Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Popovic, Branislav"'
Publikováno v:
EuCNC and 6G Summit 2024
Presenting analytical results for Binary Media-Based Modulation (B-MBM) over fading channels for single-antenna receivers. Illustrating that open-loop B-MBM, in the absence of feedback, only achieves a diversity order of one. However, with feedback a
Externí odkaz:
http://arxiv.org/abs/2407.03054
Publikováno v:
2024 IEEE Wireless Communications and Networking Conference
This paper introduces a novel physical-layer method labelled as Multi-Modal Concurrent Transmission (MMCT) for efficient transmission of multiple data streams with different reliability-latency performance requirements. The MMCT arranges data from mu
Externí odkaz:
http://arxiv.org/abs/2402.06306
Publikováno v:
IEEE Transactions on Wireless Communications, 2023
In this paper, we investigate the beamforming performances of holographic surfaces implemented as lossless antenna arrays with less than half-wavelength spacing. We first develop a method to quantify the mutual coupling effect among the antennas in a
Externí odkaz:
http://arxiv.org/abs/2311.05015
Constant amplitude zero autocorrelation (CAZAC) sequences have modulus one and ideal periodic autocorrelation function. Such sequences are used in cellular radio communications systems, e.g., for reference signals, synchronization signals and random
Externí odkaz:
http://arxiv.org/abs/2306.15945
Autor:
Ozfatura, Emre, Shao, Yulin, Ghazanfari, Amin, Perotti, Alberto, Popovic, Branislav, Gunduz, Deniz
Deep neural network (DNN)-assisted channel coding designs, such as low-complexity neural decoders for existing codes, or end-to-end neural-network-based auto-encoder designs are gaining interest recently due to their improved performance and flexibil
Externí odkaz:
http://arxiv.org/abs/2211.01730
Deep learning based channel code designs have recently gained interest as an alternative to conventional coding algorithms, particularly for channels for which existing codes do not provide effective solutions. Communication over a feedback channel i
Externí odkaz:
http://arxiv.org/abs/2206.09457
We consider a multicarrier chirp-based waveform for joint radar and communication (JRC) systems and derive its time discrete periodic ambiguity function (AF). An advantage of the waveform is that it includes a set of waveform parameters (e.g., chirp
Externí odkaz:
http://arxiv.org/abs/2206.04528
Ultra-reliable short-packet communication is a major challenge in future wireless networks with critical applications. To achieve ultra-reliable communications beyond 99.999%, this paper envisions a new interaction-based communication paradigm that e
Externí odkaz:
http://arxiv.org/abs/2205.14955
We present a new deep-neural-network (DNN) based error correction code for fading channels with output feedback, called deep SNR-robust feedback (DRF) code. At the encoder, parity symbols are generated by a long short term memory (LSTM) network based
Externí odkaz:
http://arxiv.org/abs/2112.11789
The Accumulative Iterative Code (AIC) proposed in this work is a new error correcting code for channels with feedback. AIC sends the information message to the receiver in a number of transmissions, where the initial transmission contains the uncoded
Externí odkaz:
http://arxiv.org/abs/2106.07415