Agility improvement through cooperative diversity in cognitive radio
By Ghurumuruhan Ganesan, Geoffrey Y. Li. GLOBECOM '05. IEEE Global Telecommunications Conference, 2005., 2005
296 citations recorded by the source corpus.
In this paper, we illustrate the benefits of cooperation in cognitive radio. Cognitive (unlicensed) users need to continuously monitor spectrum for the presence of primary (licensed) users. We show that by allowing the cognitive radios operating in the same band to cooperate we can reduce the detection time and thus increase the overall agility. We first consider the case of two cognitive users and show how the inherent asymmetry in the network can be exploited to increase the agility. We then extend our protocol to study multi-user multi-carrier cognitive network. We compare our cooperation scheme with the non-cooperation scheme and derive expressions for agility gain. We show that our cooperation scheme reduces the detection time for the cognitive users by as much as 35%
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/68d1431cebfa3ce1221b04cb0ab9cf8cc705f80d
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
- Geoffrey Y. Li
- Khaled Ben Letaief
- H. Vincent Poor
- Shuguang Cui
- Rui Zhang
- Wei Zhang
- Ying-Chang Liang
In Electrical and Electronic Engineering
- Geoffrey Y. Li
- Ian F. Akyildiz
- H. Vincent Poor
- Khaled Ben Letaief
- Shuguang Cui
- Wei Zhang
- Rui Zhang
- Ying-Chang Liang
Citations in the corpus
- NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey (2006, background): “• Detection capability: One of the main requirements of xG networks is the detection of the primary users in a very short time [24] [53].”
- Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks (2008, background): “To combat these effects, cooperative spectrum sensing schemes have been proposed to take advantage of the spatial diversity in wireless channels [5]–[8].”
- Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective (2009, background): “The plurality of problems encountered in sensing has attracted a lot of research activity (see [86]–[90] and references therein).”
- Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks (2007, background): “A short version of the results in this paper can be found in [18] and [19].”
- Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks (2008, background): “The crucial task of spec-Subbands occupied by primary users Spectrum holes trum sensing is to sense the K frequency bands and identify spectral holes for opportunistic use.”
- A survey of spectrum sensing algorithms for cognitive radio applications (2009, background): “Energy detector based approach, also known as radiometry or periodogram, is the most common way of spectrum sensing because of its low computational and implementation complexities [15], [19], [23]–[26], [29], [31], [34], [41], [44], [45], [48]–[63].”
- Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Systems (2007, background): “Another kind of cooperative spectrum sensing was recently proposed in [7], where the cognitive user with a high signal-to-noise ratio (SNR) is regarded as a relay to forward its observation to the one on the boundary of decidability region of the primary user.”
- COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - The Throughput Potential of Cognitive Radio: A Theoretical Perspective (2007, background): “The solution to this problem is, fundamentally, to take a collaborative approach to sensing [9]–[11].”
- Cooperative spectrum sensing in cognitive radio networks (2005, methodology): “In [6], we describe a cooperation scheme where the relay user is assumed to have no power constraint.”
- Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks (2008, background): “In [15], the authors exploited the fact that summing signals from two secondary users can increase the signal-to-noise ratio (SNR) and detection reliability if the signals are correlated.”