53 research outputs found
Device Selection of Distributed Primal-Dual Algorithms Over Wireless Networks
In this paper, the implementation of a distributed primal-dual learning algorithm over realistic wireless networks is investigated. In the considered model, the users and one base station (BS) cooperatively perform a distributed primal-dual learning algorithm for controlling and optimizing wireless networks. In particular, each user must locally update the primal and dual variables and send the updated primal variables to the BS. The BS aggregates the received primal variables and broadcasts the aggregated variables to all users. Since all of the primal and dual variables as well as aggregated variables are transmitted over wireless links, the imperfect wireless links will affect the solution achieved by the distributed primal-dual algorithm. Therefore, it is necessary to study how wireless factors such as transmission errors affect the implementation of the distributed primal-dual algorithm and how to optimize wireless network performance to improve the solution achieved by the distributed primal-dual algorithm. To address these challenges, the convergence rate of the primal-dual algorithm is provided in a closed form while considering the impact of wireless factors such as data transmission errors. Simulation results show that the proposed distributed primal-dual algorithm can reduce the gap between the target and obtained solution compared to the distributed primal-dual learning algorithm without considering imperfect wireless transmission
Beamforming Design for Multiuser Transmission Through Reconfigurable Intelligent Surface
This paper investigates the problem of resource allocation for multiuser
communication networks with a reconfigurable intelligent surface (RIS)-assisted
wireless transmitter. In this network, the sum transmit power of the network is
minimized by controlling the phase beamforming of the RIS and transmit power of
the BS. This problem is posed as a joint optimization problem of transmit power
and RIS control, whose goal is to minimize the sum transmit power under
signal-to-interference-plus-noise ratio (SINR) constraints of the users. To
solve this problem, a dual method is proposed, where the dual problem is
obtained as a semidefinite programming problem. After solving the dual problem,
the phase beamforming of the RIS is obtained in the closed form, while the
optimal transmit power is obtained by using the standard interference function.
Simulation results show that the proposed scheme can reduce up to 94% and 27%
sum transmit power compared to the maximum ratio transmission (MRT) beamforming
and zero-forcing (ZF) beamforming techniques, respectively.Comment: RIS as transmitter for multiuser transmission, accepted in IEEE
Transactions on Communication
Genesis of the Wutuogou Ag-Pb-Zn deposit in the Eastern Kunlun Orogenic Belt, NW China: Constraints from calcite U-Pb geochronology, mineral chemistry, and in-situ sulfur isotopes
The Wutuogou Ag-Pb-Zn deposit, a newly discovered vein-type deposit, is located in the Eastern Kunlun Orogenic Belt (EKOB), northwestern China. The vein-type Ag-Pb-Zn ore bodies are hosted in Middle Triassic granodiorite and monzogranite and are characterized by high-grade Ag, Pb, and Zn (average Ag: 293 g/t, Pb: 3.00 %, Zn: 2.85 %). Three paragenetic stages have been recognized: quartz + pyrite (Py-1) + arsenopyrite (stage I), pyrite (Py-2) + sphalerite + chalcopyrite + tetrahedrite + quartz (substage II-1), galena + pyrargyrite + freibergite + freieslebenite + quartz + calcite (substage II-2), and quartz + calcite (stage III). Except for Ag-bearing minerals (pyrargyrite, freibergite, and freieslebenite), invisible silver is also present in pyrite (1.91–165 ppm), sphalerite (3.86–8806 ppm), and galena (up to 0.21 wt%). The calcite is closely associated with sulfides in substage II-2 and yields a U-Pb age of 210 ± 7 Ma (MSWD = 2.7), which represents the ore-forming age (lower limit). Py-1 displays higher As contents and lower Co contents than those of Py-2, indicating a decrease in temperature from stage I to stage II. In addition, the Fe/Zn mass ratios (0.025–0.075) of sphalerite estimate the fluid temperature for substage II-1 of 246–284 ◦C, whereas the Ag/(Ag + Cu) and Zn/(Zn + Fe) mole ratios of freibergite estimate the fluid temperature for substage II-2 of 140–270 ◦C, further indicating the decrease of temperature from stage I through substage II-1 to substage II-2. Mineral assemblages of pyrite-chalcopyrite-tetrahedrite in substage II-1 and Ag-sulfosalts in substage II-2 suggest a decrease in sulfur fugacity (fS2). Both the decrease in fS2 and cooling of the mineralizing fluids facilitate silver precipitation. The heterogeneous compositions of the freibergite and the Ag zonation in sphalerite (Sp-1) resulted from retrograde solid-state reactions that redistributed Ag through microscale exsolution. The δ34S values (+5.49 to +7.78 ‰) of the sulfides and the low Zn/Cd ratios (107–195) of sphalerite indicate a felsic magma source for the ore-forming materials. Therefore, we concluded that the Wutuogou Ag-Pb-Zn deposit corresponds to a medium- to low-temperature magmatic-hydrothermal deposit associated with Late Triassic magmatism in the Eastern Kunlun Orogenic Belt (EKOB)Genesis of the Wutuogou Ag-Pb-Zn deposit in the Eastern Kunlun Orogenic Belt, NW China: Constraints from calcite U-Pb geochronology, mineral chemistry, and in-situ sulfur isotopespublishedVersio
Semantic-aware Digital Twin for Metaverse: A Comprehensive Review
To facilitate the deployment of digital twins in Metaverse, the paradigm with
semantic awareness has been proposed as a means for enabling accurate and
task-oriented information extraction with inherent intelligence. However, this
framework requires all devices in the Metaverse environment to be directly
linked with the semantic model to enable faithful interpretation of messages.
In contrast, this article introduces the digital twin framework, considering a
smart industrial application, which enables semantic communication in
conjugation with the Metaverse enabling technologies. The fundamentals of this
framework are demonstrated on an industrial shopfloor management use case with
a digital twin so as to improve its performance through semantic communication.
An overview of semantic communication, Metaverse, and digital twins is
presented. Integration of these technologies with the basic architecture as
well as the impact on future industrial applications is presented. In a
nutshell, this article showcases how semantic awareness can be an effective
candidate in the implementation of digital twins for Metaverse applications.Comment: 9 pages, 5 figures, 1 tabl
Bayesian Learning for Double-RIS Aided ISAC Systems with Superimposed Pilots and Data
Reconfigurable intelligent surface (RIS) has great potential to improve the
performance of integrated sensing and communication (ISAC) systems, especially
in scenarios where line-of-sight paths between the base station and users are
blocked. However, the spectral efficiency (SE) of RIS-aided ISAC uplink
transmissions may be drastically reduced by the heavy burden of pilot overhead
for realizing sensing capabilities. In this paper, we tackle this bottleneck by
proposing a superimposed symbol scheme, which superimposes sensing pilots onto
data symbols over the same time-frequency resources. Specifically, we develop a
structure-aware sparse Bayesian learning framework, where decoded data symbols
serve as side information to enhance sensing performance and increase SE. To
meet the low-latency requirements of emerging ISAC applications, we further
propose a low-complexity simultaneous communication and localization algorithm
for multiple users. This algorithm employs the unitary approximate message
passing in the Bayesian learning framework for initial angle estimate, followed
by iterative refinements through reduced-dimension matrix calculations.
Moreover, the sparse code multiple access technology is incorporated into this
iterative framework for accurate data detection which also facilitates
localization. Numerical results show that the proposed superimposed
symbol-based scheme empowered by the developed algorithm can achieve
centimeter-level localization while attaining up to of the SE of
conventional communications without sensing capabilities. Moreover, compared to
other typical ISAC schemes, the proposed superimposed symbol scheme can provide
an effective throughput improvement over
Reconfigurable Intelligent Computational Surfaces: When Wave Propagation Control Meets Computing
The envisioned sixth-generation (6G) of wireless networks will involve an
intelligent integration of communications and computing, thereby meeting the
urgent demands of diverse applications. To realize the concept of the smart
radio environment, reconfigurable intelligent surfaces (RISs) are a promising
technology for offering programmable propagation of impinging electromagnetic
signals via external control. However, the purely reflective nature of
conventional RISs induces significant challenges in supporting
computation-based applications, e.g., wave-based calculation and signal
processing. To fulfil future communication and computing requirements, new
materials are needed to complement the existing technologies of metasurfaces,
enabling further diversification of electronics and their applications. In this
event, we introduce the concept of reconfigurable intelligent computational
surface (RICS), which is composed of two reconfigurable multifunctional layers:
the `reconfigurable beamforming layer' which is responsible for tunable signal
reflection, absorption, and refraction, and the `intelligence computation
layer' that concentrates on metamaterials-based computing. By exploring the
recent trends on computational metamaterials, RICSs have the potential to make
joint communication and computation a reality. We further demonstrate two
typical applications of RICSs for performing wireless spectrum sensing and
secrecy signal processing. Future research challenges arising from the design
and operation of RICSs are finally highlighted
DICER1 regulated let-7 expression levels in p53-induced cancer repression requires cyclin D1.
Let-7 miRNAs act as tumour suppressors by directly binding to the 3\u27UTRs of downstream gene products. The regulatory role of let-7 in downstream gene expression has gained much interest in the cancer research community, as it controls multiple biological functions and determines cell fates. For example, one target of the let-7 family is cyclin D1, which promotes G0/S cell cycle progression and oncogenesis, was correlated with endoribonuclease DICER1, another target of let-7. Down-regulated let-7 has been identified in many types of tumours, suggesting a feedback loop may exist between let-7 and cyclin D1. A potential player in the proposed feedback relationship is Dicer, a central regulator of miRNA expression through sequence-specific silencing. We first identified that DICER1 is the key downstream gene for cyclin D1-induced let-7 expression. In addition, we found that let-7 miRNAs expression decreased because of the p53-induced cell death response, with deregulated cyclin D1. Our results also showed that cyclin D1 is required for Nutlin-3 and TAX-induced let-7 expression in cancer repression and the cell death response. For the first time, we provide evidence that let-7 and cyclin D1 form a feedback loop in regulating therapy response of cancer cells and cancer stem cells, and importantly, that alteration of let-7 expression, mainly caused by cyclin D1, is a sensitive indicator for better chemotherapies response
Technological Evolution from RIS to Holographic MIMO
Multiple-input multiple-output (MIMO) techniques have been widely applied in current cellular networks. To meet the ever-increasing demands on spectral efficiency and network throughput, more and more antennas are equipped at the base station, forming the well-known concept of massive MIMO. However, traditional design with fully digital precoding architecture brings high power consumption and capital expenditure. Cost- and power-efficient solutions are being intensively investigated to address these issues. Among them, both reconfigurable intelligent surface (RIS) and holographic MIMO (HMIMO) stand out. In this chapter, we will focus on the ongoing paradigm shift from RIS to HMIMO, covering both topics in detail. A wide range of closely related topics, e.g., use cases, hardware architectures, channel modeling and estimation, RIS beamforming, HMIMO beamforming, performance analyses of spectral- and energy-efficiency, and challenges and outlook, will be covered to show their potential to be applied in the next-generation wireless networks as well as the rationales for the technological evolution from RIS to holographic MIMO
The endogenous cell-fate factor dachshund restrains prostate epithelial cell migration via repression of cytokine secretion via a cxcl signaling module.
Prostate cancer is the second leading form of cancer-related death in men. In a subset of prostate cancer patients, increased chemokine signaling IL8 and IL6 correlates with castrate-resistant prostate cancer (CRPC). IL8 and IL6 are produced by prostate epithelial cells and promote prostate cancer cell invasion; however, the mechanisms restraining prostate epithelial cell cytokine secretion are poorly understood. Herein, the cell-fate determinant factor DACH1 inhibited CRPC tumor growth in mice. Using Dach1(fl/fl)/Probasin-Cre bitransgenic mice, we show IL8 and IL6 secretion was altered by approximately 1,000-fold by endogenous Dach1. Endogenous Dach1 is shown to serve as a key endogenous restraint to prostate epithelial cell growth and restrains migration via CXCL signaling. DACH1 inhibited expression, transcription, and secretion of the CXCL genes (IL8 and IL6) by binding to their promoter regulatory regions in chromatin. DACH1 is thus a newly defined determinant of benign and malignant prostate epithelium cellular growth, migration, and cytokine abundance in vivo
Toward chaotic secure communications: an RIS enabled M-ary differential chaos shift keying system with block interleaving
Chaotic secure communication systems using chaotic waveforms as their spreading carriers can hide the transmitted information bits over a wide frequency range of chaotic waveform, which disguises the transmitted information waveform as noise. In this paper, a reconfigurable intelligent surface (RIS) enabled M -ary differential chaos shift keying with block interleaving (RIS-MDCSK-BI) system is proposed for chaotic secure communications, where an RIS is deployed at the transmitter to assist communications and a pair of block interleaving patterns are used to interleave M -ary information-bearing signals to enhance security performance. Moreover, we propose a chaotic merging sort algorithm to generate different block interleaving patterns, where these interleaving patterns are encrypted by using the non-periodic and noise-like properties of chaotic signals. To estimate information bits at the legitimate receiver, we propose a sequential detection algorithm and a joint detection algorithm. Then, theoretical bit error rate (BER) performances of the proposed RIS-MDCSK-BI system with the legitimate receiver and the eavesdropping receiver are derived. The security performance metrics, including information leakage and secrecy outage probability, are also analyzed. Monte Carlo simulations are performed to verify the superior BER performance and security performance of the proposed RIS-MDCSK-BI system compared to benchmark systems.Ministry of Education (MOE)This work was supported in part by the Singapore Ministry of Education Tier 2 under Grant MOE-T2EP50220-0019. The work of Chongwen Huang was supported in part by the China National Key Research and Development Program under Grant 2021YFA1000500, in part by the National Natural Science Foundation of China under Grant 62101492, in part by the Zhejiang Provincial Natural Science Foundation of China under Grant LR22F010002, in part by the National Natural Science Fund for Excellent Young Scientists Fund Program (Overseas), in part by the Zhejiang University Education Foundation Qizhen Scholar Foundation, and in part by the Fundamental Research Funds for the Central Universities under Grant 2021FZZX001-21. The work of Weikai Xu was supported in part by the National Natural Science Foundation of China under Grant 61871337 and in part by the Key Laboratory of Southeast Coast Marine Information Intelligent Perception and Application, Ministry of Natural Resources (MNR), No. KFJJ20220201. The work of Lin Wang was supported in part by the National Natural Science Foundation of China under Grant 61671395
- …