Fading Channel

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Lorenzo Maggi - One of the best experts on this subject based on the ideXlab platform.

  • ISWCS - Slow Fading Channel selection: A restless multi-armed bandit formulation
    2012 International Symposium on Wireless Communication Systems (ISWCS), 2012
    Co-Authors: Konstantin Avrachenkov, Laura Cottatellucci, Lorenzo Maggi
    Abstract:

    We deal with a multi-access wireless network in which transmitters dynamically select a frequency band to communicate on. The slow Fading Channel attenuations follow an autoregressive model. In the single user case, we formulate this selection problem as a restless multi-armed bandit problem and we propose two strategies to dynamically select a band at each time slot. Our objective is to maximize the SNR in the long run. Each of these strategies is close to the optimal strategy in different regimes. In the general case with several users, we formulate the problem as a stochastic game with uncountable state space, where the objective is the SINR. Then we propose two strategies to approximate the best response policy for one user when the other users' strategy is fixed.

  • Slow Fading Channel selection: A restless multi-armed bandit formulation
    2012 International Symposium on Wireless Communication Systems (ISWCS), 2012
    Co-Authors: Konstantin Avrachenkov, Laura Cottatellucci, Lorenzo Maggi
    Abstract:

    We deal with a multi-access wireless network in which transmitters dynamically select a frequency band to communicate on. The slow Fading Channel attenuations follow an autoregressive model. In the single user case, we formulate this selection problem as a restless multi-armed bandit problem and we propose two strategies to dynamically select a band at each time slot. Our objective is to maximize the SNR in the long run. Each of these strategies is close to the optimal strategy in different regimes. In the general case with several users, we formulate the problem as a stochastic game with uncountable state space, where the objective is the SINR. Then we propose two strategies to approximate the best response policy for one user when the other users' strategy is fixed.

Tungsang Ng - One of the best experts on this subject based on the ideXlab platform.

Lijun Zhang - One of the best experts on this subject based on the ideXlab platform.

Konstantin Avrachenkov - One of the best experts on this subject based on the ideXlab platform.

  • ISWCS - Slow Fading Channel selection: A restless multi-armed bandit formulation
    2012 International Symposium on Wireless Communication Systems (ISWCS), 2012
    Co-Authors: Konstantin Avrachenkov, Laura Cottatellucci, Lorenzo Maggi
    Abstract:

    We deal with a multi-access wireless network in which transmitters dynamically select a frequency band to communicate on. The slow Fading Channel attenuations follow an autoregressive model. In the single user case, we formulate this selection problem as a restless multi-armed bandit problem and we propose two strategies to dynamically select a band at each time slot. Our objective is to maximize the SNR in the long run. Each of these strategies is close to the optimal strategy in different regimes. In the general case with several users, we formulate the problem as a stochastic game with uncountable state space, where the objective is the SINR. Then we propose two strategies to approximate the best response policy for one user when the other users' strategy is fixed.

  • Slow Fading Channel selection: A restless multi-armed bandit formulation
    2012 International Symposium on Wireless Communication Systems (ISWCS), 2012
    Co-Authors: Konstantin Avrachenkov, Laura Cottatellucci, Lorenzo Maggi
    Abstract:

    We deal with a multi-access wireless network in which transmitters dynamically select a frequency band to communicate on. The slow Fading Channel attenuations follow an autoregressive model. In the single user case, we formulate this selection problem as a restless multi-armed bandit problem and we propose two strategies to dynamically select a band at each time slot. Our objective is to maximize the SNR in the long run. Each of these strategies is close to the optimal strategy in different regimes. In the general case with several users, we formulate the problem as a stochastic game with uncountable state space, where the objective is the SINR. Then we propose two strategies to approximate the best response policy for one user when the other users' strategy is fixed.

Pablo Piantanida - One of the best experts on this subject based on the ideXlab platform.

  • The Second-Order Coding Rate of the MIMO Quasi-Static Rayleigh Fading Channel
    IEEE Transactions on Information Theory, 2015
    Co-Authors: Jakob Hoydis, Romain Couillet, Pablo Piantanida
    Abstract:

    The second-order coding rate of the multiple-input multiple-output (MIMO) quasi-static Rayleigh Fading Channel is studied. We tackle this problem via an information-spectrum approach and statistical bounds based on recent random matrix theory techniques. We derive a central limit theorem (CLT) to analyze the information density in the regime where the block length n and the number of transmit and receive antennas K and N, respectively, grow simultaneously large. This result leads to the characterization of closed-form upper and lower bounds on the optimal average error probability when the coding rate is within O(1/√(nK)) of the asymptotic capacity.