Matching Items (8)
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- All Subjects: Electrical Engineering
- All Subjects: MIMO
- Genre: Masters Thesis
- Member of: Theses and Dissertations
- Resource Type: Text
- Status: Published
Description
In-band full-duplex relays are envisioned as promising solution to increase the throughput of next generation wireless communications. Full-duplex relays, being able to transmit and receive at same carrier frequency, offers increased spectral efficiency compared to half-duplex relays that transmit and receive at different frequencies or times. The practical implementation of full-duplex relays is limited by the strong self-interference caused by the coupling of relay's own transit signals to its desired received signals. Several techniques have been proposed in literature to mitigate the relay self-interference. In this thesis, the performance of in-band full-duplex multiple-input multiple-output (MIMO) relays is considered in the context of simultaneous communications and channel estimation. In particular, adaptive spatial transmit techniques is considered to protect the full-duplex radio's receive array. It is assumed that relay's transmit and receive antenna phase centers are physically distinct. This allows the radio to employ adaptive spatial transmit and receive processing to mitigate self-interference.
The performance of this protection is dependent upon numerous factors, including channel estimation accuracy, which is the focus of this thesis. In particular, the concentration is on estimating the self-interference channel. A novel approach of simultaneous signaling to estimate the self-interference channel in MIMO full-duplex relays is proposed. To achieve this simultaneous communications
and channel estimation, a full-rank pilot signal at a reduced relative power is transmitted simultaneously with a low rank communication waveform. The self-interference mitigation is investigated in the context of eigenvalue spread of spatial relay receive co-variance matrix. Performance is demonstrated by using simulations,
in which orthogonal-frequency division-multiplexing communications and pilot sequences are employed.
The performance of this protection is dependent upon numerous factors, including channel estimation accuracy, which is the focus of this thesis. In particular, the concentration is on estimating the self-interference channel. A novel approach of simultaneous signaling to estimate the self-interference channel in MIMO full-duplex relays is proposed. To achieve this simultaneous communications
and channel estimation, a full-rank pilot signal at a reduced relative power is transmitted simultaneously with a low rank communication waveform. The self-interference mitigation is investigated in the context of eigenvalue spread of spatial relay receive co-variance matrix. Performance is demonstrated by using simulations,
in which orthogonal-frequency division-multiplexing communications and pilot sequences are employed.
ContributorsSekhar, Kishore Kumar (Author) / Bliss, Daniel W (Thesis advisor) / Kitchen, Jennifer (Committee member) / Zhang, Junshan (Committee member) / Arizona State University (Publisher)
Created2014
Description
As the number of devices with wireless capabilities and the proximity of these devices to each other increases, better ways to handle the interference they cause need to be explored. Also important is for these devices to keep up with the demand for data rates while not compromising on industry established expectations of power consumption and mobility. Current methods of distributing the spectrum among all participants are expected to not cope with the demand in a very near future. In this thesis, the effect of employing sophisticated multiple-input, multiple-output (MIMO) systems in this regard is explored. The efficacy of systems which can make intelligent decisions on the transmission mode usage and power allocation to these modes becomes relevant in the current scenario, where the need for performance far exceeds the cost expendable on hardware. The effect of adding multiple antennas at either ends will be examined, the capacity of such systems and of networks comprised of many such participants will be evaluated. Methods of simulating said networks, and ways to achieve better performance by making intelligent transmission decisions will be proposed. Finally, a way of access control closer to the physical layer (a 'statistical MAC') and a possible metric to be used for such a MAC is suggested.
ContributorsThontadarya, Niranjan (Author) / Bliss, Daniel W (Thesis advisor) / Berisha, Visar (Committee member) / Ying, Lei (Committee member) / Arizona State University (Publisher)
Created2014
Description
Great advances have been made in the construction of photovoltaic (PV) cells and modules, but array level management remains much the same as it has been in previous decades. Conventionally, the PV array is connected in a fixed topology which is not always appropriate in the presence of faults in the array, and varying weather conditions. With the introduction of smarter inverters and solar modules, the data obtained from the photovoltaic array can be used to dynamically modify the array topology and improve the array power output. This is beneficial especially when module mismatches such as shading, soiling and aging occur in the photovoltaic array. This research focuses on the topology optimization of PV arrays under shading conditions using measurements obtained from a PV array set-up. A scheme known as topology reconfiguration method is proposed to find the optimal array topology for a given weather condition and faulty module information. Various topologies such as the series-parallel (SP), the total cross-tied (TCT), the bridge link (BL) and their bypassed versions are considered. The topology reconfiguration method compares the efficiencies of the topologies, evaluates the percentage gain in the generated power that would be obtained by reconfiguration of the array and other factors to find the optimal topology. This method is employed for various possible shading patterns to predict the best topology. The results demonstrate the benefit of having an electrically reconfigurable array topology. The effects of irradiance and shading on the array performance are also studied. The simulations are carried out using a SPICE simulator. The simulation results are validated with the experimental data provided by the PACECO Company.
ContributorsBuddha, Santoshi Tejasri (Author) / Spanias, Andreas (Thesis advisor) / Tepedelenlioğlu, Cihan (Thesis advisor) / Zhang, Junshan (Committee member) / Arizona State University (Publisher)
Created2011
Description
This thesis examines the application of statistical signal processing approaches to data arising from surveys intended to measure psychological and sociological phenomena underpinning human social dynamics. The use of signal processing methods for analysis of signals arising from measurement of social, biological, and other non-traditional phenomena has been an important and growing area of signal processing research over the past decade. Here, we explore the application of statistical modeling and signal processing concepts to data obtained from the Global Group Relations Project, specifically to understand and quantify the effects and interactions of social psychological factors related to intergroup conflicts. We use Bayesian networks to specify prospective models of conditional dependence. Bayesian networks are determined between social psychological factors and conflict variables, and modeled by directed acyclic graphs, while the significant interactions are modeled as conditional probabilities. Since the data are sparse and multi-dimensional, we regress Gaussian mixture models (GMMs) against the data to estimate the conditional probabilities of interest. The parameters of GMMs are estimated using the expectation-maximization (EM) algorithm. However, the EM algorithm may suffer from over-fitting problem due to the high dimensionality and limited observations entailed in this data set. Therefore, the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) are used for GMM order estimation. To assist intuitive understanding of the interactions of social variables and the intergroup conflicts, we introduce a color-based visualization scheme. In this scheme, the intensities of colors are proportional to the conditional probabilities observed.
ContributorsLiu, Hui (Author) / Taylor, Thomas (Thesis advisor) / Cochran, Douglas (Thesis advisor) / Zhang, Junshan (Committee member) / Arizona State University (Publisher)
Created2012
Description
We consider the problem of routing packets with end-to-end hard deadlines in multihop communication networks. This is a challenging problem due to the complex spatial-temporal correlation among flows with different deadlines especially when significant traffic fluctuation exists. To tackle this problem, based on the spatial-temporal routing algorithm that specifies where and when a packet should be routed using concepts of virtual links and virtual routes, we proposed a constrained resource-pooling heuristic into the spatial-temporal routing, which enhances the ``work-conserving" capability and improves the delivery ratio. Our extensive simulations show that the policies improve the performance of spatial-temporal routing algorithm and outperform traditional policies such as backpressure and earliest-deadline-first (EDF) for more general traffic flows in multihop communication networks.
ContributorsWang, Weichang (Author) / Ying, Lei (Thesis advisor) / Zhang, Junshan (Committee member) / Ewaisha, Ahmed (Committee member) / Arizona State University (Publisher)
Created2018
Description
This thesis proposes a policy to control the heating, ventilation and air conditioning (HVAC) systems in an industrial building. The policy designed in this thesis aims to minimize the electricity cost of a building while maintaining human comfort. Occupancy prediction and building thermal dynamics are utilized in the policy. Because every building has a power constraint, the policy balances different rooms' electricity needs and electricity price to allocate AC unit power for each room. In particular, energy costs are saved by reducing the system's power for times when the occupancy is low. Human comfort is preserved by restricting the temperature to a given range when the room occupancy is above a preset threshold. This thesis proposes a greedy policy, with provably good performance bound, to reduce costs for a building while maintaining overall comfort levels. The approximation ratio of the policy is developed and analyzed, demonstrating the effectiveness of this approach as compared to an ideal optimal policy.
ContributorsLi, Yangjun (Author) / Zhang, Junshan (Thesis advisor) / Zhang, Yanchao (Committee member) / Ying, Lei (Committee member) / Arizona State University (Publisher)
Created2017
Description
Ethernet switching is provided to interconnect multiple Ethernets for the exchange of Ethernet data frames. Most Ethernet switches require data buffering and Ethernet signal regeneration at the switch which incur the problems of substantial signal processing, power consumption, and transmission delay. To solve these problems, a cross bar architecture switching system for 10GBASE-T Ethernet is proposed in this thesis. The switching system is considered as the first step of implementing a multi-stage interconnection network to achieve Terabit or Petabit switching. By routing customized headers in capsulated Ethernet frames in an out-of-band control method, the proposed switching system would transmit the original Ethernet frames with little processing, thereby makes the system appear as a simple physical medium for different hosts. The switching system is designed and performed by using CMOS technology.
ContributorsLuo, Haojun (Author) / Hui, Joseph (Thesis advisor) / Zhang, Junshan (Committee member) / Reisslein, Martin (Committee member) / Arizona State University (Publisher)
Created2010
Description
The reliable operation of critical infrastructure systems is of significant importance to society. The power grid and the water distribution system are two critical infrastructure systems, each of which is facilitated by a cyber-based supervisory control and data acquisition (SCADA) system. Although critical infrastructure systems are interdependent with each other due to coupling (a power grid may be the electrical supply for a water distribution system), the corresponding SCADA systems operated independently and did not share information with each other. Modern critical infrastructure systems tend to cover a larger geographic area, indicating that a SCADA control station supervising a small area is far from meeting the demands.
In this thesis, the above-mentioned problem is addressed by building a middleware to facilitate reliable and flexible communications between two or more SCADA systems. Software Defined Networking (SDN), an emerging technology providing programmable networking, is introduced to assist the middleware. In traditional networks, network configurations required highly skilled personnel for configuring many network elements. However, SDN separates the control plane from the data plane, making network intelligence logically centralized, and leaving the forwarding switches with easy commands to follow. In this way, the underlying network infrastructures can be easily manipulated by programming, supporting the future dynamic network functions.
In this work, an SDN-assisted middleware is designed and implemented with open source platforms Open Network Operating System (ONOS) and Mininet, connecting the power grids emulator and water delivery and treatment system (WDTS) emulator EPANet. Since the focus of this work is on facilitating communications between dedicated networks, data transmissions in backbone networks are emulated. For the interfaces, a multithreaded communication module is developed. It not only enables real-time information exchange between two SCADA control centers but also supports multiple-to-multiple communications simultaneously. Human intervention is allowed in case of emergency.
SDN has many attractive benefits, however, there are still obstacles like high upgrade costs when implementing this technique. Therefore, rather than replace all the routers at once, incremental deployment of hybrid SDN networks consisting of both legacy routers and programmable SDN switches is adopted in this work. We emulate on the ratio of SDN deployment against the performance of the middleware and the results on the real dataset show that a higher fraction of SDN results in a higher reliability and flexibility of data transmissions. The middleware developed may contribute to the development of the next-generation SCADA systems.
In this thesis, the above-mentioned problem is addressed by building a middleware to facilitate reliable and flexible communications between two or more SCADA systems. Software Defined Networking (SDN), an emerging technology providing programmable networking, is introduced to assist the middleware. In traditional networks, network configurations required highly skilled personnel for configuring many network elements. However, SDN separates the control plane from the data plane, making network intelligence logically centralized, and leaving the forwarding switches with easy commands to follow. In this way, the underlying network infrastructures can be easily manipulated by programming, supporting the future dynamic network functions.
In this work, an SDN-assisted middleware is designed and implemented with open source platforms Open Network Operating System (ONOS) and Mininet, connecting the power grids emulator and water delivery and treatment system (WDTS) emulator EPANet. Since the focus of this work is on facilitating communications between dedicated networks, data transmissions in backbone networks are emulated. For the interfaces, a multithreaded communication module is developed. It not only enables real-time information exchange between two SCADA control centers but also supports multiple-to-multiple communications simultaneously. Human intervention is allowed in case of emergency.
SDN has many attractive benefits, however, there are still obstacles like high upgrade costs when implementing this technique. Therefore, rather than replace all the routers at once, incremental deployment of hybrid SDN networks consisting of both legacy routers and programmable SDN switches is adopted in this work. We emulate on the ratio of SDN deployment against the performance of the middleware and the results on the real dataset show that a higher fraction of SDN results in a higher reliability and flexibility of data transmissions. The middleware developed may contribute to the development of the next-generation SCADA systems.
ContributorsLiu, Beibei (Author) / Zhang, Junshan (Thesis advisor) / Kwan, Sau (Committee member) / Vittal, Vijay (Committee member) / Arizona State University (Publisher)
Created2018