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Radio resource allocation techniques for efficient spectrum access in cognitive radio networks
This paper provides an overview of cognitive radio (CR) networks, with focus on the recent
advances in resource allocation techniques and the CR networks architectural design. The …
advances in resource allocation techniques and the CR networks architectural design. The …
Decision-theoretic distributed channel selection for opportunistic spectrum access: Strategies, challenges and solutions
Opportunistic spectrum access (OSA) has been regarded as the most promising approach to
solve the paradox between spectrum scarcity and waste. Intelligent decision making is key …
solve the paradox between spectrum scarcity and waste. Intelligent decision making is key …
Distributed learning in multi-armed bandit with multiple players
We formulate and study a decentralized multi-armed bandit (MAB) problem. There are M
distributed players competing for N independent arms. Each arm, when played, offers iid …
distributed players competing for N independent arms. Each arm, when played, offers iid …
Distributed algorithms for learning and cognitive medium access with logarithmic regret
The problem of distributed learning and channel access is considered in a cognitive network
with multiple secondary users. The availability statistics of the channels are initially unknown …
with multiple secondary users. The availability statistics of the channels are initially unknown …
Opportunistic spectrum access in unknown dynamic environment: A game-theoretic stochastic learning solution
We investigate the problem of distributed channel selection using a game-theoretic
stochastic learning solution in an opportunistic spectrum access (OSA) system where the …
stochastic learning solution in an opportunistic spectrum access (OSA) system where the …
Multi-player bandits revisited
Abstract Multi-player Multi-Armed Bandits (MAB) have been extensively studied in the
literature, motivated by applications to Cognitive Radio systems. Driven by such applications …
literature, motivated by applications to Cognitive Radio systems. Driven by such applications …
Collaborative learning of stochastic bandits over a social network
We consider a collaborative online learning paradigm, wherein a group of agents connected
through a social network are engaged in learning a stochastic multi-armed bandit problem …
through a social network are engaged in learning a stochastic multi-armed bandit problem …
MABO‐TSCH: multihop and blacklist‐based optimized time synchronized channel hop**
Abstract Emerging Industrial Internet of Things applications, such as smart factories, require
reliable communication and robustness against interference from colocated wireless …
reliable communication and robustness against interference from colocated wireless …
Low-complexity, low-regret link rate selection in rapidly-varying wireless channels
We consider the problem of transmitting at the optimal rate over a rapidly-varying wireless
channel with unknown statistics when the feedback about channel quality is very limited …
channel with unknown statistics when the feedback about channel quality is very limited …
Decentralized learning in online queuing systems
Motivated by packet routing in computer networks, online queuing systems are composed of
queues receiving packets at different rates. Repeatedly, they send packets to servers, each …
queues receiving packets at different rates. Repeatedly, they send packets to servers, each …