Active learning and CSI acquisition for mmWave initial alignment
Millimeter wave (mmWave) communication with large antenna arrays is a promising
technique to enable extremely high data rates due to large available bandwidth in mmWave …
technique to enable extremely high data rates due to large available bandwidth in mmWave …
Sequential learning of CSI for mmWave initial alignment
MmWave communications aim to meet the demand for higher data rates by using highly
directional beams with access to larger bandwidth. An inherent challenge is acquiring …
directional beams with access to larger bandwidth. An inherent challenge is acquiring …
Resolution limits for the noisy non-adaptive 20 questions problem
We establish fundamental limits on estimation accuracy for the noisy 20 questions problem
with measurement-dependent noise and introduce optimal non-adaptive procedures that …
with measurement-dependent noise and introduce optimal non-adaptive procedures that …
Information-directed random walk for rare event detection in hierarchical processes
The problem of detecting a few anomalous processes among a large number of data
streams is considered. At each time, aggregated observations can be taken from a chosen …
streams is considered. At each time, aggregated observations can be taken from a chosen …
Active beam tracking under stochastic mobility
N Ronquillo, T Javidi - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
In mmWave communications, higher data rate long-range transmission is achieved by using
highly directional beams with access to larger bandwidth. An inherent challenge is tracking …
highly directional beams with access to larger bandwidth. An inherent challenge is tracking …
Low complexity sequential search with size-dependent measurement noise
This paper considers a target localization problem where at any given time an agent can
choose a region to query for the presence of the target in that region. The measurement …
choose a region to query for the presence of the target in that region. The measurement …
Enhancing Noisy Binary Search Efficiency through Deep Reinforcement Learning
Noisy binary search (NBS) aims to find the closest element to a target value within a sorted
array through erroneous queries. In an ideal NBS environment where the error rate remains …
array through erroneous queries. In an ideal NBS environment where the error rate remains …
[图书][B] Noisy binary search: Practical algorithms and applications
SE Chiu - 2019 - search.proquest.com
This dissertation addresses the problem of searching a target within a region by sequential
queries with noisy responses. A Bayesian decision maker is responsible to collect …
queries with noisy responses. A Bayesian decision maker is responsible to collect …
Achievable Resolution Limits of Noisy Adaptive 20 Questions Estimation for Multiple Targets
C Sun, L Zhou - 2023 IEEE International Symposium on …, 2023 - ieeexplore.ieee.org
We study the problem of adaptive search for multiple targets using the framework of 20
questions estimation under the query-dependent noise channel. Specifically, we propose an …
questions estimation under the query-dependent noise channel. Specifically, we propose an …
Achievable resolution limits for the noisy adaptive 20 questions problem
We study the achievable performance of adaptive query procedures for the noisy 20
questions problem with measurement-dependent noise over a unit cube of finite dimension …
questions problem with measurement-dependent noise over a unit cube of finite dimension …