Designing Enhanced Multi-dimensional Constellations for Code-Domain NOMA

This paper presents an enhanced design of multi-dimensional (MD) constellations which play a pivotal role in many communication systems such as code-domain non-orthogonal multiple access (CD-NOMA). MD constellations are attractive as their structural properties, if properly designed, lead to signal space diversity and hence improved error rate performance. Unlike the existing works which mostly focus on MD constellations with large minimum Euclidean distance (MED), we look for new MD constellations with additional feature that the minimum product distance (MPD) is also large. To this end, a non-convex optimization problem is formulated and then solved by the convex-concave procedure (CCCP). Compared with the state-of-the-art literature, our proposed MD constellations lead to significant error performance enhancement over Rayleigh fading channels whilst maintaining almost the same performance over the Gaussian channels. To demonstrate their application, we also show that these MD constellations give rise to good codebooks in sparse code multiple access systems. All the obtained MD constellations can be found in https://github.com/Aureliano1/Multi-dimensional-constellation

Statistical inference of chromosomal homology based on gene colinearity and applications to Arabidopsis and rice

BACKGROUND: The identification of chromosomal homology will shed light on such mysteries of genome evolution as DNA duplication, rearrangement and loss. Several approaches have been developed to detect chromosomal homology based on gene synteny or colinearity. However, the previously reported implementations lack statistical inferences which are essential to reveal actual homologies. RESULTS: In this study, we present a statistical approach to detect homologous chromosomal segments based on gene colinearity. We implement this approach in a software package ColinearScan to detect putative colinear regions using a dynamic programming algorithm. Statistical models are proposed to estimate proper parameter values and evaluate the significance of putative homologous regions. Statistical inference, high computational efficiency and flexibility of input data type are three key features of our approach. CONCLUSION: We apply ColinearScan to the Arabidopsis and rice genomes to detect duplicated regions within each species and homologous fragments between these two species. We find many more homologous chromosomal segments in the rice genome than previously reported. We also find many small colinear segments between rice and Arabidopsis genomes

Reliable Power Delivery System Design for Three-dimensional Integrated Circuits (3D ICs)

Three-dimensional integrated circuits (3D ICs) have drawn groundswell of interest in both academia and industry in recent years. However, the power integrity of 3D ICs is threatened by the increased current density brought by vertical integration. to enhance reliability, the locations of power/ground through-silicon-vias (P/G TSVs), which are used to deliver power/ground signals to different layers, must be carefully placed to minimize IR-drop. However, the currents in 3D ICs are not deterministic and exhibit both spatial and temporal correlations. in view of this, we propose a correlation based heuristic algorithm for P/G TSV placement. Unlike most existing works, the proposed algorithm does not need iterations of full-grid simulations. Thus, it is especially attractive for large designs with millions of nodes. Experimental results on TSMC 90nm industrial designs indicate that the proposed method can achieve up to 70% reduction in IR-drop compared with the current industry practice, which uniformly distributes P/G TSVs. © 2012 IEEE

Capturing the Phantom of the Power Grid - on the Runtime Adaptive Techniques for Noise Reduction

Power supply noise has become one of the primary concerns in low power designs. to ensure power integrity, designers need to make sure that voltage droop and bounce do not exceed noise margin in all possible scenarios. Since it is very difficult to capture the exact worst corner among the mist of complex functionalities in modern VLSI designs, statistical design methodologies have been adapted, which may bring significant design overhead. in view of this, various runtime techniques have been proposed in literature to suppress power grid noise adaptively. This paper first presents various challenges in power grid designs from an industrial perspective, explains the difficulties in handling them at deign time, and then reviews various runtime techniques to adaptively suppress power supply noise, including sensor-Based power gating, re-routable decaps, proactive clock frequency actuator, and PLL based clocking. © 2012 IEEE

Designing Enhanced Multidimensional Constellations for Code-Domain NOMA

This letter presents an enhanced design of multi- dimensional (MD) constellations which play a pivotal role in many communication systems such as code-domain non- orthogonal multiple access (CD-NOMA). MD constellations are attractive as their structural properties, if properly designed, lead to signal space diversity and hence improved error rate performance. Unlike the existing works which mostly focus on MD constellations with large minimum Euclidean distance (MED), we look for new MD constellations with additional feature that the minimum product distance (MPD) is also large. To this end, a non-convex optimization problem is formulated and then solved by the convex-concave procedure (CCCP). Compared with the state-of-the-art literature, our proposed MD constellations lead to significant error performance enhancement over Rayleigh fading channels whilst maintaining almost the same performance over the Gaussian channels. To demonstrate their application, we also show that these MD constellations give rise to good codebooks in sparse code multiple access systems

A fluid-structure interaction study on a passively deformed fish fin

In this paper, the propulsive performance of a caudal peduncle-fin swimmer mimicking a bio-inspired robotic fish model is numerically studied using a fully coupled FSI solver. The model consists of a rigid peduncle and a flexible fin which pitches in a uniform flow. The flexible fin is modeled as a thin plate assigned with non-uniformly distributed stiffness. A finite volume method based in-house Navier-Stokes solver is used to solve the fluid equations while the fin deformation is resolved using a finite element code. The effect of the fin flexibility on the propulsive performance is investigated. The numerical results indicate that the compliance has a significant influence on the performance. Under the parameters studied in this paper, the medium flexible fin exhibits remarkable efficiency improvement as well as thrust augment, while the least flexible fin shows no obvious difference from the rigid one. However, for the most flexible fin, although the thrust production decreases sharply, the efficiency reaches the maximum value. It should be noted that by non-uniformly distributing the rigidity across the caudal fin, our model is able to replicate some fin deformation patterns observed in both the live fish and the experimental robotic fish