Coded DS-CDMA Systems with Iterative Channel Estimation and no Pilot Symbols

In this paper, we describe direct-sequence code-division multiple-access (DS-CDMA) systems with quadriphase-shift keying in which channel estimation, coherent demodulation, and decoding are iteratively performed without the use of any training or pilot symbols. An expectation-maximization channel-estimation algorithm for the fading amplitude, phase, and the interference power spectral density (PSD) due to the combined interference and thermal noise is proposed for DS-CDMA systems with irregular repeat-accumulate codes. After initial estimates of the fading amplitude, phase, and interference PSD are obtained from the received symbols, subsequent values of these parameters are iteratively updated by using the soft feedback from the channel decoder. The updated estimates are combined with the received symbols and iteratively passed to the decoder. The elimination of pilot symbols simplifies the system design and allows either an enhanced information throughput, an improved bit error rate, or greater spectral efficiency. The interference-PSD estimation enables DS-CDMA systems to significantly suppress interference.Comment: To appear, IEEE Transactions on Wireless Communication

Sorption Studies of Synthetically Modified Carbon Nanomaterials

The level of risk originating from toxic (heavy) metals in the environment and ecological systems is continuously escalating due to our imprudent development of mineral resources such as coal and gold. For example, selenium as one of the major components in coal has contaminated surface and groundwater sources, and represents a threat to human and ecosystem health accumulation in organisms known as selenosis. Arsenic, like selenium, has also a negative effect to human beings, so called "arsenicosis" if it is accumulated in an organism through dietary pathways. Therefore, these elements have threatened waterways by contaminating surface and groundwater sources, and the WHO has established the drinking water quality guideline as 10 ppb for selenium and arsenic. The development of surface modified carbon nano-materials was motivated by considering how toxic metal species such as selenium and arsenic can be effectively removed from aquatic environments such as mineral tailings ponds found at mine sites. The materials design strategy employed herein hypothesizes of the incorporation of Lewis acid-base sites by the preparation of surface modified carbon nano-material with magnetite (magnetite composite). The resulting composite materials were anticipated to have variable π-π interactions and H-bonding between (non-)metals and ligands. These novel composite sorbents were evaluated for sorptive removal of selenium and arsenic species in aqueous solution at variable conditions. Selenium and arsenic have variable adsorption affinity onto the surface of magnetite (iron oxide) and its composites and goethite (iron oxyhydrate) in aqueous solution. The sorptive properties of these materials were correlated to the synthetic strategy as evidenced by the characterization of these minerals and their adsorbent properties. The adsorptive properties were evaluated by comparing the adsorption of inorganic selenium species with various adsorbents (magnetite, magnetite composites, activated carbon, and goethite) through adsorption kinetics and at equilibrium conditions. A novel “in situ” kinetic set-up for this experiment was developed using a non-magnetic stirrer device with a semi-permeable filtration barrier. The analytical measurement of selenium uptake was achieved using hydride generation atomic absorption spectroscopy. An arylarsenical (roxarsone) in aqueous solution was removed by using the same adsorbents used for selenium sorption and using a novel one-pot kinetic experiment with a non-magnetic stirrer and a dialysis-based tubing filter. Determination of roxarsone uptake was evaluated with UV-vis spectroscopy. This study showed the prepared magnetite composites might be excellent adsorbents for removing organic (aryl) and inorganic forms of Se and As chemical species in aqueous solution. The composite nature of the composite adsorbents suggests their potential as dual function sorbents due to their affinity toward organic (aryl) and inorganic anion species. In the occurrence of iron leaching, it was attenuated at low temperatures for the composite materials; whereas, greater leaching occurred above room temperature due to the increased thermal breakdown of magnetite particles in the pores or on the surface of activated carbon. In addition to the aforementioned tunable surface reactivity and surface area, magnetite composites have magnetic susceptibility properties that enable physical separation of adsorbents in water treatment processes by employing an electro-magnet to induce phase separation

Spreading Sequence System for Full Connectivity Relay Network

Fully connected uplink and downlink fully connected relay network systems using pseudo-noise spreading and despreading sequences subjected to maximizing the signal-to-interference-plus-noise ratio. The relay network systems comprise one or more transmitting units, relays, and receiving units connected via a communication network. The transmitting units, relays, and receiving units each may include a computer for performing the methods and steps described herein and transceivers for transmitting and/or receiving signals. The computer encodes and/or decodes communication signals via optimum adaptive PN sequences found by employing Cholesky decompositions and singular value decompositions (SVD). The PN sequences employ channel state information (CSI) to more effectively and more securely computing the optimal sequences

The Polarizable Charge Equilibration Model for Transition-Metal Elements

The polarizable charge equilibration (PQEq) method was developed to provide a simple but accurate description of the electrostatic interactions and polarization effects in materials. Previously, we optimized four parameters per element for the main group elements. Here, we extend this optimization to the 24 d-block transition-metal (TM) elements, columns 4–11 of the periodic table including Ti–Cu, Zr–Ag, and Hf–Au. We validate the PQEq description for these elements by comparing to interaction energies computed by quantum mechanics (QM). Because many materials applications involving TM are for oxides and other compounds that formally oxidize the metal, we consider a variety of oxidation states in 24 different molecular clusters. In each case, we compare interaction energies and induced fields from QM and PQEq along various directions. We find that the original χ and J parameters (electronegativity and hardness) related to the ionization of the atom remain valid; however, we find that the atomic radius parameter needs to be close to the experimental ionic radii of the transition metals. This leads to a much higher spring constant to describe the atomic polarizability. We find that these optimized parameters for PQEq provide accurate interaction energies compared to QM with charge distributions that depend in a reasonable way on the coordination number and oxidation states of the transition metals. We expect that this description of the electrostatic interactions for TM will be useful in molecular dynamics simulations of inorganic and organometallic materials