Cognitive functionality in next generation wireless networks: standardization efforts

Prasad, R. Venkatesha; Pawełczak, Przemysław; Hoffmeyer, J.; Berger, Hilary

doi:10.1109/mcom.2008.4481343

Cited by 116 publications

(49 citation statements)

References 4 publications

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“…Moreover, more measurements and measurement vehicles enhance the resolution of monitoring network. Frequenz 64 (2010) [11][12] …”

Section: Discussionmentioning

confidence: 99%

“…Also, the vast amount of measurement data can be used as input for DSA enabled radios to facilitate the search for the appropriate white space. There exists already quite some literature that describes how to allocate [2], [3], [4], [5], [6], [7], manage [8], [9], [10], [11], standardize [12], [13], [14], [15], and use the spectrum as secondary user [16], [17], [18], [19] (e. g. Spectrum User Rights (SUR), Dynamic Spectrum Access (DSA), Dynamic Spectrum Management (DSM)) in an efficient way. Moreover, how it affects current regulation [20], [21], [22], [23], [24], [25], [26], [27] that argue the need for a monitoring network to assure compliance of (DSA) radio equipment with regulatory rules [20], [23].…”

Section: Introductionmentioning

confidence: 99%

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A Monitoring Network for Spectrum Governance

Schiphorst¹,

Slump²

2010

Frequenz

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-Dynamic Spectrum Access (DSA) is an exciting new technology, which has introduced a paradigm shift in spectrum access. As a result it also changes the role of the regulator. On one hand the scarce radio spectrum should be used in an optimal way, so that society is best served. On the other hand interference between users and between networks should be avoided. For that reason rules have to be defined for spectrum use. This topic is called spectrum governance. For evaluation and to check whether devices obey the rules, a monitoring system is needed. In this paper, we propose to use a fleet of mobile monitoring vehicles for this purpose.

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“…Moreover, more measurements and measurement vehicles enhance the resolution of monitoring network. Frequenz 64 (2010) [11][12] …”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Monitoring Network for Spectrum Governance

Schiphorst¹,

Slump²

2010

Frequenz

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“…The distance between CBS and some PBS is 2d = 2000 m. We select the long-term evolution (LTE) as the background PRNs. According to the proposal of IEEE 1900, LTE network will adopt the DSA technique, and all radios are equipped with cognitive functionality in the near future [35,36]. In all simulations presented in this section, the COST-231 Hata path loss model is considered [37].…”

Section: Segmentmentioning

confidence: 99%

Adaptive resource allocation for cognitive radio networks with multiple primary networks

Wang

Zhang

et al. 2012

J Wireless Com Network

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In this article, adaptive resource allocation (ARA) is investigated for multiple primary networks based-cognitive radio networks under a more practical system model, where the bandwidth of each secondary user is assumed to be limited and the maximum allowable interference for each primary network is different. We first formulate the ARA as a constrained optimization problem with the objective function of maximizing the proportional fairness-based ergodic sum capacity. The multiple constraints optimization problem is NP-hard and therefore, we propose a scheme to decompose the optimization problem into two unconstrained optimization problems by designing alternative objective functions and penalty functions. Then, a suboptimal heuristic solution framework based on particle swarm optimization is proposed to solve the unconstrained optimization problems. Computation simulations are carried out and the results show that the proposed scheme outperforms traditional ARA schemes.

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“…By assigning the CR users different priorities, i.e., primary users (or non-cognitive users), denoted as U A , and secondary users (or cognitive users), denoted as U B , both types of user are able to coexist in a neat way and fully utilize all of the spectrum resources. As a result, CR provides a highly promising solution for future wireless systems [4].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis and power allocation strategy in single-antenna cognitive overlay systems

Lin

Tseng

2015

J Wireless Com Network

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A power allocation strategy is proposed for single-antenna overlay cognitive radio networks, in which the secondary user helps transmit the signal of the primary user while concurrently conveying its own signal by means of a superposition coding technique. The study commences by deriving analytical expressions for the bit error rates (BERs) of the primary and secondary users. A power allocation strategy is then proposed for minimizing the total power consumption of the two users while simultaneously satisfying their respective BER constraints. The analytical BER formulas are not convex, and hence the optimization process presents a significant challenge. Accordingly, two more tractable BER approximations for the primary and secondary users are proposed to transfer the non-convex problem into a convex one. The simulation results confirm the effectiveness of the proposed power allocation strategy under various channel environments.

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Cognitive functionality in next generation wireless networks: standardization efforts

Cited by 116 publications

References 4 publications

A Monitoring Network for Spectrum Governance

A Monitoring Network for Spectrum Governance

Adaptive resource allocation for cognitive radio networks with multiple primary networks

Performance analysis and power allocation strategy in single-antenna cognitive overlay systems

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