Now showing items 1-20 of 24

    • Compressive Sensing And Wireless Network Capacity With Performance Analysis 

      Kirachaiwanich, Davis (Electrical Engineering, 2011-10-11)
      This dissertation contains five reseach topics. In chapter 1, the performances of a noncoherent slow frequency-hopping system with M-ary frequency-shift-keyed modulation (NC-FH/MFSK) under various hostile jamming strategies ...
    • Compressive Sensing For Wireless and Sensor Systems 

      Wu, Ji (Electrical Engineering, 2013-10-22)
      Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-Nyquist signal acquisition. It provides a ...
    • Cross-layer Design For Wireless Ad Hoc Sensor Networks 

      Xia, Xinsheng (Electrical Engineering, 2008-04-22)
      Cross-layer design is an efficient approach to enhance energy efficiency and Quality of Service (QoS) in wireless ad hoc sensor networks. This dissertation will focus on the cross-layer issues and approaches. It will also ...
    • Home Area Networks For Smart Grid Communications 

      Li, Zhuo (Electrical Engineering, 2014-07-14)
      his dissertation studies five topic which are focused on but not limited to the area of Home Area Networks (HANs) in Smart Grid communications: capacity optimization for IR-UWB (Chapter 2), power consumption and downlink ...
    • Hybrid And Smart Grid Wireless Networks: Capacity And Optimization 

      Wang, Xin (Electrical Engineering, 2014-07-14)
      Hybrid wireless network is a combination of ad hoc network and cellular network. A key question arising in such hybrid wireless networks is what is the per-node data transmission limit of the hybrid wireless network over ...
    • LARGE DIMENSIONAL ANALYSIS AND OPTIMIZATION FOR MASSIVE MIMO WIRELESS NETWORKS 

      Wang, Longwei
      The Last decade has seen a massive growth of wireless devices. Demands for high capacity and massive connectivity always increases. To meet the these requirements, massive multiple-input multiple-output (MIMO) technology ...
    • MACHINE LEARNING FOR TARGET DETECTION USING UWB RADAR SENSOR NETWORKS 

      Bhole, Dheeral Naresh; 0000-0003-1834-6109 (2022-12-05)
      Machine learning (ML) has recently been used to solve critical problems. This dissertation focuses on developing systems using Ultra-Wideband (UWB) wireless sensor networks and machine learning to solve critical tasks such ...
    • MASSIVE MIMO PERFORMANCE ANALYSIS AND RADAR SENSOR NETWORKS BASED TARGET DETECTION 

      Zhao, Ganlin (2017-12-08)
      In this dissertation, we apply massive multiple-input-multiple-output (MIMO) performance analysis and radar target detection based on radar sensor networks(RSN). In recent years, massive MIMO draws great interest for ...
    • Medium Access Control(MAC) Layer Design And Data Query Processing For Wireless Sensor Networks 

      Ren, Qingchun (Electrical Engineering, 2008-04-22)
      In this dissertation, there are four main aspects included: energy reservation on MAC layer, secure improvement for DoS attacks on MAC layer, query processing with uncertainty for sensor database systems, and throughput ...
    • MODEL OPTIMIZATION AND APPLICATIONS IN DEEP LEARNING 

      Mao, Chengchen (2023-08-14)
      Machine learning refers to a machine or an algorithm that draws experience from data. A certain pattern is found to build a model, which is used to solve real problems. Deep learning, an important branch and extension ...
    • Optimization of Heterogeneous Wireless Networks with Massive MIMO 

      Yuan, Shitong; 0000-0003-1310-3749 (2016-05-13)
      In the next generation wireless communication system, multi-layers of Heterogeneous Networks (HetNets) are required to provide high efficiency bandwidth usage and high speed data throughput. Users’ distribution and their ...
    • Physical Layer And Application Layer Issues Of Wireless Sensor Networks 

      Wang, Lingming (Electrical Engineering, 2007-08-23)
      The potential for collaborative, robust networks of wireless sensors has attracted a great deal of research attention. For the most part, this is due to the compelling applications that wireless sensor networks will enable. ...
    • POWER ALLOCATION AND MASSIVE MIMO CHANNEL MODELING FOR 5G WIRELESS COMMUNICATIONS 

      Chen, Zhangliang (2022-05-11)
      To meet the demand for wireless communication transmission rate to reach a thousand times of the existing system in 2021, the fifth-generation (5G) mobile communication system was developed. Compared with Long-Term Evolution ...
    • Radar Sensor Networks: Waveform Design, Mimo And Compressive Sensing 

      Xu, Lei (Electrical Engineering, 2012-04-11)
      In this dissertation, we have studied totally eight topics which are focused on but not limited to radar sensor networks (RSN) from a signal processing perspective. We propose the definitions of ZCZ/LCZ (Zero Correlation ...
    • RESOURCE ALLOCATION AND CAPACITY IN WIRELESS COMMUNICATIONS AND NETWORKS 

      Wang, Zikai; 0000-0001-7264-978X (2021-04-29)
      How to allocate resources in the era of Big Data in telecommunications becomes a new issue. Smartphone data could be a function of personality, as the smartphone supports interpersonal interaction, and the data collected ...
    • Self-organization And Resource Allocation In Wireless Sensor Networks 

      Zhao, Liang (Electrical Engineering, 2007-08-23)
      In this dissertation, we utilize clustering to organize wireless sensors into an energy-efficient hierarchy. We propose a Medium-Contention Based ClusterHeadship Auction (MCCHA) scheme, through which sensors self-organize ...
    • Signal Processing In Radar And Non-radar Sensor Networks 

      Liang, Jing (Electrical Engineering, 2009-09-16)
      This dissertation studies six topics within the area of radar andnon-radar sensor networks from a signal processing perspective:radar sensor networks (RSN) waveform design and performance analysis(chapter 2), blind speed ...
    • Sparse Array for Wireless Sensor Networks and Wireless Communications 

      Liang, Hao (2017-05-11)
      Underwater target detection and recognition has been widely used nowadays. In this dissertation, we show that the 3-D nested-array system can provide O(N^2) degree of freedom by using only N physical sensors when the second ...
    • Sparse Sampling And Array For Wireless Communications 

      Wu, Qiong
      In recent years, sparse sampling and array, such as coprime sampling, nested sampling, nested array, attract attention for their potential to estimate autocorrelation coefficients with all lags, and to calculate the power ...
    • SPARSE SAMPLING AND ARRAY IN SIGNAL PROCESSING 

      Wu, Na (2017-04-25)
      Sparse sampling and sparse arrays have attracted lots of interests in recent years. In this dissertation, we firstly apply nested sampling and co-prime sampling to ultra-wide band radar, which require us to extend the ...