1,150 research outputs found

    Cell Selection in Wireless Two-Tier Networks: A Context-Aware Matching Game

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    The deployment of small cell networks is seen as a major feature of the next generation of wireless networks. In this paper, a novel approach for cell association in small cell networks is proposed. The proposed approach exploits new types of information extracted from the users' devices and environment to improve the way in which users are assigned to their serving base stations. Examples of such context information include the devices' screen size and the users' trajectory. The problem is formulated as a matching game with externalities and a new, distributed algorithm is proposed to solve this game. The proposed algorithm is shown to reach a stable matching whose properties are studied. Simulation results show that the proposed context-aware matching approach yields significant performance gains, in terms of the average utility per user, when compared with a classical max-SINR approach.Comment: 11 pages, 11 figures, Journal article in ICST Wireless Spectrum, 201

    A context-aware matching game for user association in wireless small cell networks

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    Small cell networks are seen as a promising technology for boosting the performance of future wireless networks. In this paper, we propose a novel context-aware user-cell association approach for small cell networks that exploits the information about the velocity and trajectory of the users while also taking into account their quality of service (QoS) requirements. We formulate the problem in the framework of matching theory with externalities in which the agents, namely users and small cell base stations (SCBSs), have strict interdependent preferences over the members of the opposite set. To solve the problem, we propose a novel algorithm that leads to a stable matching among the users and SCBSs. We show that the proposed approach can better balance the traffic among the cells while also satisfying the QoS of the users. Simulation results show that the proposed matching algorithm yields significant performance advantages relative to traditional context-unaware approaches.Comment: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol., no., pp.439-443, 4-9 May 201

    Device-to-Device Communications in the Millimeter Wave Band: A Novel Distributed Mechanism

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    In spite of its potential advantages, the large-scale implementation of the device-to-device (D2D) communications has yet to be realized, mainly due to severe interference and lack of enough bandwidth in the microwave (μ\muW) band. Recently, exploiting the millimeter wave (mmW) band for D2D communications has attracted considerable attention as a potential solution to these challenges. However, its severe sensitivity to blockage along with its directional nature make the utilization of the mmW band a challenging task as it requires line-of-sight (LOS) link detection and careful beam alignment between the D2D transceivers. In this paper, we propose a novel distributed mechanism which enables the D2D devices to discover unblocked LOS links for the mmW band communication. Moreover, as such LOS links are not always available, the proposed mechanism allows the D2D devices to switch to the μ\muW band if necessary. In addition, the proposed mechanism detects the direction of the LOS links to perform the beam alignment. We have used tools from stochastic geometry to evaluate the performance of the proposed mechanism in terms of the signal-to-interference-plus-noise ratio (SINR) coverage probability. The performance of the proposed algorithm is then compared to the one of the single band (i.e., μ\muW/mmW) communication. The simulation results show that the proposed mechanism considerably outperforms the single band communication.Comment: 6 Pages, 6 Figures, Accepted for presentation in Wireless Telecommunication Symposium (WTS'18

    Antitumour Promoting Activity And Mode Of Action Of Methanolic Extracts Of Selected Malaysian Seaweeds And Oil Palm Fronds

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    Dietary and non dietary biophenols may potentially be chemoprotective against various cancers. This research aims to investigate the cancer preventive and tumoricidal properties of selected Malaysian seaweeds and oil palm leaves as a source of phenolic compounds. Initially, the anti-proliferation activities of, red (Eucheuma cottonii), green (Caulerpa lentillifera) and brown (Sargassum polycystum) seaweeds methanolic extract, against five important human cancer cell lines MCF-7, (human breast carcinoma cell line, estrogen positive) MDA-MB-231, (human breast carcinoma cell line, estrogen negative) HeLa, (human cervical adenocarcinoma cell line) HepG2, (human hepatocellular carcinoma cell line) HT-29, (human colon carcinoma) and normal Vero (African green monkey kidney cell line) were assessed. The MTT assays indicated that the 3 seaweeds extracts were cytotoxic against all these cancer cell lines in a dose-dependent manner,with Eucheuma cottonii having the greatest inhibition activity
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