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In this paper, we consider a power-constrained signal-to-noise ratio (SNR)-optimal collaborative beamformer(OCB) design in highly-scattered environments. We show that its weights depend on non-local CSI (NLCSI), thereby hampering its implementation in a distributed fashion. Exploiting, the polychromatic (i.e., multi-ray) structure of scattered channels, we propose a novel distributed CB (DCB) design...
In this paper, we consider the problem of direction of arrival (DOA) estimation achieved by a distributed way in wireless sensors networks. The goal for each node is to detect targets based on its local information and that of its neighbors through some iteration. Classic estimation methods, such as maximum likelihood (ML) algorithm, are not suitable here because there is often a requirement of a...
Cognitive radio now-a-days has opened a new horizon for researchers to mitigate the up-growing demand for RF spectrum within our limited resources. The threshold plays very important role for sensing process in energy based detectors as it is widely used in CR network due to its fast performance and ability to perform without any prior knowledge or information. Conventional energy detectors has fixed...
Accurate spectrum sensing is very important for cognitive radio systems. In the cooperative spectrum sensing, the unreliable nodes will result in deterioration of detection performance. This paper focuses on the spectrum sensing in the case of unreliable nodes and proposes a weighted reliability cooperative spectrum sensing algorithm. In the algorithm, the global fusion center only chooses the cognitive...
Radio frequency (RF) based wireless charging and information transfer, also known as simultaneous wireless information and power transfer (SWIPT), is a new paradigm of green-energy wireless communications. In this work, we apply SWIPT to cooperative communication networks where each relay is equipped with an energy harvesting (EH) circuit to extract and convert the RF signal into useable energy for...
Software-defined sensor networks (SDSN) has appeared as a new networking paradigm that allows centralized management and control of networking devices programmably to increase network reliability. In this paper, we propose a joint routing and resource management algorithm that maximizes the system throughput for SDSN. We show that the formulated optimization problem can be proved convexifiable through...
Applying cognitive radio technologies to wireless sensor networks (WSNs) explores new possibilities for network architectures. The cognitive radio technology enables opportunistic access of unlicensed sensor nodes to licensed bands without influencing primary users (PUs). Spectrum sensing is a key technology to identify the presence of PUs. Benefit from the diversity of different sensors, Cooperative...
Local oscillators in direct conversion transceivers result in in-phase and quadrature-phase imbalance (IQI) which severely affects the performance of communication systems. In this work, we consider cognitive radio (CR) communication based on orthogonal frequency division multiplexing (OFDM) experiencing IQI at the receiver as well as at the transmitter. First, we derive an approximate expression...
Backscatter radio communication has become a newly emerging technique for low-rate, low-power and large-scale wireless sensor networks. As this promising technology enables a long-range communication for sensors with low power in a distributed area, it is desirable to support wireless powered communication networks (WPCNs) that experience doubly near-far problem. In a backscatter radio based WPCN,...
WSN received tremendous growth in research and industry applications. Convergecast is a communication technique commonly used in wireless sensor network applications in which data is collected in many to one i.e. from sensory nodes to sink node or base station. Fast and efficient data collection is important in convergecast routing. In this paper the performance of convergecast routing is evaluated...
In highly dense LTE networks, with the increased number of users requesting services in a cell, blocking will occur for some users. To deal with this, techniques for increasing the capacity of the cell must be adopted. Clustering nodes into small groups with low power will enable reusing the available frequency and thus expanding the capacity of the network. In this paper, clustering is implemented...
In this paper, we propose a non-cooperative, dynamic and extensive game model for routing in a wireless sensor network (WSN). We treat each sensor node as a player who has a strategy to choose from in order to find the route that meets certain objective functions. A multi-hop routing is performed concurrently between multiple source and multiple destination nodes considering signal-to-noise-interference...
Dynamic Spectrum Access (DSA) for secondary usage of underutilized radio spectrum is currently of great interest for radio regulatory authorities and for cellular network operators. However, the co-existence of multiple devices operating in the same bands, such as wireless microphones which also operate in TV bands, poses a challenge to DSA. Efficient and proactive spectrum sensing could prevent harmful...
Power consumption minimization in Wireless Sensor Networks (WSNs) has been discussed extensively in literature. Usually, a central node (a receiver) in WSNs consumes large amount of power due to the necessity to decode every received packet regardless of the fact that the transmission may suffer from packets collision. Current collision detection mechanisms in WSNs have largely been revolving around...
This paper presents a Sequential Monte Carlo (SMC) method for the localization of an unknown number of RF sources with unknown transmit power. The proposed method uses Received Signal Strength (RSS) measurements taken by a network of static sensors and a guided moving sensor. A constraint is imposed on the number of trips that the moving sensor is allowed to make for the confirmation of the existence...
Wireless Sensor Networks (WSNs) have been considered one of the very promising technologies for the implementation of smart grid. WSN-based smart grid communication protocols have been focused on extending the node's lifetime which is heavily depends on the energy consumption of the node. Since wireless sensors are typically deployed in an ad hoc fashion and operate off of a limited energy source,...
This paper addresses simulations and design of an asynchronous integrated ultra wideband impulse radio transmitter and receiver suitable for low-power miniaturized wireless sensors. This paper first presents software simulations for asynchronous transmission over noisy channels using FSK-OOK modulation, which demonstrates that the proposed architecture is capable to communicate reliably at moderate...
In the preceding works on the tree networks composed of binary symmetric channel (BSC), the path diversity effects are discussed in [8]–[10]. In [9], it is shown that the error probability of majority decision at the fusion center is almost constant regardless of network size. This constant property of error probability has not been discussed theoretically. In this paper, a new approach of signal-to-noise...
We present a novel beamforming technique for multi-user indoor wireless communications called regularized time-reversal (RTR). A comparison with other time-reversal techniques is provided with respect to bit error rate and spatial focusing performance in mm-wave massive MIMO systems. We verify that the proposed technique can be used for space-division multiple access in such scenarios.
This paper is concerned with distributed estimation in a Gaussian sensor network under the semi-orthogonal multiple access channel (MAC). Under the total transmit power constraint, an improved power allocation scheme among sensors is investigated. In the semi-orthogonal MAC, since sensors are divided into groups, the issue of power allocation can be separated into two tasks: power allocation within...
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