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With the advancements in mobile sensors and health-care technologies, mobile health (mHealth) services are growing in demand. However, the deployment of mHealth's applications in rural and underdeveloped areas remains a major challenge, despite the investments made, largely due to unreliable communication infrastructures. In this paper, we propose delivering mHealth data in a highly disruptive wireless...
Energy efficient cognitive radio networks can simultaneously improve spectrum efficiency (SE) and energy efficiency (EE) of wireless communication networks. This paper studies energy efficient spectrum sensing interval, spectrum sensing energy and transmit power allocation scheme of the secondary user (SU) in CR networks. The EE maximization problem subject to the transmit power constraint and average...
Cognitive radio (CR) is a promising method suitable for solving inefficiency spectrum policy by opportunistically identifying the vacant portions of the spectrum that are used by primary users (PUs). In cognitive radio ad hoc networks (CRAHNs), secondary users (SUs) can opportunistically utilize the spectrum that is available from PUs. In this paper, we propose a neighbor-aware distance estimated...
Energy harvesting has been gaining a lot of attention in the past decade due to its ability to provide a-virtually-endless energy supply. Nodes in a Wireless Powered Communication Network (WPCN) depend, totally or partially, on the energy harvested from the Central Node (CN) which has a constant power supply. This work addresses a solution to the problem of lack of fairness in the distribution of...
Automation of modern industrial plants require real-time tracking of object locations and sensing of local and ambient parameters for variety of applications such as counting and tracking of objects in assembly line, detection and positioning of failures of machines etc. Mostly, discrete Real Time Location System (RTLS) performs object tracking in existing industrial automation without its integration...
Cognitive radio networks (CRNs) enable secondary users (SU) to make use of licensed spectrum without interfering with the signal generated by primary users (PUs). To avoid such interference, the SU is required to sense the medium for a period of time and eventually use it only if the band is perceived to be idle. In this context, the encryption process is carried out for the SU requests prior to their...
In this paper, we consider how to achieve optimum throughput when LTE with listen before talk (LBT) shares the unlicensed spectrum with WiFi. Basically, we aim to address two problems: 1) How can WiFi access point (AP) and WiFi station (STN) configure the access parameters to maximize the throughput of their own networks when they have knowledge of the access parameter of LTE? 2) How to jointly tune...
Recently backscatter networks have received booming interest because, they offer a battery-free communication paradigm using propagation radio waves as opposed to active radios in traditional sensor networks while providing comparable sensing functionalities, ranging from light and temperature sensors to recent microphones and cameras. While sensing data on backscatter nodes has been seen on a clear...
Extending LTE to unlicensed bands (LTE-U) is gaining increasing interest recently. However, its success faces great challenges due to the inherent lack of compatibility between LTE and Wi-Fi. In this paper, we address the problem of harmonious coexistence and efficient spectrum sharing for LTE-U and Wi-Fi. We develop an analysis framework for the Carrier Sensing Adaptive Transmission (CSAT) mechanism,...
In this paper we propose a vehicular speed learning framework that recommends best traffic load based on a particularly required latency and throughput conditions to be achieved. The framework is composed of two main layers, the base layer and two enhancement layers. The base layer aims at providing an in-vehicle wireless receiver to inform the driver about the speed limit within the area he/she is...
In this paper, we consider a time-slotted energy harvesting (EH) cognitive radio (CR) network, where the secondary user (SU) is powered by a continual source of energy harvested from ambient environment. Jointly considering the primary user activity on the primary channel, diversity of channel conditions, energy replenishment process as well as the imperfection of spectrum sensing, the SU aims to...
In this paper, cognitive machine to machine (CM2M) gateway in e-healthcare systems are presented by accessing several channels via periodic sensing and spectrum handoff. An optimal energy efficient spectrum management mechanism with multiple thresholds is proposed. The developed mechanism aims to reduce energy consumption in the system by optimizing the spectrum sensing and channel switching, while...
This paper proposes a new spectrum access algorithm based on the Partially Observable Markov Decision Process (POMDP) for Cognitive Radio Networks (CRNs). The proposed algorithm uses the Maximum Likelihood to estimate the licensed channel state transition probabilities based on historical statistics information of the channels. Then, the number of channels sensed by the secondary users in each time...
In cognitive radio (CR), changing the primary user's status diminishes the achievable throughput for secondary user. Traffic of primary user is inversely proportional to throughput of secondary user. Increasing sensing time increases the primary user protection, but has a negative effect on the throughput of secondary user. Solving the dilemma of sensing-throughput tradeoff is to find the optimal...
In this paper we present a novel dynamic spectrum sensing and access model in cognitive radio networks. This model allows secondary user (SU) to sequentially sense two times if necessary due to the false alarm, and choose different accessing manner according to the sensing result. In practice, sensing results often affect the data transmission in cognitive radio systems. Therefore, a hybrid interweave/underlay...
Due to the lack of spectrum resource of power wireless private network, it is difficult to guarantee the transmission for the services in the distribution network. In order to enhance the network resource utilization, this paper puts forward a method for the uplink resource scheduling of power wireless private network based on NB-IoT and LTE hybrid transmission. Firstly, through the cognizing for...
Standardization activities have already begun on 5G to support very high system requirements. A common consensus toward achieving these targets is to permit transmission over a wide spectrum range. The departure from a dedicated licensed-only spectrum regime to a shared spectrum model poses new challenges for next generation mobile communication systems. Cognitive Radio Technologies is an enabler...
Spectrum sensing using cooperative power spectral density cancellation (CPSC) over both fast and frequency-selective fading channels has not been investigated yet. We investigate the performance of the newly proposed CPSC method over this severely-impaired Rayleigh channel. We initially compare two approaches to calculate the decision variable in the CPSC algorithm. Then, it is assumed that the fading...
In this paper, we improve throughput performance of a cognitive radio network through a proposed dual-level sensing strategy. Throughput performance of secondary users cannot be enhanced while providing higher priority to protect primary users from secondary user interference. Therefore, we propose a novel multiple access scheme based on dual-level sensing strategy by which both the interference protection...
Nowadays, most of the geographical areas are covered by multiple heterogeneous networks. Moving terminals within these areas usually switch from a network to another for different motivations, such as enhancing quality of service, improving throughput, reducing monetary cost, etc. Terminal switching, aka handover, may occur to a spectrum band where the terminal is unlicensed as implied in the cognitive...
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