Showing papers on "Data transmission published in 2011"

Transmission with Energy Harvesting Nodes in Fading Wireless Channels: Optimal Policies

Abstract: Wireless systems comprised of rechargeable nodes have a significantly prolonged lifetime and are sustainable. A distinct characteristic of these systems is the fact that the nodes can harvest energy throughout the duration in which communication takes place. As such, transmission policies of the nodes need to adapt to these harvested energy arrivals. In this paper, we consider optimization of point-to-point data transmission with an energy harvesting transmitter which has a limited battery capacity, communicating in a wireless fading channel. We consider two objectives: maximizing the throughput by a deadline, and minimizing the transmission completion time of the communication session. We optimize these objectives by controlling the time sequence of transmit powers subject to energy storage capacity and causality constraints. We, first, study optimal offline policies. We introduce a directional water-filling algorithm which provides a simple and concise interpretation of the necessary optimality conditions. We show the optimality of an adaptive directional water-filling algorithm for the throughput maximization problem. We solve the transmission completion time minimization problem by utilizing its equivalence to its throughput maximization counterpart. Next, we consider online policies. We use stochastic dynamic programming to solve for the optimal online policy that maximizes the average number of bits delivered by a deadline under stochastic fading and energy arrival processes with causal channel state feedback. We also propose near-optimal policies with reduced complexity, and numerically study their performances along with the performances of the offline and online optimal policies under various different configurations.

Transmission with Energy Harvesting Nodes in Fading Wireless Channels: Optimal Policies

Abstract: Wireless systems comprised of rechargeable nodes have a significantly prolonged lifetime and are sustainable. A distinct characteristic of these systems is the fact that the nodes can harvest energy throughout the duration in which communication takes place. As such, transmission policies of the nodes need to adapt to these harvested energy arrivals. In this paper, we consider optimization of point-to-point data transmission with an energy harvesting transmitter which has a limited battery capacity, communicating in a wireless fading channel. We consider two objectives: maximizing the throughput by a deadline, and minimizing the transmission completion time of the communication session. We optimize these objectives by controlling the time sequence of transmit powers subject to energy storage capacity and causality constraints. We, first, study optimal offline policies. We introduce a directional water-filling algorithm which provides a simple and concise interpretation of the necessary optimality conditions. We show the optimality of an adaptive directional water-filling algorithm for the throughput maximization problem. We solve the transmission completion time minimization problem by utilizing its equivalence to its throughput maximization counterpart. Next, we consider online policies. We use stochastic dynamic programming to solve for the optimal online policy that maximizes the average number of bits delivered by a deadline under stochastic fading and energy arrival processes with causal channel state feedback. We also propose near-optimal policies with reduced complexity, and numerically study their performances along with the performances of the offline and online optimal policies under various different configurations.

Waveform Design and Signal Processing Aspects for Fusion of Wireless Communications and Radar Sensing

Abstract: Since traditional radar signals are “unintelligent,” regarding the amount of information they convey on the bandwidth they occupy, a joint radar and wireless communication system would constitute a unique platform for future intelligent transportation networks effecting the essential tasks of environmental sensing and the allocation of ad-hoc communication links, in terms of both spectrum efficiency and cost-effectiveness. In this paper, approaches to the design of intelligent waveforms, that are suitable for simultaneously performing both data transmission and radar sensing, are proposed. The approach is based on classical phase-coded waveforms utilized in wireless communications. In particular, requirements that allow for employing such signals for radar measurements with high dynamic range are investigated. Also, a variety of possible radar processing algorithms are discussed. Moreover, the applicability of multiple antenna techniques for direction-of-arrival estimation is considered. In addition to theoretical considerations, the paper presents system simulations and measurement results of complete “RadCom” systems, demonstrating the practical feasibility of integrated communications and radar applications.

A Review on Terahertz Communications Research

Abstract: The increasing demand of unoccupied and unregulated bandwidth for wireless communication systems will inevitably lead to the extension of operation frequencies toward the lower THz frequency range. Higher carrier frequencies will allow for fast transmission of huge amounts of data as needed for new emerging applications. Despite the tremendous hurdles that have to be overcome with regard to sources and detectors, circuit and antenna technology and system architecture to realize ultrafast data transmission in a scenario with extensive transmission loss, a new area of research is beginning to form. In this article we give an overview of emerging technologies and system research that might lead to ubiquitous THz communication systems in the future.

Wireless High-Speed Data Transmission with Phosphorescent White-Light LEDs

Abstract: Wireless transmission exceeding 100 Mbit/s is demonstrated using a phosphorescent white-light LED in a lighting-like scenario. The data rate was achieved by detecting the blue part of the optical spectrum and applying discrete multi-tone modulation.

Wireless power and data transmission and reception system

Abstract: Provided are an apparatus and a method for simultaneously transmitting and receiving a wireless power and data. A wireless power and data transmission apparatus may include: a modulator configured to modulate first data by adjusting a power amount to be charged in one or more capacitors; a switch controller configured to control one or more switches corresponding the one or more capacitors based on a charging time to charge the one or more capacitors and a transfer time to transfer a power charged in the one or more capacitors and the modulated first data to a source resonator; and a transmitter configured to transmit the charged power and the modulated first data using the source resonator.

Performing Coordinated Multipoint Transmission and Reception (CoMP) in a Wireless Communication Network

Abstract: The present invention relates to the field of coordinated multipoint transmission and reception (CoMP) in wireless communication networks, in particular to methods, an apparatus, and a network node for use in performing coordinated data transmissions in a wireless communication network. A method for use in a network node for coordinating data transmission to user equipments in a wireless communication network, wherein the wireless communication network comprising at least two access nodes each access node having one or more antennas and being arranged to perform coordinated data transmissions to user equipments is provided. The method comprising: obtaining signal strength values associated with the one or more antennas of the at least two access nodes for a number of user equipments; arranging the number of user equipments into one or more groups of user equipments and associating each of the one or more groups of user equipments with a sub-set of the one or more antennas of the at least two access nodes based on the obtained signal strength values; and coordinating data transmission performed by the at least two access nodes to each of the one or more groups of user equipments based on the subset of the one or more antennas of the at least two access nodes associated with each group of user equipments, respectively.

Overhead electric power line fault real-time monitoring system

Abstract: The present utility model relates to an overhead electric power line fault real-time monitoring system. The system comprises a wireless type electric power line fault indication sensor, a single mode base station, a dual mode base station, and a monitoring center. The wireless type electric power line fault indication sensor is provided with a first RF transmit-receive module, the single mode base station is provided with a second RF transmit-receive module, and the dual mode base station is provided with a third RF transmit-receive module and a GSM transmit-receive module. The wireless type electric power line fault indication sensor is respectively connected with the single mode base station and the dual mode base station in a data transmission way, the single mode base station is connected with the dual mode base station in a data transmission way, the GSM transmit-receive module is connected with an operator communication center in a data transmission way, and the operator communication center is connected with the monitoring center in a data transmission way. By adopting the system, the working state of the electric power line can be monitored in real time, fault positions can be accurately and rapidly determined, and the generated communication costs are cheap.

Aligning data transfer to optimize connections established for transmission over a wireless network

Abstract: Systems and methods for aligning data transfer to optimize connections established for transmission over a wireless network are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, for aligning data transfer to a mobile device to optimize connections made by the mobile device in a cellular network. The method includes batching data received in multiple transactions directed to a mobile device for transmission to the mobile device over the cellular network such that a wireless connection need not be established with the mobile device every time each of the multiple transactions occurs. For example, the data received in the multiple transactions for the mobile device can be sent to the mobile device, in a single transaction over a single instantiation of wireless network connectivity at the mobile device.

Cognitive Transmissions with Multiple Relays in Cognitive Radio Networks

Abstract: In cognitive radio networks, each cognitive transmission process typically requires two phases: the spectrum sensing phase and data transmission phase. In this paper, we investigate cognitive transmissions with multiple relays by jointly considering the two phases over Rayleigh fading channels. We study a selective fusion spectrum sensing and best relay data transmission (SFSS-BRDT) scheme in multiple-relay cognitive radio networks. Specifically, in the spectrum sensing phase, only the initial spectrum sensing results, which are received from the cognitive relays and decoded correctly at a cognitive source, are selected and used for fusion. In the data transmission phase, only the best relay is utilized to assist the cognitive source for data transmissions. Under the constraint of satisfying a required probability of false alarm of spectrum holes (for the protection of the primary user), we derive an exact closed-form expression of the spectrum hole utilization efficiency for the SFSS-BRDT scheme, which is used as a measure to quantify the percentage of spectrum holes utilized by the cognitive source for its successful data transmissions. For the comparison purpose, we also examine the spectrum hole utilization efficiency for a fixed fusion spectrum sensing and best relay data transmission (FFSS-BRDT) scheme, where all the initial spectrum sensing results are used for fusion without any refined selection. Numerical results show that, under a target probability of false alarm of spectrum holes, the SFSS-BRDT scheme outperforms the FFSS-BRDT scheme in terms of the spectrum hole utilization efficiency. Moreover, the spectrum hole utilization efficiency of the SFSS-BRDT scheme always improves as the number of cognitive relays increases, whereas the FFSS-BRDT scheme's performance improves initially and degrades eventually after a critical number of cognitive relays. It is also shown that a maximum spectrum hole utilization efficiency can be achieved through an optimal allocation of the time durations between the spectrum sensing and data transmission phases for both the FFSS-BRDT and SFSS-BRDT schemes.

Method and apparatus for providing antenna diversity in a wireless communication system

Abstract: Transmission schemes that can flexibly achieve the desired spatial multiplexing order, spatial diversity order, and channel estimation overhead order are described. For data transmission, the assigned subcarriers and spatial multiplexing order (M) for a receiver are determined, where M≧1. For each assigned subcarrier, M virtual antennas are selected from among V virtual antennas formed with V columns of an orthonormal matrix, where V≧M. V may be selected to achieve the desired spatial diversity order and channel estimation overhead order. Output symbols are mapped to the M virtual antennas selected for each assigned subcarrier by applying the orthonormal matrix. Pilot symbols are also mapped to the V virtual antennas. The mapped symbols are provided for transmission from T transmit antennas, where T≧V. Transmission symbols are generated for the mapped symbols, e.g., based on OFDM or SC-FDMA. Different cyclic delays may be applied for the T transmit antennas to improve diversity.

Delay Performance Analysis for Supporting Real-Time Traffic in a Cognitive Radio Sensor Network

Abstract: Traditional wireless sensor networks (WSNs) working in the license-free spectrum suffer from uncontrolled interference as the license-free spectrum becomes increasingly crowded. Designing a WSN based on cognitive radio can be promising in the near future in order to provide data transmissions with quality of service requirements. In this paper we introduce a cognitive radio sensor network (CRSN) and analyze its performance for supporting real-time traffic. The network opportunistically accesses vacant channels in the licensed spectrum. When the current channel becomes unavailable, the devices can switch to another available channel. Two types of channel switchings are considered, in periodic switching (PS) the devices can switch to a new channel only at the beginning of each channel switching (CS) interval, while in triggered switching (TS) the devices can switch to a new channel as soon as the current channel is lost. We consider two types of real-time traffic, i) a burst of packets are generated periodically and the number of packets in each burst is random, and ii) packet arrivals follow a Poisson process. We derive the average packet transmission delay for each type of the traffic and channel switching mechanisms. Our results indicate that real-time traffic can be effectively supported in the CRSN with small average packet transmission delay. For the network using PS, packets with the Poisson arrivals experience longer average delay than the bursty arrivals; while for the network using TS, packets with the bursty arrivals experience longer average delay.

Breath: An Adaptive Protocol for Industrial Control Applications Using Wireless Sensor Networks

Abstract: An energy-efficient, reliable and timely data transmission is essential for Wireless Sensor Networks (WSNs) employed in scenarios where plant information must be available for control applications. To reach a maximum efficiency, cross-layer interaction is a major design paradigm to exploit the complex interaction among the layers of the protocol stack. This is challenging because latency, reliability, and energy are at odds, and resource-constrained nodes support only simple algorithms. In this paper, the novel protocol Breath is proposed for control applications. Breath is designed for WSNs where nodes attached to plants must transmit information via multihop routing to a sink. Breath ensures a desired packet delivery and delay probabilities while minimizing the energy consumption of the network. The protocol is based on randomized routing, medium access control, and duty-cycling jointly optimized for energy efficiency. The design approach relies on a constrained optimization problem, whereby the objective function is the energy consumption and the constraints are the packet reliability and delay. The challenging part is the modeling of the interactions among the layers by simple expressions of adequate accuracy, which are then used for the optimization by in-network processing. The optimal working point of the protocol is achieved by a simple algorithm, which adapts to traffic variations and channel conditions with negligible overhead. The protocol has been implemented and experimentally evaluated on a testbed with off-the-shelf wireless sensor nodes, and it has been compared with a standard IEEE 802.15.4 solution. Analytical and experimental results show that Breath is tunable and meets reliability and delay requirements. Breath exhibits a good distribution of the working load, thus ensuring a long lifetime of the network. Therefore, Breath is a good candidate for efficient, reliable, and timely data gathering for control applications.

40 Gb/s W-band (75–110 GHz) 16-QAM radio-over-fiber signal generation and its wireless transmission

Abstract: 40-Gb/s W-band 16-QAM radio-over-fiber signal is optically synthesized using dual-polarization QPSK modulator. Its wireless transmission within FEC limit is demonstrated with optical self-heterodyne detection and digital signal processing.

Combining Illumination Dimming Based on Pulse-Width Modulation With Visible-Light Communications Based on Discrete Multitone

Abstract: In the field of indoor wireless networks, visible-light communications is garnering increasing attention. One of the type of emitters used in this technology is white light-emitting diodes, which can synergistically provide both illumination and data transmission. Discrete multitone modulation is attractive for visible-light communications. One of the issues to be addressed in these synergetic use cases is how to incorporate light dimming while not corrupting the communication link. In this paper, the performance of a visible-light communication system combining pulse-width modulation for dimming and discrete multitone for data transmission was investigated. Performance indicators were addressed, i.e., the signal-to-interference ratio due to dimming and the achievable bit-error ratio in the absence of additional noise. By aid of simulations it was shown that practical communication is only feasible when the line rate of the dimming modulation is at least twice the frequency assigned to the largest multitone subcarrier frequency. The results demonstrate that under this constraint and when using a suitably modified demodulation scheme, dimming does not influence the data transmission.

Optimal Channel Access Management with QoS Support for Cognitive Vehicular Networks

Abstract: We consider the problem of optimal channel access to provide quality of service (QoS) for data transmission in cognitive vehicular networks. In such a network, the vehicular nodes can opportunistically access the radio channels (referred to as shared-use channels) which are allocated to licensed users. Also, they are able to reserve a channel for dedicated access (referred to as exclusive-use channel) for data transmission. A channel access management framework is developed for cluster-based communication among vehicular nodes. This framework has three components: opportunistic access to shared-use channels, reservation of exclusive-use channel, and cluster size control. A hierarchical optimization model is then developed for this framework to obtain the optimal policy. The objective of the optimization model is to maximize the utility of the vehicular nodes in a cluster and to minimize the cost of reserving exclusive-use channel while the QoS requirements of data transmission (for vehicle-to-vehicle and vehicle-to-roadside communications) are met, and also the constraint on probability of collision with licensed users is satisfied. This hierarchical optimization model comprises of two constrained Markov decision process (CMDP) formulations - one for opportunistic channel access, and the other for joint exclusive-use channel reservation and cluster size control. An algorithm is presented to solve this hierarchical optimization model. Performance evaluation results show the effectiveness of the optimal channel access management policy. The proposed optimal channel access management framework will be useful to support mobile computing and intelligent transportation system (ITS) applications in vehicular networks.

Apparatus for power wireless transfer between two devices and simultaneous data transfer

Abstract: A system for the wireless transfer of power includes a first device connected to a power supply source and provided with a first resonant circuit at a first frequency, a second device comprising at least one battery, provided with a second resonant circuit at said first frequency, arranged at a distance smaller than the wavelength associated with said first frequency and not provided with wires for the electrical connection with said first device. The first device is adapted to transfer a first signal representing the power to be sent to the second device for charging said at least one battery and comprises means adapted to modulate the frequency of said first signal for transferring data from the first device to the second device simultaneously with the power transfer. The second device comprises means adapted to demodulate the received signal, corresponding to the first signal sent from the first device, to obtain the transmitted data.

Reference signal reception and channel state information determination for multiple nodes in a wireless communication network

Abstract: Techniques for receiving reference signals from multiple nodes and determining channel state information (CSI) for the nodes are disclosed. A user equipment (UE) may determine and report CSI for the multiple nodes to support data transmission to the UE. The nodes may transmit reference signals based on different configurations. The configuration for each node may indicate when, where, and how the node transmits its reference signal. The UE may determine CSI for different nodes and/or different combinations of nodes based on the reference signals transmitted by these nodes as well as an indication of which subframes to use to determine each CSI reported by the UE. The UE may report different CSIs for different subframes and may receive data transmission sent by a single node or a combination of nodes based on the reported CSIs.

Hardware Implementation of EMD Using DSP and FPGA for Online Signal Processing

Abstract: This paper combines a digital signal processor (DSP) and a field programmable gate array (FPGA) to realize the online empirical mode decomposition (EMD)-based signal processing system. The EMD algorithm is a novel signal analysis technique, decomposing signals into a series of intrinsic mode functions. First, the EMD algorithm is implemented in the DSP, named the EMD processor, which has the ability to eliminate noise from the original signal. Next, in order to process the online sequential signal, this paper proposes and implements pipeline and data transfer controllers in the FPGA, called the data processing flow processor. Then, the data processing flow processor coordinates the EMD processor, analog-to-digital converter, and digital-to-analog converter module boards. Finally, this paper presents a prototype of the online EMD-based electrocardiogram denoise system to verify the features of the proposed architecture. The emulations and experimental results demonstrate the effectiveness of the presented system as expected.

Superimposed Training Based Channel Estimation for OFDM Modulated Amplify-and-Forward Relay Networks

Abstract: In this paper, we consider the channel estimation for the classical three-node relay networks that employ the amplify-and-forward (AF) transmission scheme and the orthogonal frequency division multiplexing (OFDM) modulation. We propose a superimposed training strategy that allows the destination node to separately obtain the channel information of the source→relay link and the relay→destination link. Specifically, the relay superimposes its own training signal over the received one before forwarding it to the destination. The proposed training strategy can be implemented within two transmission phases and is thus compatible with the two-phase data transmission scheme, i.e., the training can be embedded into data transmission. We also derive the Cramer-Rao bound for the random channel parameters, from which we compute the optimal training sequence as well as the optimal power allocation. Since the optimal minimum mean square error (MMSE) estimator and the maximum a posteriori (MAP) estimator cannot be expressed in closed-form, we propose to first obtain the initial channel estimates from the low complexity linear estimators, e.g., linear minimum mean-square error (LMMSE) and least square (LS) estimators, and then resort to the iterative method to improve the estimation accuracy. Simulation results are provided to corroborate the proposed studies.

Method for harq and link adaptation of device to device link in direct communication between user equipments and relaying by user equipment

Abstract: Provided is a method of processing hybrid automatic repeat request (HARQ) and adaptive transmission of a device-to-device (D2D) link. In the method, an operation method of user equipment (UE) includes (a) receiving an initial transmission mode (TM) and transmission power for the D2D link from a base station, and performing data transmission through the D2D link, (b) determining, at the UE, a TM and transmission power of a succeeding subframe, or receiving a TM control value and a transmission power control value from counterpart UE of the D2D link and determining the TM and the transmission power of the succeeding subframe, and (c) performing the data transmission to the counterpart UE using the determined TM and transmission power. Here, (b) and (c) are repeated.

Data transmission method and device in wireless communication system

Abstract: A data transmission method and device are provided in a wireless communication system with user equipment (UE). A UE transmits uplink data through sounding reference signals (SRS) and a physical uplink shared channel (PUSCH) in a SRS subframe. A single carrier-frequency division multiple access (SC-FDMA) symbol allocated to said SRS and the SC-FDMA symbol do not overlap within said SRS subframe.

Data transmission method for HSDPA

Abstract: In the data transmission method of an HSDPA system according to the present invention, a transmitter transmits Data Blocks each composed of one or more data units originated from a same logical channel, and a receiver receives the Data Block through a HS-DSCH and distributes the Data Block to a predetermined reordering buffer. Since each Data Block is composed of the MAC-d PDUs originated from the same logical channel, it is possible to monitor the in-sequence delivery of the data units, resulting in reduction of undesirable queuing delay caused by logical channel multiplexing.

Bursty impulse noise detection by compressed sensing

Abstract: Impulse noise (IN) is one of the major impairments for data transmission over power lines. For power line communications (PLC) systems with bandwidths in the high kHz to MHz range, IN occurs in bursts. As long as those bursts are sufficiently short compared to a signal-processing (e.g. coding) frame, there is hope to successfully mitigate IN. In this paper, we introduce a new IN mitigation technique that is based on the application of block-based compressed sensing (CS). It makes use of null-subcarriers in PLC orthogonal frequency division multiplexing (OFDM) transmission systems and the burst structure of IN to detect the location and the values of IN samples in the received signal. We also devise a semi-analytical error-rate performance evaluation for coded OFDM over IN channels, which allows insights into how CS-based IN detection can be used for improved reliability of transmission. Numerical results for typical PLC transmission settings demonstrate the efficacy of the proposed application of CS for IN detection.

Signal transmission device, electronic device, and signal transmission method

Abstract: A signal transmission device includes: at least one of a first communication device that transmits a control signal as a wireless signal and a second communication device that receives the wireless signal transmitted from the first communication device to reproduce the control signal, wherein the wireless signal for the control signal is transmitted separately from a wireless signal for a transmission subject signal which is transmitted between a third communication device and a fourth communication device.

Wireless power and data transmission strategies for next-generation capsule endoscopes

Abstract: Capsular endoscopy is becoming increasingly popular as an alternative to traditional gastro-intestinal (GI) examination techniques. However, the breakthrough of these devices is hindered by the limited amount of power that can be stored in a tiny pill. Most commercial devices use two watch batteries that can only provide an average power of 25 mW for about 6 h, certainly not sufficient for advanced robotic features. A dedicated inductive powering system, operating at 1 MHz to limit the human body absorption, has been developed which was proven to support the transfer of over 300 mW. The system relies on a condensed set of orthogonal ferrite coils, embedded in the capsule, and an external unit based on a Helmholtz coil driven by a class E amplifier. Control data can be sent through the inductive link by modulating the power carrier, whereas a dedicated high data rate RF link is used to transfer the images from the capsule to the base station. Besides evaluating the compatibility with radio transmission, several demonstrators were assembled combining the wireless powering system with various locomotion strategies and LED illumination. This paper describes the design and implementation of the inductive powering system, its combination with data transmission techniques and the testing activity with other capsule-dedicated modules.

Faster-than-Nyquist and beyond: how to improve spectral efficiency by accepting interference

Abstract: (100 Word Limit): Shannon theory explains that orthogonal signaling with Gaussian inputs achieves capacity on the bandlimited AWGN channel. Hence, for many years, communication systems for quasi-static channels have been designed based on orthogonal signaling. However, when low-order constellations are used, performance can be considerably improved by giving up the orthogonality, thus accepting interference. Faster-than-Nyquist signaling is an example of this paradigm. We describe a new information-theoretic approach to the more general technique of time-frequency packing and we show how it translates into practical design rules. Presenter Bio (100 Word Limit): Giulio Colavolpe is an Associate Professor at the University of Parma, Italy. His main research interests include digital transmission theory, adaptive signal processing, channel coding and information theory. He is also co-author of the book Detection Algorithms for Wireless Communications, with Applications to Wired and Storage Systems (New York: John Wiley & Sons, 2004). He is currently serving as an Editor for the IEEE Transactions on Wireless Communications and as an Executive Editor for the European Transactions on Telecommunications.