Investigation of Costas Loop Synchronization Effect on BER Performance of Space Uplink Optical Communication System With BPSK Scheme

The Costas loop is the key technique of synchronous demodulation in the next generation of satellite optical communication systems. To better understand the Costas loop, the relationship between phase deviation of the Costas loop and bit error rate (BER) performance of a binary-phase-shift keying (BPSK) space uplink optical communication system is achieved.

Furthermore, the BER performance versus frequency deviation, zenith angle, data rate, and divergence angle are analyzed. Simulation results indicate that BER performances are not sensitive for parameters when the phase deviation of the Costas loop is designed with restriction of $pi/16$. These results are helpful for enhancing BER performance and the design of space optical communication systems.

Decentralized event-triggered average consensus for multi-agent systems in CPSs with communication constraints

The paper investigates decentralized event-triggered average consensus problem for multi-agent systems in cyber-physical systems (CPSs) with communication constraints. To reduce communicationburden and improve the communication efficiency of multi-agent systems in CPSs, event-trigger is distributed at subsystem/agent level. A multi-agent system is then modeled as a reduced dimension hybrid system by taking into account decentralized event-triggered mechanism, communication delays and data dropouts within one framework.

Some sufficient conditions for average consensus of each agent and an upper bound of communication delay and maximal allowable number of successive data dropouts (MANSD) are obtained, which can conveniently provide the relationship between the triggering parameters, communication constraints and the system stability. Specially, the quantitative relationship between the triggering parameters, MANSD and the system stability is derived. Finally, simulation results are given to illustrate the effectiveness of the proposed method.

The impact of integrated wireless and mobile communication technologies on the corporate world

This paper validates the progression and expected trends of integrated wireless and mobilecommunication technologies. Currently, integrated wireless and mobile communication technologies have allowed for high quality end-user experience with acceptable level of usage and efficiency in business organizations. Forthcoming mobile broadband life creates new norms and expectations for end-users from the next business generation, who can utilize integrated wireless and mobile technologies in their full potential.

Several scenarios from different domains illustrate the impact of integrated wireless and mobile communication technologies on the corporate world. The models and scenarios show that the power of integrated wireless and mobile technologies is certainly in several orders of magnitude greater than the simple sum of their separate individual impacts.

Communication opportunities in smart grids

The studies concentrate on the new generation electric power systems called smart grid for solution of energy management issues. An essential characteristic of the smart grid is the integration of efficient, reliable and secure communication networks to manage the complex power systems.

In this paper, thecommunication architectures in the power systems, including the communication technologies, network requirements, advantages and application challenges are studied. This study summarizes the current state of the communication networks in the smart grid.

Simple Clustering Methods for Multi-Hop Cooperative Device-to-Device Communication

This paper studies the gain that cooperative multi-hop transmission provides when used to boost the data rate in Device-to-Device (D2D) communication. Both D2D transmitter and receiver are located in the coverage area of the same Macro Base Station, who is in charge of the control signaling to construct the cooperative cluster(s) of low-cost Relay Nodes (RNs) that Decode-and-Forward information non-coherently from source to destination. Communication resources are divided into two or three equal orthogonal parts for two- and three-hop cooperative transmissions, respectively.

For the three-hop cooperative case, backward Interference Cancellation (IC) is also considered in the RNs of the first cluster to reduce multiplexing loss (using two orthogonal portions of communication resources instead of three). The end-to-end data rate of different multi-hop cooperative transmission strategies is studied for different clustering algorithms and measurement reports (i.e., SNR and SINR). Based on obtained performance results, it is possible to conclude that three-hop cooperative transmission with backward IC provides better performance than its two-hop counterpart.

Best Neighbor Communication in a Poisson Field of Nodes

The communication channel power gain to the nearest neighbor of a node in a wireless communicationnetwork is not necessarily the largest among all neighbors due to fading. The probability that the kth nearest neighbor of a node has the best communication channel with the highest power gain in a 2-D network with homogeneous Poisson distribution of nodes is derived for a general fading environment.

The result is specialized to the case where the communication links are modeled as generalized-gamma fading channels. The analytical results are verified and illustrated by computer simulations and numerical results. Some applications of the new theory are also presented. A novel criterion that represents the fading severity, i.e., the generalized amount of fading (GAF), is defined, and its value as an important measure for fading channels is justified.

Energy-Efficient Resource Allocation for Device-to-Device Underlay Communication

Device-to-device (D2D) communication underlaying cellular networks is expected to bring significant benefits for utilizing resources, improving user throughput, and extending the battery life of user equipment. However, the allocation of radio and power resources to D2D communication needs elaborate coordination, as D2D communication can cause interference to cellular communication.

In this paper, we study joint channel and power allocation to improve the energy efficiency of user equipments. To solve the problem efficiently, we introduce an iterative combinatorial auction algorithm, where the D2D users are considered bidders that compete for channel resources and the cellular network is treated as the auctioneer. We also analyze important properties of D2D underlaycommunication and present numerical simulations to verify the proposed algorithm.

FPGA-Based Implementation of Multiple Modes in Near Field Inductive Communication Using Frequency Splitting and MIMO Configuration

Conventional near field inductive wireless power transfer theory shows that systems suffer from splitting frequency behaviors when strong coupling condition exists between the transmitter and the receiver. However, this characteristic has not been explored for communication. Our analysis demonstrates that the splitting behaviour of frequency creates multiple frequencies that support inductive communication in MIMO configuration. As a result, we implement a binary chirp modulation on an FPGA and validate two channel communication using splitting. This paper introduces the use of chirp signals to spread data and excite inductive MIMO systems.

The simulation and experiment show that the splitting frequency depends on a quality factor and the flux coupling condition between the data source and receiver. In other words, the degree of mutual coupling defines the splitting mode. This paper proves that multi-channel communication using splitting can be used for data transmission. The results show that data rates of 50 Mbps or 69 Kbps can be achieved for each channel between the transmitters and receivers when the transmitter and receiver operate at the original resonant frequency of 13.56 MHz or 28 KHz, respectively and the distance between them varies from about 1 cm to 10 cm.

Design and realization of double-mode communication platform based on CVIS

With the rapidly development of economy, traffic congestion has become a bottleneck restricting of the development of the urban economy. As the core of future development and direction of intelligent transportation, the CVIS (Cooperative Vehicle Infrastructure System) is the key to solve the urban traffic congestion problems. And the wireless communication technology of high quality is the key point of research in CVIS. The work of this paper is to build the wireless communication platform of CVIS and research problem of information interaction between DSRC (Dedicated Short Range Communications) and WIFI (Wireless Fidelity) under environment of CVIS.

paper analyzes the application between DSRC and WIFI in CVIS and builds a wireless communication platform based on PCM-9562. Through the study of car-following model with single lane, this paper achieves data exchange between application and communication platform by using GPS information. Combined with MapX, thecommunication platform completes the real-time display of position, velocity and driving strategy. The result of test shows that double-mode communication platform based on CVIS can realize the real-time transmission of data effectively and assist driver to get the information of position and velocity from itself and other cars and finally provide effective reference information to the driver in the pattern of car-following.

Analyzing communication models for distributed thread-collaborative processors in terms of energy and time

Accelerated computing has become pervasive for increasing the computational power and energy efficiency in terms of GFLOPs/Watt. For application areas with highest demands, for instance high performance computing, data warehousing and high performance analytics, accelerators like GPUs or Intel’s MICs are distributed throughout the cluster. Since current analyses and predictions show that data movement will be the main contributor to energy consumption, we are entering an era ofcommunication-centric heterogeneous systems that are operating with hard power constraints. In this work, we analyze data movement optimizations for distributed heterogeneous systems based on CPUs and GPUs.

Thread-collaborative processors like GPUs differ significantly in their execution model from generalpurpose processors like CPUs, but available communication models are still designed and optimized for CPUs. Similar to heterogeneity in processing, heterogeneity in communication can have a huge impact on energy and time. To analyze this impact, we use multiple workloads with distinct properties regarding computational intensity and communication characteristics. We show for which workloads tailored communication models are essential, not only reducing execution time but also saving energy. Exposing the impact in terms of energy and time for communication-centric heterogeneous systems is crucial for future optimizations, and this work is a first step in this direction.