OPTIMAL TRAINING PARAMETERS FOR CONTINUOUSLY VARYING MIMO CHANNELS
Rights
Copyright © International Foundation for TelemeteringCollection Information
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.Abstract
To correctly demodulate a signal sent through a multiple-input multiple-output (MIMO) channel, a receiver may use training to learn the channel parameters. The choice of training parameters can significantly impact system performance. Training too often yields low throughput while training infrequently produces poor channel estimates and increased transmission errors. Previous work on optimal training parameters has focused on the block fading Rayleigh model. This work examines a more general case; finding the training parameters that maximize throughput for a continuously varying channel. Training parameters that maximize a lower bound on channel capacity are determined via simulation, and general guidelines are presented for selecting optimal training parameters.Sponsors
International Foundation for TelemeteringISSN
0884-51230074-9079
Additional Links
http://www.telemetry.org/Related items
Showing items related by title, author, creator and subject.
-
I. Development of Rapid Conductance-Based Protocols for Measuring Ion Channel Activity; II. Expression, Characterization, and Purification of the ATP-Sensitive, Inwardly-Rectifying K+ Channel, Kir6.2, and Ion Channel-Coupled Receptors(The University of Arizona., 2017)Ligand-gated and ligand-modulated ion channel (IC) sensors have received increased attention for their ability to transduce ligand-binding events into a readily measurable electrical signal. Ligand-binding to an IC modulates the ion flux properties of the channel in label-free manner, often with single-molecule sensitivity and selectivity. As a result, ICs are attractive sensing elements in biosensoring platforms, especially for ligands lacking optical (e.g. fluorescent) or electrochemical properties. Despite the growing number of available ligand-gated and ligand-modulated ICs and artificial lipid bilayer platforms for IC reconstitution, significant work remains in defining the analytical performance capabilities of IC sensors. Particularly, few studies have described platforms for making measurements with rapid temporal resolution and high sensitivity. In this work, we describe an artificial lipid bilayer platform which enables rapid measurement of ion channel activity, a key parameter for developing IC sensors suitable for studying biological events, e.g. single cell exocytosis (Chapter 2 and 3). Additionally, we developed expression, purification, and reconstitution protocols for Kir6.2, a model ligand-gated ion channel, for use in sensor development (Chapter 4). The final goal is to reconstitute ion channel-coupled receptors (ICCRs), G protein-coupled receptor-Kir6.2 fusion proteins, into artificial lipid bilayers to detect small molecules and hormones targeting GPCRs. Towards this goal, we characterized the expression and function of two ICCRs, M2-Kir and D2-Kir, in HEK293 cells (Chapter 5).
-
ADVANCE PRACTICAL CHANNEL SIMULATORS FOR LEO SATELLITE CHANNELS WITH SELECTIVE FADING AND DOPPLER SHIFTS(International Foundation for Telemetering, 2001-10)Dynamic hardware and software schemes for trajectory based simulation of LEO satellite channel are presented and evaluated. The simulation models are based on the practical LEO satellite channels and change dynamically with the trajectory using the latitude and longitude of the LEO satellite as input. The hardware simulator is consisted of a trajectory based selective fade generator, a trajectory based Doppler shifter, trajectory based time shadowing simulator and a standard channel for addition of noise, ACI and CCI. A FQPSK modulated signal is passed through a trajectory based dynamic fade generator and the spectrum is distorted. Then the resulting signal is exposed to a trajectory based dynamic Doppler Shifter, simulating the passage of the satellite overhead. Then the proper AWGN, ACI or CCI is added to the signal. At the final stage the signal is passed through a trajectory based time Shadowing simulator. The software simulator is a dynamic real time simulator written in MatLab and its structure is similar to the hardware simulator.
-
OBTAINING SUPERIOR PERFORMANCE FROM DUAL-CHANNEL RECEIVERS USING BEST-CHANNEL SELECTION(International Foundation for Telemetering, 2018-11)A Pre-Detection Maximal-Ratio Combiner (Pre-D MRC) provides optimal performance in the face of additive noise but sub-optimal and even potentially degraded performance in the face of other common channel impairments such as multipath. Using Data Quality Metric (DQM) information from the Pre-D MRC and its two input channels, a Best-Channel Selector (BCS) can correlate the three demodulated data streams and select the best available data on a bit-by-bit basis. Thus, the BCS can produce a single receiver output with optimal performance in additive noise and superior performance across all types of channel impairment – fulfilling the promise the Pre-D MRC cannot always keep. Further, since the BCS need only accommodate small and predictable latency differences between its inputs, its local performance may exceed that of an external source selector designed to handle seconds of delay between channels. This paper describes the BCS and presents performance results from several test scenarios.
