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Articles by Limin Meng
Total Records ( 9 ) for Limin Meng
  Kai Zhou , Limin Meng , Zhijiang Xu , Gang Li and Jingyu Hua
  Wireless sensor networks (WSN) is an energy limited system, thus this study presents an energy-aware quality of service (QoS) routing algorithm for it, which can also run efficiently with best-effort traffic. Furthermore, our work differs from existing algorithms in two ways: (1) We improve the first order energy consumption model with dynamic clustering; (2) We use clustering to build the multi-objectives programming model to support QoS. Simulations and comparisons with some typical route algorithms show that our algorithm is robust and effective.
  Limin Meng , Weihuang Fu , Zhijiang Xu , Jiangxing Zhang and Jingyu Hua
  This study presents a novel Ad hoc On-Demand Vector (AODV) routing protocol based on mobility prediction, named as MAODV. The algorithm controls route discovery, route keeping and route switching according to the distance and mobility estimation of the neighbor nodes. Simulations demonstrate that MAODV reduces the end-to-end delay effectively and enhance the real-time characteristics.
  Limin Meng , Jingyu Hua , Ying Zhang , Zhijiang Xu and Gang Li
  This study presents a novel initial frame synchronization scheme of TD-SCDMA system. This algorithm uses the implicit power transition in the special frame structure and introduces a different power ratio detector comparing with the conventional non-coherent algorithms, which makes it less complicated and more reliable. We verify our algorithm by computer simulations and the results show a good and robust performance in a wide range of signal-to-noise ratios (SNRs).
  Limin Meng , Jingyu Hua , Zhijiang Xu and Gang Li
  In this study, we propose a novel estimator under the time-varying multi-path channel and with its performance robust to Signal-to-Noise Ratio (SNR). This estimator is derived with the help of noise influence analysis and realized through the iterative process. We verify our algorithm by computer simulations and observe a great performance improvement in a wide range of velocities and SNRs.
  Lei Tong , Fangfang Chen , Jingyu Hua , Limin Meng and Shouli Zhou
  In modern Spread Spectrum (SS) communications, how to generate spread spectrum sequence quickly is important in system modeling and design, and therefore has received wide attentions. Moreover, since ADS (Advanced Design System) software had been a widely used simulation tool in industrial areas and there was only the m-sequence (low linear complexity) in the SS sequence library, this paper investigates the generation of Gordon-Mills-Welch (GMW) sequence (high linear complexity) and designs GMW sequence in ADS software, which will enrich the sequence library of ADS and provide more security in information encryption when engineers design SS systems by ADS. In addition, after analyzing the correlation property, we also study a low-correlation GMW generator based on sequence pair choice. The results show that though original GMW sequences have poor cross-correlation, the latter presents good correlation performance and therefore is beneficial for spread spectrum communications.
  Qionghua Zhu , Yuan Wu , Peng Hong , Liping Qian , Jingyu Hua , Zhijiang Xu and Limin Meng
  This study investigates the joint sensing assignment and resource allocations for Cognitive Radio (CR) systems where multiple Secondary Users (SUs) opportunistically share the channels of Primary System (PS) through cooperative sensing. The key questions concerned here are how to assign different SUs to sense different channels and how to allocate the transmission power and bandwidth for SUs such that the detected idle channels of PS are fully utilized. Specifically, the cooperative spectrum sensing improves the detection accuracy and reduces the potential interference to PS due to mis-detection. However, the cooperative spectrum sensing and the consequent reports of sensing results consume additional energy which should be taken account of in the SU resource allocations. Hence, the coupling effect between the spectrum sensing and the consequent resource allocations is critical for CR to optimize its performance. Based on these considerations, the problem of joint sensing assignment and resource allocations for CR is formulated as a mixed binary nonlinear programming problem and a two-layer procedure is proposed to obtain the optimal solutions. The extensive results show that due to the energy overhead for sensing and reporting, the optimal number of SUs assigned to sense the PU channel does not increase in the idle probability of the channel monotonically. Meanwhile, to maximize the SUs throughput, the consequent optimal transmission power and bandwidth allocations heavily depend on the sensing accuracy determined by the optimal sensing assignment.
  Xiaojie Sun , Yuan Wu , Xiao Liang , Yi Yang and Limin Meng
  Future smart grid has been conceived to be able to improve efficiency and stability of the grid operations. Based on the smart meter and advanced mechanism of two-way communications, Energy-Users (EUs) are able to receive real-time signalling (e.g., the electricity price) from the grid and schedule their energy consumption to optimize their objectives of interest correspondingly. Besides the conventional fuel-based energy supply, renewable energy supplies, e.g., solar and wind power, are expected to play important roles in smart grid. Despite their advantages in lowering the electricity-provisioning cost and being environment-friendly, renewable supplies usually suffer from uncontrollable and volatile generations, which result in great fluctuations in their provisioning. Therefore, it is indispensable for EUs equipped with renewable energy suppliers to take a careful tradeoff between exploiting the benefit from the renewable energy and controlling the adversary impact due to its volatility. Based on this motivation, this study aims at jointly optimizing the EU's average energy-acquisition cost as well as its fluctuation. This problem is formulated as a nonconvex optimization problem and this study proposes an efficient Layered Particle Swarm Optimization (L-PSO) algorithm to determine the EU’s optimal scheduling of energy consumptions. Our numerical results show how EU can trade off between benefiting from the renewable supplies and suffering from the associated fluctuation through tuning the weighting-factors.
  Zhijiang Xu , Jing Yuan , Kang Wang , LiMin Meng and Jingyu Hua
  A novel structure of secure communication system is proposed. The alpha stable noise sequence which is used for random carrier, is modulated by the binary message sequence to achieve the purpose of secure communication in some scenarios, such as military communications. The correlation between the first and the latter half symbol period of a stable non-Gaussian noise sequence carries the binary information. The receiver of the proposed random communication system demodulates the received signal by calculating the correlation coefficient between the first and the latter half sybmol period of the transmitted noise sequence to recover the binary message sequence. The proposed communication system significantly simplifies the structure of the transceiver because only one alpha-stable noise source in the transmitter and a simple non-coherent demodulation in the receiver are required. To evaluate the proposed system, the Bit Error Rate (BER) performance under additive white Gaussian noise channel is analyzed. And simulation results show that the BER of the system is very low, thus proving that system proposed is rational and secure.
  Xuejun Wu , Minghua Zhou , Limin Meng , Jingyu Hua , Kai Zhou and Ting Wu
  The invulnerability of mobile ad hoc network is very important to the routing protocol. This study presents a mathematically tractable model of node motion to derive a precise relationship between mobility and connection stability. We improve the first order energy consumption model with dynamic clustering first and then build an incidence matrix to depict the connectivity of the network nodes in a dynamic network model. Finally, this study simulates the network invulnerability related to time. As a result, it validates the high invulnerability of the dynamic clustering ad hoc networks.
 
 
 
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