Optimizing Pilot Overhead for Ultra-Reliable Short-Packet Transmission

In this paper we optimize the pilot overhead for ultra-reliable short-packet transmission and investigate the dependence of this overhead on packet size and error probability. In particular, we consider a point-to-point communication in which one sensor sends messages to a central node, or base-station, over AWGN with Rayleigh fading channel. We formalize the optimization in terms of approximate achievable rates at a given block length, pilot length, and error probability. This leads to more accurate pilot overhead optimization. Simulation results show that it is important to take into account the packet size and the error probability when optimizing the pilot overhead.Comment: To be published on IEEE ICC 2017 Communication Theory Symposiu

Stochastic Qubits

A new concept of qubits is given by considering entanglement of ordinary quibits with quantum measuring devices (micro-detectors). They are called stochastic qubits since they are generalized coherent states used in the stochastic (phase space) quantum theory. Entanglement is realized through the coupling of angular momenta $l$ and $\sigma$, where the micro-detector has $l=0,1$ and the qubit spin is $\sigma=1/2$. In both cases, the stochastic qubit has total spin $J=1/2$ and is entangled only when $l=1$. In this case, Stochastic Bell states have been defined and teleportation has been studied. They resemble conventional ones. When the micro-detecors have only two states, Stochastic qudits have rather been used. Here, Stochastic Bell states have also been defined and teleportation is possible for special states only. In the last step of this teleportation, Bob will have to transform the qubit only, or the micro-detector only, to recover Alice state.Comment: This paper has been withdrawn by the author because of Projection measurement tacit usage (while generalized one should have been used

Classification and Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning

Radio emission from air showers enables measurements of cosmic particle kinematics and identity. The radio signals are detected in broadband Megahertz antennas among continuous background noise. We present two deep learning concepts and their performance when applied to simulated data. The first network classifies time traces as signal or background. We achieve a true positive rate of about 90% for signal-to-noise ratios larger than three with a false positive rate below 0.2%. The other network is used to clean the time trace from background and to recover the radio time trace originating from an air shower. Here we achieve a resolution in the energy contained in the trace of about 20% without a bias for $80\%$ of the traces with a signal. The obtained frequency spectrum is cleaned from signals of radio frequency interference and shows the expected shape.Comment: 20 pages, 13 figures, resubmitted to JINS

Exact BER Performance of Asynchronous MC-DS-CDMA over Fading Channels

In this contribution an accurate average Bit Error Rate (BER) formula is derived for MC-DS-CDMA in the context of asynchronous transmissions and random spreading sequences. We consider a flat Nakagami-m fading channel for each subcarrier. Our analysis is based on the Characteristic Function (CF) and does not rely on any assumption concerning the statistical behavior of the interference. We develop a new closed-form expression for the conditional CF of the inter-carrier interference and provide a procedure for calculating the exact BER expressed in the form of a single numerical integration. The accuracy of the Standard Gaussian Approximation (SGA) technique is also evaluated. Link-level results confirm the accuracy of the SGA for most practical conditions

Constitutional Law - Mootness - Personal Stake - Class Actions

The United States Supreme Court has held that an action brought on behalf of a class may be appealed upon expiration of the named plaintiffs substantive claim even though the class certification has been denied. United States Parole Commission v. Geraghty, 445 U.S. 388 (1980)

Photochemical harpoons: covalent labels for multi-protein complexes

The identification of the biomolecular interaction partners of small bioactive molecules is a fundamental problem in drug discovery and cell biology. This thesis describes the development of fluorescent chemical probes to identify the biomolecular targets of the known organophosphate toxin, phenyl saligenin phosphate (PSP), and the cardioprotective agent diazoxide. PSP is an organophosphate toxin that irreversibly inhibits hydrolase enzymes such as trypsin and chymotrypsin along with the common organophosphate target acetylcholine esterase. PSP is also suspected of affecting many other cell functions and may interact with a large number of cellular proteins. In this work phenyl saligenin phosphate has been synthesised and its inhibitory effect on the action of transglutaminase 2 (TGase2) demonstrated. Analogues of PSP containing an attached dansyl amide fluorescent group have been prepared and incubated with purified enzymes trypsin, chymotrypsin and TGase2. SDS-PAGE analysis demonstrates effective fluorescent labelling and a covalent interaction between the toxin analogue and the enzymes. The KATP channel opener, diazoxide displays marked cardioprotective effects and is reported to bind to mitochondrial KATP channels. However, the molecular structure of these channels is still largely unknown