On precoding diversity in cognitive networks

Yaqot, Abdullah; Hoeher, Peter Adam

doi:10.1109/ict.2016.7500352

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…Inequality (26) shows that (20) with sign (+), definitely have a negative answer. Thus, having 2 positive roots, that is, situation (b), is impossible for (20).…”

Section: Optimal Power Allocationmentioning

confidence: 99%

“…The combination of MIMO and OFDM with CRNs has also been of great interest to the researchers. Equipping CRN with MIMO antennas has been studied in previous studies . This combination enhances spectrum utilization by exploiting more degrees of freedom in the network.…”

Section: Introductionmentioning

confidence: 99%

“…This combination enhances spectrum utilization by exploiting more degrees of freedom in the network. For example, Yaqot and Hoeher proposed a MIMO‐CRN network that enhances spectrum efficiency using an adaptive linear precoder, and in another study, adding network coding to a MIMO‐CRN system, transmission schemes based on cognitive radio‐inspired asymmetric network coding are designed to efficient use of spectrum and improve reliability of the network. Orthogonal frequency division multiplexing technique is also a good candidate to CRNs in which allocating an efficient communication channel to SUs is done on the basis of spectrum pooling method .…”

Section: Introductionmentioning

confidence: 99%

“…[23][24][25] Equipping CRN with MIMO antennas has been studied in previous studies. [26][27][28] This combination enhances spectrum utilization by exploiting more degrees of freedom in the network. For example, Yaqot and Hoeher 26 proposed a MIMO-CRN network that enhances spectrum efficiency using an adaptive linear precoder, and in another study, 27 adding network coding to a MIMO-CRN system, transmission schemes based on cognitive radio-inspired asymmetric network coding are designed to efficient use of spectrum and improve reliability of the network.…”

Section: Introductionmentioning

confidence: 99%

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Achieving maximum bit rate in a cognitive radio network with physical layer network coding

Khosroazad

Abedi

Neda

2018

Int J Communication

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Summary In this paper, the power allocation problem in a relay‐assisted cognitive radio network (CRN) is considered where the secondary users exchange information in an interweave mode on the basis of physical layer network coding. In order to enhance the capacity of CRN, using multiple‐input multiple‐output and orthogonal frequency division multiplexing has become very popular in the literature. This paper goes one step further to improve the throughput of secondary users using physical layer network coding by drawing off the transmission time. The main goal is to maximize the capacity of CRN, while keeping the total interference imposed on the primary users under a certain threshold. An optimal solution to this power allocation problem with limited relay power constraint, due to the limited budget, is derived; however, because of the high complexity of this method, an efficient suboptimal solution is also proposed.

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“…Inequality (26) shows that (20) with sign (+), definitely have a negative answer. Thus, having 2 positive roots, that is, situation (b), is impossible for (20).…”

Section: Optimal Power Allocationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%