Uplink resource allocation in multiuser multicarrier cognitive radio networks under power amplifier nonlinearity

Baghani, Mina; Mohammadi, Abbas; Majidi, Mahdi; Valkama, Mikko

doi:10.1002/ett.3162

Cited by 9 publications

(4 citation statements)

References 39 publications

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“…Baghani et al investigated the issue of uplink subcarriers and power allocation by studying the nonlinear distortion effects of power amplifiers. They formulated a convex optimization problem considering interference power as constraints to minimize the interference which is created to the other SUs by out‐of‐band emissions of a nonlinear power amplifier.…”

Section: Channel Assignment In Literaturementioning

confidence: 99%

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Gupta

Dhurandher

2019

Int J Communication

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Summary With the advent of various emerging wireless products, the usage of limited spectrum has grown exponentially in the recent years. In the next few years, that mobile data traffic globally is expected to grow up to 50 EB/month, which is nearly a five times increase over year 2018. Therefore, it will become extremely difficult to satisfy the ever increasing demand through the current fixed spectrum assignment policy in which spectrum band is exclusively used for the particular applications, and it has also led to underutilization of a significant portion of the spectrum (like TV bands). Cognitive radio networks has emerged as a possible solution for the problem which makes dynamic spectrum access possible for unlicensed user when licensed user is not active. Among various operations of cognitive radio, channel assignment to the unlicensed user is very important. Further, wireless regional area network is one of the most important application of cognitive radio, which provides wireless broadband to the rural area using vacant TV channels. This paper discusses channel assignment techniques considering various functionalities for cognitive radio networks in respect of wireless regional area network in the existing literature. Initially, a comprehensive introduction to both cognitive radio networks and wireless regional area networks is provided, and in the end, the paper summarizes the various issues and research challenges in the channel assignment for wireless regional area networks.

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Section: Channel Assignment In Literaturementioning

confidence: 99%

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Gupta

Dhurandher

2019

Int J Communication

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“…Al‐Imari et al maximized the sum rate after considering the system with finite symbol alphabet input. Baghani et al studied the nonlinear distortion effects of power amplifiers for uplink subcarriers and power allocation. The out‐of‐band emissions of a nonlinear power amplifier, which create interference to the other users, is minimized by formulating it as a convex optimization problem with interference power constraints.…”

Section: Related Workmentioning

confidence: 99%

Subcarriers assignment scheme for multiple secondary users in OFDMA‐based IEEE 802.22 WRAN: A game theoretic approach

Gupta

Dhurandher

Woungang

2018

Trans Emerging Tel Tech

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In this work, cognitive radio and orthogonal frequency division multiple access–based IEEE 802.22 wireless regional area networks is considered. Generally, subchannel is assigned to the user having the best channel gain to that subchannel and problem is known to be NP‐hard. This assignment sometimes results in the unfair allocation where user with best channel gain is allocated more carriers as compared with the user with worst channel condition. In this work, a suboptimal algorithm is developed in which initially optimal number of subcarriers are found considering the equal power distribution. The problem is formulated as an oligopoly market competition and a noncooperative Cournot game is used in which different unlicensed secondary users (SUs) compete for the number of subcarriers based upon the data rate they are getting from current channel condition. The fair distribution of subcarriers is ensured by finding the Nash equilibrium. After subchannels are assigned to the SUs, power allocation is performed for each user with the water‐filling algorithm. Simulation results show that the proposed approach can attain superior performance over considered benchmark scheme in the literature in terms of minimum data rate and fairness achieved by the SU. Results validating fair allocation of subcarriers is also shown.

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“…Also, authors in [12] provide SIR for uplink orthogonal frequency division multiple access (OFDMA) with large timing/carrier frequency offsets. The SIR of the output signal of non-linear power amplifier for OFDMA is derived in [13], considering a non-uniform power distribution in subcarriers. In recent years, the impacts of some RF impairments on the GFDM waveforms have been studied.…”

Section: Introductionmentioning

confidence: 99%

Characterization of GFDM Signal with Timing Offset, CFO, Non-Linearity, and PN

Yazdani

Mohammadi

Abdipour

et al. 2021

Preprint

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In this paper, we study the joint effects of timing offset (TO), carrier frequency offset (CFO), nonlinear power amplifier distortion, and phase noise (PN) on generalized frequency division multiplexing (GFDM) system. Closed form expressions for signal-to-interference ratio (SIR) at GFDM receiver with synchronization errors and PN using a nonlinear power amplifier is derived. Then, we have been conducted simulation studies to compare the performance of GFDM systems with orthogonal frequency division multiplexing (OFDM) systems using matched filter (MF) and zero forcing (ZF), in presence of these impairments. The results show that GFDM systems are more robust against TO and PN while they are more sensitive to CFO and nonlinear distortion compared to OFDM systems.

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Uplink resource allocation in multiuser multicarrier cognitive radio networks under power amplifier nonlinearity

Cited by 9 publications

References 39 publications

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Subcarriers assignment scheme for multiple secondary users in OFDMA‐based IEEE 802.22 WRAN: A game theoretic approach

Characterization of GFDM Signal with Timing Offset, CFO, Non-Linearity, and PN

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