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In this papers we address the optimal power allocation problem in a distributed passive radar sensor network system, where closely located nodes are capable of distributed beamforming. In this setup, the network of sensor nodes is viewed as a combination of node clusters, where each cluster is capable of time synchronization, and coordinated transmission. The goal of the network is to provide a reliable...
This paper aims at maximizing the sum rate of secondary users (SUs) in Orthogonal Frequency Division Multiplexing (OFDM)-based Heterogeneous Cognitive Radio (CR) Networks by considering some practical limitations such as various traffic demands of SUs, interference constraint and imperfect spectrum sensing. The CR system operates in a slotted mode, in which the SUs have no power supplies and harvest...
Among the many problems faced in the world of wireless Technology, the most significant one is spectrum scarcity. In terms of pure facts, the TRAI auction of spectrum bands scheduled in 2016 will generate a base price of 5.36 Lakh crores which is more than twice the revenue of major telecom providers which is around 2.5 lakh crores. This Paper proposes an algorithm which guides efficient utilization...
The increasing use of interactive technologies, digital media, and dynamic content in smart spaces such as libraries and museums is improving the user experience substantially. In well-designed learning spaces, digital content can itself become a service, possibly with creative and social output to interact with users. In this paper we study the quantitative modeling of the Quality of Experience (QoE)...
Recently there have been numerous studies exploring the benefits of the coalition formation in a cognitive radio network and it has been shown that coalition formation tends to improve the performance of cognitive radio networks. In this paper, we use the concepts from matching theory to form coalitions of varying size among cognitive radio users for cooperative spectrum sensing under target detection...
This paper focuses on the problem of fault-tolerant control of spatially distributed systems modeled by parabolic PDEs with networked sensors and actuators and actuator faults. Based on a suitable finite-dimensional model that captures the dominant dynamics of the infinite-dimensional system, an event-triggered networked control system that enforces closed-loop stability with minimal sensor-controller...
In this paper, a distributed fair algorithm is proposed to address the resource allocation problem in the cognitive femtocell network. The cognitive functionalities equipped in femtocells enable us to effectively identify the qualified resource blocks (RBs), thus we can mitigate inter-cell interference. By exploiting the satisfaction degree and the channel state difference, the proposed distributed...
The optimal cost allocation problem is proposed for centralized and decentralized detection systems in the presence of cost constrained measurements, where the aim is to minimize the probability of error of a given detection system under a total cost constraint. The probability of error expressions are obtained for centralized and decentralized detection systems, and the optimal cost allocation strategies...
In this work, we consider an underlay cognitive radio networks where the secondary transmitter transmits signal with power based on sensing result of the signal power transmitted by the primary transmitter. To improve the signal quality of the secondary transmission, we proposed an recursive algorithm to alternatively optimize multi-level power allocation and quantization regions of the sensing result...
We study energy-efficient power allocation for the sensing-based spectrum sharing (SBSS) of the cognitive users operating in an uplink multiuser MIMO mode. Different from the existing energy-efficient designs that consider system-wise energy efficiency, we consider user-wise energy efficiencies and optimize them in a Pareto sense. However, due to the non-convexity of the formulated problem, finding...
In a cognitive radio network (CRN) of multiple secondary users (SUs) and multiple primary user channels, the protocol of allocating channel resources to SUs and the evaluation of the effectiveness of the protocol are still open issues.In this paper, we developed a novel protocol to allocate channels to SUs and an analytical criterion to evaluate the performance of this protocol.The system settings...
Airborne sensors are often idle for much of their flight, e.g., while the platform carrying them is in transit to and from the locations of sensor tasks. The sensing needs of many other potential information consumers might thus be served by sharing such sensors, allowing other information consumers to opportunistically task them during their otherwise unscheduled time. Toward this end, we have developed...
Optimal power allocation problem for decentralized detection in a wireless sensor network (WSN) is presented. Our goal is to find a numerical solution for the optimal power allocation scheme that minimizes the total power spent by the wireless sensor network so that the detection error probability is below a desired value. We evaluate and compare the performance of two emerging nature inspired algorithms...
We model the power allocation interaction between a cognitive radio and a jammer as a two-player zero-sum game. First, we determine the power allocation strategy for the cognitive radio using a modified version of the Q-learning algorithm against fixed jamming strategies. The learned anti-jamming strategy will be compared to the common waterfilling technique. Then, we consider the power allocation...
Localization technologies in wireless sensor networks have been suffering from great energy consumption problem due to the energy-constrained characteristic of the networks. Existing power allocating solutions are mostly distributed for the lack of global network knowledge. In this paper, we investigate localization algorithm with the support of software-defined network (SDN) technique and propose...
We model the performance of the resources in a smart or intelligent building, such as a library or future museum, which relies on advanced localization, complex sensing and actuating, and possibly higher level cognitive modeling or artificial intelligence. Our focus is on establishing a quantitative link between the localization accuracy and the customer quality of service from their interaction with...
It is envisaged that there will be heterogeneous deployment of ultra-dense femtocells overlaying the existing macrocells in an ad-hoc manner to provide enhanced coverage and capacity for the indoor users in the fifth generation (5G) wireless networks. However, this will lead to serious interference between macrocells and femtocells (cross-tier interference) and interference between neighbouring femtocells...
Cognitive radio is emerging as a promising technique to improve the utilization of the radio frequency spectrum in wireless networks. In this paper, we propose a hybrid CR (cognitive radio) system where underlay and overlay CR approaches are combined under SINR (Signal to Interference plus Noise Ratio) constraints. This new access type allows to optimize the spectrum sensing time with throughput improvement...
Dynamic spectrum sensing and opportunistic access in cognitive communications enable secondary users to recognize and utilize the white spaces of the licensed bandwidth. Our prior work proposed a non-uniform scheme of bandwidth partition and traffic allocation with the aim of regularizing the primary user's (PU's) bandwidth occupancy pattern, which was able to improve the performance of the secondary...
This paper deals with implementation of feedback controllers on embedded platforms and investigates the trade-off between Quality-of-Control (QoC) and resource utilization. In particular, we consider a setting where the embedded platform executes multiple applications including the control application under consideration. Such a setting is common in domains like automotive where consolidation of several...
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