2017/2
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- ItemDistributed Matching Algorithms: Maximizing Secrecy in the Presence of Untrusted Relay(Společnost pro radioelektronické inženýrství, 2017-06) Ali, Bakhtiar; Zamir, Nida; Ng, Soon Xin; Butt, Muhammad Fasih UddinIn this paper, we propose a secrecy sum-rate maximization based matching algorithm between primary transmitters and secondary cooperative jammers in the presence of an eavesdropper. More explicitly, we consider an untrusted relay scenario, where the relay is a potential eavesdropper. We first show the achievable secrecy regions employing a friendly jammer in a cooperative scenario with employing an untrusted relay. Then, we provide results for the secrecy regions for two scenarios, where in the first case we consider no direct transmission between the source and the destination, while in the second case we include a source to destination direct link in our communication system. Furthermore, a friendly jammer helps to send a noise signal during the first phase of the cooperative transmission, for securing the information transmitted from the source. In our matching algorithm, the selected cooperative jammer or the secondary user, is rewarded with the spectrum allocation for a fraction of time slot from the source which is the primary user. The Conventional Distributed Algorithm (CDA) and the Pragmatic Distributed Algorithm (PDA), which were originally designed for maximising the user’s sum rate, are modified and adapted for maximizing the secrecy sum-rate for the primary user. Instead of assuming perfect modulation and/or perfect channel coding, we have also investigated our proposed schemes when practical channel coding and modulation schemes are invoked.
- ItemDOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection(Společnost pro radioelektronické inženýrství, 2017-06) Hou, Huijun; Mao, XingpengThe problem of direction-of-arrival (DOA) estimation is important in array signal processing. To estimate the DOAs of uncorrelated, partly correlated and coherent signals, a new iterative DOA estimation algorithm, named AOP-DOA, is proposed by using alternating oblique projection (AOP). In each iteration, the oblique projection approach is employed to separate the received signals, then the DOA of each separated signal is estimated one after another. After theoretical analysis on the relationship between the proposed AOP-DOA and the conventional alternating projection based maximum likelihood estimator (AP-MLE), an AOP&AP-DOA algorithm, which is a combination of AOP-DOA and AP-MLE, is developed to reduce the computational complexity of AOP-DOA. Extensive experiments validate the effectiveness and complexity of the proposed two algorithms. Particularly, AOP&AP-DOA keeps the merits of AOP-DOA, but exhibits superiority over AOP-DOA in terms of computational complexity when proper adaptive grid refinement strategy is applied.
- ItemDetection-Localization Tradeoff in MIMO Radars(Společnost pro radioelektronické inženýrství, 2017-06) Nazari Majd, Mohammad; Radmard, Mojtaba; Chitgarha, Mohammad M.; Bastani, Mohammad H.; Nayebi, Mohammad M.Two gains play key roles in recently developed MIMO wireless communication systems: "spatial diversity" gain and "spatial multiplexing" gain. The diversity gain refers to the capability to decrease the error rate of the MIMO channel, while the multiplexing gain implicitly refers to the amount of increase in the capacity of the MIMO channel. It has been shown that there is a fundamental tradeoff between these two types of gains, meaning interplay between increasing reliability (via an increase in the diversity gain) and increasing data rate (via an increase in the multiplexing gain). On the other hand, recently, MIMO radars have attracted much attention for their superior ability to enhance the system's performance. As a MIMO system, it is expected that the mentioned diversity-multiplexing tradeoff exists in a MIMO radar, too. In this paper, this tradeoff is studied and verified in MIMO radars with widely separated antennas. In more details, it will be shown that increasing dependency between transmit-receive links results in higher diversity gain and lower multiplexing gain, and vice versa. Then, the optimal tradeoff is introduced, i.e., the conditions that the MIMO radar system should have, so that the diversity-multiplexing tradeoff is at its optimum point, are driven.
- ItemModeling and Link Performance Analysis of Busbar Distribution Systems for Narrowband PLC(Společnost pro radioelektronické inženýrství, 2017-06) Hasirci, Zeynep; Cavdar, Ismail Hakki; Ozturk, MehmetBusbar distribution system is used as a modular infrastructure to carry electrical energy in low voltage grid. Due to the widespread usage in industrial areas, the power line communication possibilities should be investigated in terms of smart grid concept. This paper addresses modeling of the busbar distribution system as a transmission line and gives some suggestions on the link performance for narrowband power line communication for the first time in literature. Firstly, S-parameters of different current level busbars were measured up to 500 kHz for all possible two-port signal paths. The utilization of the frequency-dependent model was proposed to extract transmission line characteristics to eliminate the unwanted measurement effects. Particle swarm algorithm was used to optimize the model parameters with a good agreement between measured and simulated S-parameters. Additionally, link performance of busbar distribution system as a power line communication channel at 3 kHz-148.5 kHz band was examined for frequency shift keying and phase shift keying modulations under different network configurations such as varying busbar type, the line length between transmitter and receiver, branch number, and terminating load impedance. Obtained results were presented as bit-error-rate vs. signal to noise ratio graphs.
- ItemDistributed Aggregate Function Estimation by Biphasically Configured Metropolis-Hasting Weight Model(Společnost pro radioelektronické inženýrství, 2017-06) Kenyeres, Martin; Kenyeres, Jozef; Skorpil, Vladislav; Burget, RadimAn energy-efficient estimation of an aggregate function can significantly optimize a global event detection or monitoring in wireless sensor networks. This is probably the main reason why an optimization of the complementary consensus algorithms is one of the key challenges of the lifetime extension of the wireless sensor networks on which the attention of many scientists is paid. In this paper, we introduce an optimized weight model for the average consensus algorithm. It is called the Biphasically configured Metropolis-Hasting weight model and is based on a modification of the Metropolis-Hasting weight model by rephrasing the initial configuration into two parts. The first one is the default configuration of the Metropolis-Hasting weight model, while, the other one is based on a recalculation of the weights allocated to the adjacent nodes’ incoming values at the cost of decreasing the value of the weights of the inner states. The whole initial configuration is executed in a fully-distributed manner. In the experimental section, it is proven that our optimized weight model significantly optimizes the Metropolis-Hasting weight model in several aspects and achieves better results compared with other concurrent weight models.