Literatura científica selecionada sobre o tema "Index-partitioned modulation"
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Artigos de revistas sobre o assunto "Index-partitioned modulation"
Mahoro, Patience, Hye-Jung Moon, Hee-Jong Yang, Kyung-Ah Kim e Youn-Soo Cha. "Protective Effect of Gochujang on Inflammation in a DSS-Induced Colitis Rat Model". Foods 10, n.º 5 (12 de maio de 2021): 1072. http://dx.doi.org/10.3390/foods10051072.
Texto completo da fonteHwai-Tsu Hu e Ying-Hsiang Lu. "Frame-synchronous Blind Audio Watermarking for Tamper Proofing and Self-Recovery". Advances in Technology Innovation 5, n.º 1 (1 de janeiro de 2020): 18–32. http://dx.doi.org/10.46604/aiti.2020.4138.
Texto completo da fonteWodzicki, Kyle R., e Anita D. Rapp. "Variations in Precipitating Convective Feature Populations with ITCZ Width in the Pacific Ocean". Journal of Climate 33, n.º 10 (15 de maio de 2020): 4391–401. http://dx.doi.org/10.1175/jcli-d-19-0689.1.
Texto completo da fonteLiu, Fengshan, Ying Chen, Nini Bai, Dengpan Xiao, Huizi Bai, Fulu Tao e Quansheng Ge. "Divergent climate feedbacks on winter wheat growing and dormancy periods as affected by sowing date in the North China Plain". Biogeosciences 18, n.º 7 (8 de abril de 2021): 2275–87. http://dx.doi.org/10.5194/bg-18-2275-2021.
Texto completo da fonteTeses / dissertações sobre o assunto "Index-partitioned modulation"
Ajayi, Idowu Iseoluwa. "Enhanced Physical Layer Security through Frequency and Spatial Diversity". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS227.
Texto completo da fontePhysical layer security (PLS) is an emerging paradigm that focuses on using the properties of wireless communication, such as noise, fading, dispersion, interference, diversity, etc., to provide security between legitimate users in the presence of an eavesdropper. Since PLS uses signal processing and coding techniques, it takes place at the physical layer and hence can guarantee secrecy irrespective of the computational power of the eavesdropper. This makes it an interesting approach to complement legacy cryptography whose security premise is based on the computational hardness of the encryption algorithm that cannot be easily broken by an eavesdropper. The advancements in quantum computing has however shown that attackers have access to super computers and relying on only encryption will not be enough. In addition, the recent rapid advancement in wireless communication technologies has seen the emergence and adoption of technologies such as Internet of Things, Ultra-Reliable and Low Latency Communication, massive Machine-Type Communication, Unmanned Aerial Vehicles, etc. Most of these technologies are decentralized, limited in computational and power resources, and delay sensitive. This makes PLS a very interesting alternative to provide security in such technologies. To this end, in this thesis, we study the limitations to the practical implementation of PLS and propose solutions to address these challenges. First, we investigate the energy efficiency challenge of PLS by artificial noise (AN) injection in massive Multiple-Input Multiple-Output (MIMO) context. The large precoding matrix in massive MIMO also contributes to a transmit signal with high Peak-to-Average Power Ratio (PAPR). This motivated us to proposed a novel algorithm , referred to as PAPR-Aware-Secure-mMIMO. In this scheme, instantaneous Channel State Information (CSI) is used to design a PAPR-aware AN that simultaneously provides security while reducing the PAPR. This leads to energy efficient secure massive MIMO. The performance is measured in terms of secrecy capacity, Symbol Error Rate (SER), PAPR, and Secrecy Energy Efficiency (SEE). Next, we consider PLS by channel adaptation. These PLS schemes depend on the accuracy of the instantaneous CSI and are ineffective when the CSI is inaccurate. However, CSI could be inaccurate in practice due to such factors as noisy CSI feedback, outdated CSI, etc. To address this, we commence by proposing a PLS scheme that uses precoding and diversity to provide PLS. We then study the impact of imperfect CSI on the PLS performance and conclude with a proposal of a low-complexity autoencoder neural network to denoise the imperfect CSI and give optimal PLS performance. The proposed autoencoder models are referred to as DenoiseSecNet and HybDenoiseSecNet respectively. The performance is measured in terms of secrecy capacity and Bit Error Rate (BER). Finally, we study the performance of PLS under finite-alphabet signaling. Many works model performance assuming that the channel inputs are Gaussian distributed. However, Gaussian signals have high detection complexity because they take a continuum of values and have unbounded amplitudes. In practice, discrete channel inputs are used because they help to maintain moderate peak transmission power and receiver complexity. However, they introduce constraints that significantly affect PLS performance, hence, the related contribution in this thesis. We propose the use of dynamic keys to partition modulation spaces in such a way that it benefits a legitimate receiver and not the eavesdropper. This keys are based on the independent main channel and using them to partition leads to larger decision regions for the intended receiver but smaller ones for the Eavesdropper. The scheme is referred to as Index Partitioned Modulation (IPM). The performance is measured in terms of secrecy capacity, mutual information and BER