BMST) codes are a class of spatially coupled codes, that achieve excellent error correction performance via superposition of simple constituent codes. A BMST encoder consists of an outer basic code and an inner rate-one block-convolutional shift register. The resulting graph representation of the encoder allows slidingwindow decoding, similarly to spatially coupled Low-Density Parity-Check codes. This paper proposes a method to reduce the decoding complexity by adjusting the step size of the sliding window. Furthermore, a low-complexity parity-check-based early termination criterion is introduced, which can be universally applied to recursive BMST structures.Publicationtype: Conference Paper97 45 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Wideband channel modeling for wireless avionics intra-communications(IEEE, 2025-07); ; ; Wireless Avionics Intra-Communications (WAIC) has been proposed to partially replace costly wiring in future generations of aircraft. Besides the allocation of a frequency range and several performance figures, there is no standardized transmission scheme so far. For the design of suitable physical layer techniques, comprehensive models are required to perform realistic link-level simulations for the aircraft environment. This paper presents a wideband channel model for in-cabin WAIC systems, derived from channel measurements performed in an Airbus A321 cabin. The model is validated by comparing experimentally measured and simulated frame error rates using the proposed model in an IEEE 802.11a-based OFDM transmission.Publicationtype: Conference Paper51 37 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Wideband channel modeling for wireless avionics intra-communicationsWireless Avionics Intra-Communications (WAIC) has been proposed to partially replace costly wiring in future generations of aircraft. Besides the allocation of a frequency range and several performance figures, there is no standardized transmission scheme so far. For the design of suitable physical layer techniques, comprehensive models are required to perform realistic link-level simulations for the aircraft environment. We present a wideband channel model for in-cabin WAIC systems, that has been derived from channel measurements performed in an Airbus A321 cabin. The model is validated by comparing physically measured frame error rates to simulated error ratesusing the proposed model in an OFDM transmission based on IEEE 802.11a applied to the WAIC frequency band.Publicationtype: Conference Poster not in Proceedings51 38 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Turbo Equalization with Coarse Quantization using the Information Bottleneck Method(2024-12-08); ; This paper proposes a turbo equalizer for inter-symbol interference channels (ISI) that uses coarsely quantized messages across all receiver components. Lookup tables (LUTs) carry out compression operations designed with the information bottleneck method aiming to maximize relevant mutual informa-tion. The turbo setup consists of an equalizer and a decoder that provide extrinsic information to each other over multiple turbo iterations. We develop simplified LUT structures to incorporate the decoder feedback in the equalizer with significantly reduced complexity. The proposed receiver is optimized for selected ISI channels. A conceptual hardware implementation is developed to compare the area efficiency and error correction performance. A thorough analysis reveals that LUT-based configurations with very coarse quantization can achieve higher area efficiency than conventional equalizers. Moreover, the proposed turbo setups can outperform the respective non-turbo setups regarding area efficiency and error correction capability.Publicationtype: Conference Paper59 78