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Search Results: 1 - 10 of 18392 matches for " Mugen Peng "
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Exploiting Geometric Advantages of Cooperative Communications for Energy Efficient Wireless Sensor Networks  [PDF]
Irfan AHMED, Mugen PENG, Wenbo WANG
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2008, DOI: 10.4236/ijcns.2008.11008
Abstract: Energy efficiency and enhanced backbone capacity is obtained by exploiting the geometric orientation of cooperative nodes in wireless sensor network. The cooperative communication in wireless sensor networks (WSN) gives us leverage to get the inherent advantages of its random node’s locations and the direction of the data flow. Depending on the channel conditions and the transmission distance, the number of cooperative nodes is selected, that participate in an energy efficient transmission/reception. Simulation results show that increasing the cooperative receive diversity, decreases the energy consumption per bit in cooperative communications. It has also been shown that the network backbone capacity can be increased by controlled displacement of antennas at base station at the expense of energy per bit.
Dropping Rate Simulation for a Handover Scheme Using Importance Sampling  [PDF]
Dong Liang, Gan Ding, Wuling Qin, Mugen Peng
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.53B2078
Abstract:

The process of changing the channel associated with the current connection while a call is in progress is under consideration. The estimation of dropping rate in handover process of a one dimensional traffic system is discussed. To reduce the sample size of simulation, dropping calls at base station is considered as rare event and simulated with importance sampling - one of rare event simulation approaches. The simulation results suggest the sample size can be tremendously reduced by using importance sampling.

Resource Allocation for Vertical Sectorization in LTE-Advanced Systems
Lei Song,Mugen Peng,Yan Li
International Journal of Antennas and Propagation , 2013, DOI: 10.1155/2013/456760
Abstract: Massive multiple input multiple output (MIMO) technology has been discussed widely in the past few years. Three-dimensional MIMO (3D MIMO) can be seen as a promising technique to realize massive MIMO to enhance the performance of LTE-Advanced systems. Vertical sectorization can be introduced by means of adjusting the downtilt of transmitting antennas. Thus, the radiowave from a base station (BS) to a group of user equipments (UE) can be divided into two beams which point at two different areas within a cell. Intrasector interference is inevitable since the resources are overlapped. In this paper, the influence of intrasector interference is analyzed and an enhanced resource allocation scheme for vertical sectorization is proposed as a method of interference cancellation. Compared with the conventional 2D MIMO scenarios, cell average throughput of the whole system can be improved by vertical sectorization. System level simulation is performed to evaluate the performance of the proposed scheme. In addition, the impacts of downtilt parameters and intersite distance (ISD) on spectral efficiency and cell coverage are presented. 1. Introduction Long Term Evolution (LTE), proposed by the Third Generation Partnership Project (3GPP), is aimed at achieving enhanced performance in terms of cell throughput and system overhead. As is generally known, LTE-Advanced is addressed to achieve higher data rates and better UEs’ Quality of Service (QoS) than LTE [1, 2]. Based on Orthogonal Frequency Division Multiple Access (OFDMA), capacity of wireless systems can be significantly increased by using multiantenna methods. As one of the key techniques in LTE-Advanced systems, massive MIMO has been widely discussed currently and 3D MIMO can be seen as an effective method to approach large-scale MIMO [3–6]. Compared with the conventional 2D antenna, 3D antenna is comprised of many element units. Each element is deployed at different heights in an individual 3D antenna. Thus, difference of elements in vertical domain should not be neglected. Benefiting from Active Antenna Systems (AAS), many active antenna technologies such as 3D beamforming and vertical sectorization could be easily implemented. Vertical sectorization can be realized by multiple antenna elements, by which two separate beams with their distinct antenna parameters are arranged to serve vertically split inner and outer cells. In our work, performance with various electrical tilt angles have been simulated to observe the optimization space of the overlap between two vertical sectors and the gain in terms of cell
Training Design and Channel Estimation in Uplink Cloud Radio Access Networks
Xinqian Xie,Mugen Peng,H. Vincent Poor
Mathematics , 2014, DOI: 10.1109/LSP.2014.2380776
Abstract: To decrease the training overhead and improve the channel estimation accuracy in uplink cloud radio access networks (C-RANs), a superimposed-segment training design is proposed. The core idea of the proposal is that each mobile station superimposes a periodic training sequence on the data signal, and each remote radio heads prepends a separate pilot to the received signal before forwarding it to the centralized base band unit pool. Moreover, a complex-exponential basis-expansion-model based channel estimation algorithm to maximize a posteriori probability is developed, where the basis-expansion-model coefficients of access links (ALs) and the channel fading of wireless backhaul links are first obtained, after which the time-domain channel samples of ALs are restored in terms of maximizing the average effective signal-to-noise ratio (AESNR). Simulation results show that the proposed channel estimation algorithm can effectively decrease the estimation mean square error and increase the AESNR in C-RANs, thus significantly outperforming the existing solutions.
Cooperative Non-Orthogonal Multiple Access in 5G Systems
Zhiguo Ding,Mugen Peng,H. V. Poor
Mathematics , 2014,
Abstract: Non-orthogonal multiple access (NOMA) has recently received considerable attention as a promising candidate for 5G systems. A key feature of NOMA is that users with better channel conditions have prior information about the messages of the other users. This prior knowledge is fully exploited in this paper, where a cooperative NOMA scheme is proposed. Outage probability and diversity order achieved by this cooperative NOMA scheme are analyzed, and an approach based on user pairing is also proposed to reduce system complexity in practice.
Ergodic Capacity Analysis of Remote Radio Head Associations in Cloud Radio Access Networks
Mugen Peng,Shi Yan,H. Vincent Poor
Mathematics , 2014,
Abstract: Characterizing user to Remote Radio Head (RRH) association strategies in cloud radio access networks (C-RANs) is critical for performance optimization. In this letter, the single nearest and N--nearest RRH association strategies are presented, and the corresponding impact on the ergodic capacity of C-RANs is analyzed, where RRHs are distributed according to a stationary point process. Closed-form expressions for the ergodic capacity of the proposed RRH association strategies are derived. Simulation results demonstrate that the derived uplink closed-form capacity expressions are accurate. Furthermore, the analysis and simulation results show that the ergodic capacity gain is not linear with either the RRH density or the number of antenna per RRH. The ergodic capacity gain from the RRH density is larger than that from the number of antennas per RRH,which indicates that the association number of the RRH should not be bigger than 4 to balance the performance gain and the implementation cost.
Advanced Self-Organizing Technologies over Distributed Wireless Networks
Mugen Peng,Zhiguo Ding,Yiqing Zhou,Yonghui Li
International Journal of Distributed Sensor Networks , 2012, DOI: 10.1155/2012/821982
Abstract:
Advanced Self-Organizing Technologies over Distributed Wireless Networks
Mugen Peng,Zhiguo Ding,Yiqing Zhou,Yonghui Li
International Journal of Distributed Sensor Networks , 2012, DOI: 10.1155/2012/821982
Abstract:
Advanced Antenna Technologies in the Beyond IMT-Advanced Systems
Mugen Peng,Cheng-Xiang Wang,Feifei Gao,Wei Xiang
International Journal of Antennas and Propagation , 2013, DOI: 10.1155/2013/156831
Abstract:
High Energy Efficient Heterogeneous Networks: Cooperative and Cognitive Techniques
Heng Wang,Jiamo Jiang,Jian Li,Manzoor Ahmed,Mugen Peng
International Journal of Antennas and Propagation , 2013, DOI: 10.1155/2013/231794
Abstract: Heterogeneous network (HetNet) is considered as the main and eminent future communication technology, since it achieves high spectral efficiency per unit area and saves energy due to low transmission power. Mass deployment of small cells in cochannel mode increases overall system capacity, but it is also coupled with greater risk of cochannel interference. This paper overviews the interference model based on the Poisson point process (PPP) and analyzes the performance in terms of energy efficiency in multitier HetNet. As the promising solution for improving the performance of HetNet, both the cooperative communication and cognitive radio techniques to mitigate the interference in HetNet are surveyed. As one example of cooperative communication techniques, a hierarchical cooperation scheme on the spectrum allocation is presented and its energy efficiency performance is analyzed and evaluated. Meanwhile, the energy efficiency increases from the cognitive radio technique are demonstrated as well. The energy efficiency performance comparison between the presented cooperative communication and cognitive radio techniques is emphasized, which suggests that the cooperation communication technique is preferred to suppress the interference and increase the energy efficiency in HetNets. 1. Introduction Heterogeneous network (HetNet), which consists of a mix of generous macrocells and low-power nodes, for example, micro, pico, femto, relay node (RN), and remote radio head (RRH), has been seen as a promising approach for improving the spectrum and energy efficiency. The large macrocells provide mobility and basic coverage, while small cells and low-power nodes boost capacity and extend the range of cellular network [1]. Meanwhile, the environmental effect of the information and communication technologies (ICTs) has become an increasingly hot topic, which is known that the ICTs have been a major contributor to total greenhouse gas emissions. Not only the government, but also the operators pay a great attention to reduce the capital expenditure (CAPEX) and operational expenditure (OPEX) by saving the energy consumption with advanced wireless communication techniques. In HetNet, the coexistence of macro- and small cells has the potential to reduce the energy consumption by shortening the distance between the user equipments (UEs) and eNodeBs (eNBs) [2]. However, the HetNet architecture also brings new issues and challenges compared with traditional homogeneous network, such as the impact of resource allocation and interference mitigation schemes on the performance [3].
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