In order to mitigate the interference between macrocell mobile stations (mMSs) and femtocells and allocate the spectrum efficiently, a graph coloring based clustering algorithm for channel allocation is proposed in th...
In order to mitigate the interference between macrocell mobile stations (mMSs) and femtocells and allocate the spectrum efficiently, a graph coloring based clustering algorithm for channel allocation is proposed in this paper. Under the premise of guaranteeing the SINR requirements of mMSs, the algorithm determines the initial set of subchannels which can be used for each femtocell. Then according to the constructed interference graph of the femtocell networks, each femtocell mobile station(fMS) is allocated all the available spectrum resources dynamically. In this paper, we use an improved cluster algorithm to ensure the SINR of mMSs and maximize the femtocell throughput. Simulation results show that the proposed algorithm can reduce the outage probability of mMSs as well as improve the total throughput.
This paper investigates a new spectrum sharing algorithm based on price in cognitive radio networks. A supply and demand model between primary users and secondary users is established to decide the price of free spect...
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This paper investigates the resource allocation of Orthogonal Frequency Division Multiplexing Access(OFDMA) cellular network with DF relaying in the downlink.A joint scheme of relay selection, subcarrier assignment an...
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This paper investigates the resource allocation of Orthogonal Frequency Division Multiplexing Access(OFDMA) cellular network with DF relaying in the downlink.A joint scheme of relay selection, subcarrier assignment and power allocation is proposed to maximize the system sum rate subject to individual power constraints and heterogeneous users' rate *** the original problem is a mixed integer programming(MIP), we transform it to a standard convex optimization by continuous relaxation and solve it via iterative water-filling(IWF) and subgradient methods in the dual *** the joint scheme, the upper bound is studied through an exhaustive bisection *** results show that the proposed scheme outperforms the traditional methods in terms of both system throughput and users' satisfactions.
Mobility model is important for the performance analysis of wirelessnetworks. The paper presents an angle mobility model. Based on the model, the characters of the direction angle for terminal mobility are analyzed a...
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Mobility model is important for the performance analysis of wirelessnetworks. The paper presents an angle mobility model. Based on the model, the characters of the direction angle for terminal mobility are analyzed and a calculation method for handoff rate is proposed. The theoretical closed-formula is derived for handoff rate in the condition that users' moving direction is unchanging in the fixed time interval T. It can be clearly demonstrated that the handoff rate is determined by users' distributed density, moving speed, and cell radius. However, previous techniques calculating handoff rate require knowledge of the distribution of the cell residence times which is difficult to measure. The formulas of handoff rate illustrate that the number of cell's users is dynamic equilibrium. The simulation results demonstrate the validity of the theoretical analysis for handoff rate.
The choice of physical carrier sensing threshold affects the performance of the MAC layer protocol in multi-hop networks. This paper takes the effect of carrier sensing threshold on QoS into account, and develop an an...
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Geolocation and tracking of mobile objects is an important issue in wireless communication networks. Various methods have been devised and implemented to deal with such problems whose performance is particularly limit...
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ISBN:
(纸本)9781467304375;9781467304368
Geolocation and tracking of mobile objects is an important issue in wireless communication networks. Various methods have been devised and implemented to deal with such problems whose performance is particularly limited in non-line-of-sight propagation conditions. In this paper, we take advantage of the extended Kalman filter with some extensions, modifications and improvement of previous work to reduce the NLOS error in the location measurement. One of the key contributions of this paper is to present the methods that discriminate the NLOS measurements from the LOS measurements based on the standard deviation and K-means clustering and reconstruct the LOS measurements out of the NLOS measurements by polynomial fit in order to mitigate the NLOS error. Simulation results confirm the effectiveness and accuracy of our approach in comparison with the conventional EKF algorithm. Moreover, we do not model the distribution of the NLOS error due to its intractability.
In pattern classification of wirelesssensornetwork (WSN), multi-sensor feature fusion can improved the classification performance, but there are lots of irrelevant and redundant features which cause considerable com...
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Parking space detection is a keytechnology in the parking lot management system. When performing parking space detection using magnetic sensors, there may be interference from the adjacent parking space, which will r...
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Parking space detection is a keytechnology in the parking lot management system. When performing parking space detection using magnetic sensors, there may be interference from the adjacent parking space, which will result in false detection. However there still will be false detection when only cameras are used to detect the parking spaces because the performance of the cameras is inclined to be affected by the environment. Considering that the magnetic sensors are only sensitive to ferromagnetic objects and insensitive to the environment effect and images often contain a wealth of information, we propose a parking space detection algorithm combining the information from magnetic sensors and images. The algorithm performs primitive detection using magnetic sensors. If the sensor reports that there is a vehicle nearby, the algorithm analyzes the image information of the parking space gathered by the camera, extracts the image features of the parking space and classifies the features to confirm whether the parking space is occupied. The experimental results show that our algorithm can make more precise decisions for parking space detection with much lower complexity and less computational efforts. Furthermore our algorithm can effectively reduce the burden of image or video processing of the system.
Affinity propagation is an effective clustering algorithm which has been a hot point in recent years. In this paper, we analyze the similarity matrix based on Euclidean distance for AP algorithm and propose the geneti...
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In view of the slowness, the locality of convergence and the low accuracy of Simple Genetic Algorithm (SGA) in solving complex continuous space optimization problems, we introduce an improved genetic algorithm called ...
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In view of the slowness, the locality of convergence and the low accuracy of Simple Genetic Algorithm (SGA) in solving complex continuous space optimization problems, we introduce an improved genetic algorithm called Quantum Genetic Algorithm based Search Space Partition (SSPQGA). In this algorithm, the search space partition method is used to increase search accuracy and inhibit premature problem. The chromosomes are composed of quantum bits whose probability amplitudes comprise gene chains. The quantum chromosomes are evolved by quantum rotation gates, and mutated by quantum non-gates. Several typical examples are carried out and the results indicate that the novel algorithm possesses advantages such as less chance of being trapped into premature states, higher accuracy and higher stability. As a result, SSPQGA can be widely applied to many complex continuous space optimization problems which require higher accuracy.
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