Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
By Qing Zhao, Lang Tong, Ananthram Swami, Yunxia Chen. IEEE Journal on Selected Areas in Communications, 2007
1,671 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/bffb85c70c48e321b4a5917bb7063595336aeb75
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Ian F. Akyildiz
- Qing Zhao
- Kobi Cohen
- Oshri Naparstek
- Brian M. Sadler
- Huseyin Arslan
- Kaushik R. Chowdhury
- Rahul Urgaonkar
In Electrical and Electronic Engineering
- Qing Zhao
- Kobi Cohen
- Oshri Naparstek
- Brian M. Sadler
- Ian F. Akyildiz
- Kaushik R. Chowdhury
- H. Vincent Poor
- Rahul Urgaonkar
Citations in the corpus
- Indexability of Restless Bandit Problems and Optimality of Whittle Index for Dynamic Multichannel Access (2008, background): “Related Work Multichannel opportunistic access in the context of cognit ive radio systems has been studied in [17], [18] where the problem is formulated as a Partially O bservable Markov Decision Process (POMDP) to take into account potential correlations among c hannels.”
- Dynamic Spectrum Access: Signal Processing, Networking, and Regulatory Policy (2006, methodology): “One approach to opportunity detection is as follows [18], [19].”
- Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games (2012, background): “, game theory [11], partially observable Markov decision process [12], optimal stopping rule [13], etc.”
- A survey of spectrum sensing algorithms for cognitive radio applications (2009, methodology): “When observation history is used optimally, the throughput of the secondary user can be increased approximately 40% [113], [116].”
- Cognitive Network Interference (2011, background): “Furthermore, we consider the secondary network as a simple ad-hoc network where secondary users join or exit the network , and sense or access the channel independently without coordinating with other secondary users [53]–[55].”
- A survey on MAC protocols for cognitive radio networks (2009, methodology): “A partially slotted single radio MAC protocol based on the theory of partially observable markov decision process (POMDP) is proposed in [26].”
- Revenue generation for truthful spectrum auction in dynamic spectrum access (2009, background): “This has motivated a large number of recent studies on how a secondary user should perform opportunistic spectrum access and how primary and secondary users could co-exist [5,6].”
- A Survey of Dynamic Spectrum Access (2007, neutral): “One approach to opportunity detection is as follows [16]: The transmitter first detects the receiving activities of primary users in its neighborhood (see Figure 2).”
- Stable Throughput of Cognitive Radios With and Without Relaying Capability (2007, background): “4See [2] for a discussion on optimization of the working point on the receiver operating curve at the secondary node.”
- Advances in cognitive radio networks: A survey (2011, background): “…sensing and primary user's traffic statistics, a decision-theoretic approach based on partially observable Markov decision process (POMDP) is proposed in [106], which can optimize secondary users' performance, accommodate spectrum sensing error, and protect primary users from harmful interference .”
- Joint Design and Separation Principle for Opportunistic Spectrum Access in the Presence of Sensing Errors (2007, methodology): “To the best of our knowledge, [20] is the first work that integrates the operating characteristic of the spectrum sensor at the PHY layer with the MAC design.”
- Optimal selection of channel sensing order in cognitive radio (2009, background): “Similar problems of multi-channel medium access control have attracted considerable recent attention.”
- A Survey on Security Threats and Detection Techniques in Cognitive Radio Networks (2013, background): “[97], [98], [99], [100], [101], [102], [103]), facilitate the deployment of cognitive capabilities without any central entity (e.”
- Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access (2017, methodology): “The primary users activity is modeled by Markovian processes as commonly assumed in the literature [3]–[6], [22]–[24], [26].”
- Opportunistic Scheduling with Reliability Guarantees in Cognitive Radio Networks (2008, background): “The problem of optimal spectrum assignment to secondary users in static networks is treated in [4]–[7] where it is assumed that scheduling is aware of primary user transmissions.”