Content tagged with wireless

• [C79] Online convex optimization in wireless networks and beyond: The feedback-performance trade-off
• [J32] Fast optimization with zeroth-order feedback in distributed multi-user MIMO systems
• [C52] Derivative-free optimization over multi-user MIMO networks
• [J28] Online power optimization in feedback-limited, dynamic and unpredictable IoT networks
• [C47] Gradient-free online resource allocation algorithms for dynamic wireless networks
• [C38] Power control with random delays: Robust feedback averaging
• [J22] Distributed stochastic optimization via matrix exponential learning
• [J20] Semi-cognitive radio networks: A novel dynamic spectrum sharing mechanism
• [C30] Least action routing: Identifying the optimal path in a wireless relay network
• [C29] Power control in wireless networks via dual averaging
• [J16] Power optimization in random wireless networks
• [J15] A stochastic approximation algorithm for stochastic semidefinite programming
• [J14] Learning to be green: Robust energy efficiency maximization in dynamic MIMO-OFDM systems
• [J12] Learning in an uncertain world: MIMO covariance matrix optimization with imperfect feedback
• [C25] Interference mitigation via pricing in time-varying cognitive radio systems
• [C24] Distributed learning for resource allocation under uncertainty
• [C23] Online interference mitigation via learning in dynamic IoT environments
• [C22] Online power allocation for opportunistic radio access in dynamic OFDM networks
• [C21] A novel dynamic network architecture model based on stochastic geometry and game theory
• [W1] Power control via online learning in non-stationary MIMO networks
• [J10] Interference-based pricing for opportunistic multi-carrier cognitive radio systems
• [J9] Energy-aware competitive power allocation for heterogeneous networks under QoS constraints
• [C20] Cost-efficient power allocation in OFDMA cognitive radio networks
• [C19] No more tears: A no-regret approach to power control in dynamically varying MIMO networks
• [C18] Energy-efficient power allocation in dynamic multi-carrier systems
• [J7] Transmit without regrets: Online optimization in MIMO–OFDM cognitive radio systems
• [C17] No regrets: Distributed power control under time-varying channels and QoS requirements
• [C16] Distributed optimization in multi-user MIMO systems with imperfect and delayed information
• [C15] Adaptive transmit policies for cost-efficient power allocation in multi-carrier systems
• [C14] Energy-aware competitive link adaptation in small-cell networks
• [C13] Adaptive spectrum management in MIMO-OFDM cognitive radio: An exponential learning approach
• [C12] Entropy-driven optimization dynamics for Gaussian vector multiple access channels
• [C10] Riemannian-geometric optimization methods for MIMO multiple access channels
• [J5] Distributed learning policies for power allocation in multiple access channels
• [C9] Strange bedfellows: Riemann, Gibbs and vector Gaussian multiple access channels
• [C8] Matrix exponential learning: Distributed optimization in MIMO systems
• [J3] Living at the edge: A large deviations approach to the outage MIMO capacity
• [C6] Dynamic power allocation games in parallel multiple access channels
• [C5] Distribution of MIMO mutual information: A large deviations approach
• [J1] Correlated anarchy in overlapping wireless networks
• [C3] Vertical handover between wireless standards
• [C2] Vertical handover between wireless service providers
• [C1] The simplex game: Can selfish users learn to operate efficiently in wireless networks?