decentralized cognitive mac for opportunistic spectrum access in ad hoc networks: a pomdp framework

Decentralized cognitive medium access control protocols are presented that allow secondary users to recognize spectrum opportunity and transmit based on a partial observation of the instantaneous spectrum availability.

Under a framework of Partially Observable Markov Decision Process (POMDP), we derive optimal and suboptimal decentralized strategies for the secondary users to decide which channel(s) to sense and access for the maximization of the overall network throughput.

The theory of truncated stable distributions is used for the modeling.

This Best Readings is on Cognitive Radio (CR) Communications and Networking.

This is a seminal paper, which for the first time discusses the basic cognitive radio functionalities from communications, signal processing, and networking point of view and introduces methods for radio scene analysis, channel state and interference-temperature estimation, and power control for cognitive radios.

This is an extensive survey on the architecture and protocol design issues for cognitive radio networks or dynamic spectrum access (DSA) networks, also referred to as NeXt Generation (xG) networks.

This book provides a comprehensive coverage on the basic concepts, implementation details, standards, policy issues on cognitive radio technology.

This book provides an all-inclusive introduction to this emerging technology, outlining the fundamentals of cognitive radio-based wireless communication and networking, spectrum sharing models, and the requirements for dynamic spectrum access.

This is a perfect introduction for graduate students and researchers, as well as a useful self-study guide for practitioners.

This is a premier work on the information-theoretic analysis of achievable rate region for a two-sender and two-receiver cognitive radio interference channel.

This is another important work, which analyzes the rate capacity of cognitive radio-based communications under coexistence conditions where a cognitive radio causes to rate degradation for the primary user communication with single-user decoder.

This paper takes a different approach in capacity analysis for wireless multiple access and relay networks under received power constraints and geometric spectrum-sharing constraints.

The capacity analysis considers cooperation, feedback and dependent sources.

This paper is one of the first works that studies the problem of optimizing the sensing duration to maximize the achievable throughput for the secondary network under the constraint that the primary users are sufficiently protected.

The sensing-throughput tradeoff is studied for energy detection and cooperative sensing is also considered.

This paper presents one of the very first attempts to model the effects of uncertainty in noise and channel fading on signal detectioninthe context of cognitive radios coins the term SNR wall - the minimum SNR of the signal below which a detector is not able to detect it reliably no matter how large the sensing duration is.

The paper analyzes the tradeoff between the performance loss to the primary system and the robustness of signal detectionspectrum sensing.

An important work on linear decision fusion for cooperative spectrum sensing - optimal weightings for linearly combining the energies measured at the cognitive radio users such that the probability of detection is maximized with a constraint on the probability of false alarm.

These two papers introduce the novel concept of cooperation through relaying for spectrum sensing and thus exploit spatial diversity for performance gain in spectrum sensing.

Another significant work on decision fusion for cooperative spectrum sensing, which considers correlations among the sensing results in the individual nodes proposes a linear-quadratic (LQ) fusion strategy and compares with counting rule which is linear combining.

This method provides high spectral-resolution capability, estimates the average power in each sub-band of the spectrum, and identifies the unknown directions of interfering signals.

This paper reviews various spectrum-sensing techniques with emphasis on blind sensing techniques, which do not require information about source signals and propagation channels.

The paper provides theoretical analysis on test statistic distribution and threshold setting.

This article provides an excellent exposition to the orthogonal frequency-division multiplexing (OFDM) and transform domain communications system (TDCS) modulation techniques for spectrum overlay-based cognitive radio systems.

This work is an important contribution towards designing low-overhead methods for wide-band spectrum sensing.

In a cognitive radio network with large number of cooperating users and frequency channels, to significantly reduce the overhead of cooperative spectrum sensing to detect spectrum holes, this paper proposes a matrix completion approach along with a novel joint sparsity algorithm.

This paper is a significant contribution towards modeling the distribution of aggregate interference at a primary receiver due to the secondary transmitters in terms of system parameters of a spectrum sensing-based cognitive radio network.

Decentralized Cognitive Mac For Opportunistic Spectrum Access In Ad Hoc Networks: A Pomdp Framework