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In this paper, we presented a fairness-aware scheduling scheme in OFDM-based cognitive radio networks. Our objective is to maximize the systems energy efficiency while maintain the fairness among secondary users. In addition, many factors will be considered such as the channel quality, the interferences taken to the primary system and the total transmission power of the cognitive radio system. The...
The main aim of this paper consists in developing an effective e-learning tool, focused on evolutionary algorithms, in order to solve the graph coloring problem. Subsidiary, we apply graph coloring for register allocation in embedded systems. From didactic viewpoint, our tool has benefits in the learning process because it helps students to observe the relationship between the graph coloring problem...
In order to improve the accuracy of data fusion for muti-sensor, a data fusion method based on fuzzy preference relation is proposed. The predefined knowledge of the sensors is unnecessary in the algorithm. The weight of the sensor can be adjusted in time according to the variation of the fuzzy preference relation of each sensor. The simulations show that fusion precision in this paper is superior...
With the emergence of energy harvesting technologies, the energy harvesting wireless sensor network (EH-WSN) provides near-perpetual energy supply for sensor nodes. The routing techniques based on energy-efficient are not suitable for EH-WSN. In this paper, we focus on the routing problem for EH-WSN. We first describe the factors of affecting routing performance in EH-WSN and present three related...
In underlay Device-to-Device (D2D) communication, a D2D pair reuses the cellular spectrum and creates interference to regular cellular users. Achieving potential improvements in underlay D2D communication requires joint consideration for the achieved D2D rate and the interference to cellular users. In this work, we present stochastic optimization solutions to allocate the D2D transmission power over...
This paper presents the performance of scheduling for adaptive modulation and coding based on the dynamic margin control. To cover various wireless channel conditions and requirements for multimedia traffic QoS, the selection of suitable MCS (Modulation and Coding Scheme) is important technique in real deployment and management fields. In this paper, we propose dynamic margin control schemes based...
In heterogeneous networks (HetNets), the deployment of small cells is accompanied by load balance and interference problems. A time-domain solution is enhanced Inter-Cell Interference Coordination (eICIC), which involves two parameters: Cell Range Extension (CRE) bias and Almost Blank Subframe (ABS) ratio. The centralized algorithm of jointly optimizing these two parameters is time consuming and is...
In this paper, we propose a new routing algorithm which calculates bandwidth-delay constrained routes in the fast and efficient manner. The algorithm is designed for the software-defined backbone networks, where the control plane is separated from the data plane and logically centralized. Besides providing the required quality of service (QoS), the algorithm aims to maximize utilization of network...
We consider an energy minimization problem for cooperative LTE networks. To reduce energy consumption, we investigate how to jointly optimize the transmit power and the association between cells and user equipments (UEs), by taking into consideration joint transmission (JT), one of the coordinated multipoint (CoMP) techniques. We formulate the optimization problem mathematically. For solving the problem,...
Nowadays, cognitive small cell networks (CSCNs) have been widely accepted as a promising and efficient method to deal with exponentially increasing demand of wireless data services. As small cells become smaller and denser, inter-cell interference (ICI) at user equipments (UEs), coming from adjacent base stations (BSs), expanded dramatically and has grown more complicated to be managed. In order to...
Heterogeneous cellular networks (HetNets) is key technology in 5G used to tackle the ever increasing demand of data rate. The most critical problem of HetNet is interference. In this paper, we utilize the coordinated beamforming technique to mitigate the interference problem. We also suggest that reference signal receive power (RSRP) based cell association scheme has limitation when applied to multi-tier...
In this paper, we model and analyze the resource management problem of energy harvesting-based underlaying device-to-device (D2D) communication in uplink cellular networks (CNs). D2D transmitter can harvest energy from ambient inter- ference and reuse the spectrum of the cellular users (CUs) to com- municate with corresponding receiver. The energy of transmitters comes form the mix of the harvested...
For search and rescue (SAR) missions in emergency and disaster scenarios, unmanned robotic technologies offer an opportunity to save human lives and speed up the rescue process. Communication among the unmanned devices and with the command and control station plays a key role in detecting, locating, and rescuing affected persons. To establish this communication network, ease of deployment provided...
Next generation mobile networks will face the unprecedented demand for higher data rates. To satisfy this demand, the dense deployment of heterogeneous wireless networks (HetNets) is a promising solution. One of the major challenges in dense HetNets is to dynamically allocate the resources such as power and channel so that the energy efficiency and throughput of the network improve. One of the important...
Cognitive radio networks play a vital role in solving the problem of underutilization of spectrum by identifying unused licensed radio spectrum. They solve the problem by distributing this unused spectrum among unlicensed users in an intelligent fashion without interfering with existing users. In this paper, using the conflict graph and graph colouring concepts, a Graph Colouring based Dynamic Channel...
In this paper, we propose a novel deferred acceptance based resource allocation algorithm (DARA) for allocating LTE cellular user resource to D2D devices. The quality of service (QoS) constrained downlink resource block (RB) allocation problem is first formulated as a computationally expensive mixed integer nonlinear programming (MINLP) problem. We also propose a polynomial-time matching algorithm...
The popularity and wider acceptance of IEEE 802.11 based WLANs has resulted in their dense deployments in diverse environments. While this massive deployment can potentially increase capacity and coverage, the current physical carrier sensing of IEEE 802.11 cannot limit the overall interference induced and also cannot insure high concurrency among transmissions. Recently, the IEEE 802.11 working group...
In this paper, an optimal link selection and data rate assignment algorithm for spatial time division multiple access (STDMA) medium access control (MAC) protocols is exploited. The motivation for this study is jointly searching for optimal links and corresponding rates in simultaneous transmission environments in order to maximize the throughput capacity in each time slot. A mathematical formulation...
The need for higher data rates and improved coverage has led to massive and uncoordinated deployments of IEEE 802.11 based WLAN Access Points in geographically limited areas that has resulted in increased interference with reduced area throughput. Recently, the IEEE 802.11 working group has continued efforts to cater the aforementioned problems by creating the IEEE 802.11ax Task Group, TGax (which...
Directional antennas have received much attention recently in multihop ad hoc networks, due to such benefits as increased transmission range, reduced co-channel interference, improved spatial reuse, and reduced susceptibility to jamming. However, existing random access scheduling schemes with directional antennas suffer from the issues of deafness and high probability of collisions. Moreover, such...
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