MIMO-OFDM Based Cognitive Radio for Modulation Recognition

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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“…However, according to (25), at least one of the roots in (20) will be negative. It means the existence of 2 positive roots is impossible, because…”

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%

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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“…Recent CR designs have adopted the orthogonal frequency division multiplexing (OFDM) modulation due to its capability to dynamically adjust its operating parameters [84], its high spectrum utilization and excellent performance over frequency selective channels [85]. In the OFDM based communications, the bandwidth of the transmission could be very large such that the ordinary sampling circuits suffer from high sampling rates, which also affects signal processing speed and system power consumption [3].…”

Section: Cs-based Ofdm Receivermentioning

confidence: 99%

Sub-nyquist sampling techniques for cognitive radio applications

Chen¹

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MIMO-OFDM Based Cognitive Radio for Modulation Recognition

Cited by 2 publications

References 8 publications

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

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

Sub-nyquist sampling techniques for cognitive radio applications

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