The search functionality is under construction.
The search functionality is under construction.

Keyword Search Result

[Keyword] wireless communication system(5hit)

1-5hit
  • Optimization by Neural Networks in the Coherent Ising Machine and its Application to Wireless Communication Systems Open Access

    Mikio HASEGAWA  Hirotake ITO  Hiroki TAKESUE  Kazuyuki AIHARA  

     
    INVITED PAPER-Wireless Communication Technologies

      Pubricized:
    2020/09/01
      Vol:
    E104-B No:3
      Page(s):
    210-216

    Recently, new optimization machines based on non-silicon physical systems, such as quantum annealing machines, have been developed, and their commercialization has been started. These machines solve the problems by searching the state of the Ising spins, which minimizes the Ising Hamiltonian. Such a property of minimization of the Ising Hamiltonian can be applied to various combinatorial optimization problems. In this paper, we introduce the coherent Ising machine (CIM), which can solve the problems in a milli-second order, and has higher performance than the quantum annealing machines especially on the problems with dense mutual connections in the corresponding Ising model. We explain how a target problem can be implemented on the CIM, based on the optimization scheme using the mutually connected neural networks. We apply the CIM to traveling salesman problems as an example benchmark, and show experimental results of the real machine of the CIM. We also apply the CIM to several combinatorial optimization problems in wireless communication systems, such as channel assignment problems. The CIM's ultra-fast optimization may enable a real-time optimization of various communication systems even in a dynamic communication environment.

  • Blind Channel Estimation by EM Algorithm for OFDM Systems

    Hirokazu ABE  Masahiro FUJII  Takanori IWAMATSU  Hiroyuki HATANO  Atsushi ITO  Yu WATANABE  

     
    PAPER

      Vol:
    E100-A No:1
      Page(s):
    210-218

    It is necessary to estimate channel state information coherently to equalize the received signal in wireless communication systems. The pilot symbol, known at the receiver, aided channel estimator degrades the transmission efficiency because it requires the signal spaces and the energy for the transmission. In this paper, we assume a fixed wireless communication system in line of sight slowly varying channel and propose a new blind channel estimation method without help from the pilot symbol for Orthogonal Frequency Division Multiplexing systems. The proposed estimator makes use of the Expectation-Maximization algorithm and the correlation property among the channel frequency responses by considering the assumed channel environment. By computer simulations, we show that the proposed estimator can asymptotically achieve bit error rate performance by using the ideal channel estimation.

  • Reliable Key Distribution Scheme for Lossy Channels

    Ryuzou NISHI  Yoshiaki HORI  Kouichi SAKURAI  

     
    LETTER-Key Management

      Vol:
    E91-D No:5
      Page(s):
    1485-1488

    We address reliable key distribution scheme for lossy channels such as wireless or power line. In the key distribution over these lossy channels, if key information is lost, there is critical issue that the subsequent communication is disabled. In this paper, we show that our proposal has more reliable property than the related works and has the reliable property equivalent to the dedicated communication channels such as Ethernet.

  • The Weights Determination Scheme for MIMO Beamforming in Frequency-Selective Fading Channels

    Huy Hoang PHAM  Tetsuki TANIGUCHI  Yoshio KARASAWA  

     
    PAPER-Wireless Communication Technology

      Vol:
    E87-B No:8
      Page(s):
    2243-2249

    Smart or adaptive antennas promise to provide significant space-time communications against fading in wireless communication systems. In this paper, we propose multiple-input multiple-output (MIMO) beamforming for frequency-selective fading channels to maximize the Signal-to-Noise and Interference Ratio (SINR) based on an iterative update algorithm of transmit and receive weight vectors with prior knowledge of the channel state information (CSI) at both the transmitter and receiver. We derive the necessary conditions for an optimum weight vector solution and propose an iterative weight update algorithm for an optimal SINR reception. The Maximum Signal-to-Noise (MSN) method, where noise includes the additive gaussian noise and interference signals, is used as a criterion. The proposed MIMO with M N arrays allows the cancellation of M + N - 2 delayed channels. Computer simulations are presented to verify our analysis. The results show that significant improvements in performance are possible in wireless communication systems.

  • Fundamental Perspective of Future High Power Devices and Amplifiers for Wireless Communication Systems

    Yasushi ITOH  Kazuhiko HONJO  

     
    INVITED PAPER

      Vol:
    E86-C No:2
      Page(s):
    108-119

    Fundamental perspective of high power devices and amplifiers for use in wireless communication systems are described in this paper. First, high power devices and device modeling techniques are presented, focusing on the emerging device technologies such as wide bandgap devices (GaN, SiC) and SiGe devices. Then the commercially available device, circuit and system simulators for wireless communication applications are introduced. Recent active load-pull measurements have made a remarkable progress in fundamental, harmonic, and envelope frequencies for high efficiency and low distortion designs. In addition, pulsed DC/RF and on wafer load-pull measurements have also become popular, which are briefly reviewed. Finally the advances in high power amplifier design techniques for achieving high efficiency and low distortion are presented.