Subcarrier and power allocation schemes for multiuser OFDM-based cognitive radio systems

Chakraborty, Shoubhik; Dhanuka, Praveen; Kumar, Anand; Maity, Santi P.

doi:10.1109/ncc.2013.6487928

Cited by 5 publications

(7 citation statements)

References 7 publications

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“…The distance between D2D pairs varies depending on their relative position in the cell. All other simulation parameters are considered according to Table 4 In order to evaluate the performance of the proposed algorithm, we compared our algorithm with the most popular schemes : uniform power loading, water-filling schemes [76], and ladder/triangular profile power allocation [117,118]. In the uniform power loading scheme, uniform power is loaded into each subcarrier and it only consider total power constraint C2.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…In ladder profile scheme [117], power is distributed in such a fashion so that the subcarriers that are adjacent to the PU bands, are given less power where as the subcarriers that are far away to the PU bands, are given more power. According to the triangular power allocation scheme in [118], power allocated to the subcarriers near the PUs is small and gradually increase as move towards the middle. Thus maximum power is allocated to the middle most subcarrier.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…In order to maximize the SUs' transmission capacity by adjusting the power allocation across the subcarriers, two suboptimal schemes for subcarrier allocation with associated triangular and Gaussian power loading mechanism are studied in [80]. Here, these schemes maintain the total power used within the power budget and also the interference at the PUs within a permissible threshold limit.…”

Section: Introductionmentioning

confidence: 99%

“…With the total power constraint and the power constraint on each subchannel, an iterative partitioned water-filling (IPWF) algorithm was proposed in [88] to realize optimal power allocation in OFDM based CRNs. Improve capacity while the interference power for PUs stays at constant level Total transmit power and interference constraints A grouping scheme based on the interference channel gain, pulse shape and frequency distance is considered [80], 2013…”

Section: Introductionmentioning

confidence: 99%

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Resource allocation strategies in cognitive radio D2D communication networks

Sultana¹

2021

Preprint

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Device-to-device (D2D) communication is developed as a new paradigm to enhance net- work performance according to LTE and WiMAX advanced standards. On the other hand, cognitive radio (CR) approach provides efficient spectral usage using intelligent wireless nodes. In this thesis, a number of optimal resource allocation strategies for D2D communi- cation networks are investigated using the CR approach. As a first step, the CR approach in radio access networks is introduced. In the second step, the taxonomy of the RA process in CRNs is provided. For radio resource allocation (RRA), the most crucial task is to associate a user with a particular serving base station, to assign the channel and to allocate the power efficiently. In this thesis, a subcarrier assignment scheme and a power allocation algorithm using geometric water-filling (GWF) is presented for orthogonal frequency division multiplexing (OFDM) based CRNs. This algorithm is proved to maximize the sum rate of secondary users by allocating power more efficiently. Then, the RA problem is studied to jointly employ CR technology and D2D communication in cellular networks in terms of spectral efficiency (SE) and energy efficiency (EE). In the first case, in terms of SE, a two-stage approach is considered to allocate the radio resource efficiently where a new adaptive subcarrier allocation (ASA) scheme is designed first and then a novel power allocation (PA) scheme is developed utilizing proven GWF approach that can compute exact solution with less computation. In the second case, in terms of EE, the power allocation problem of cellular networks that co-exist with D2D communication considering both underlay and overlay CR approaches are investigated. A proven power allocation algorithm based on GWF approach is utilized to solve the EE maximization problem which results in an “exact" and “low complexity" solution.

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Section: Performance Evaluationmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resource allocation strategies in cognitive radio D2D communication networks

Sultana¹

2021

Preprint

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“…In [9], they proposed a new centralized power allocation technique considering departure and arrival of primary users that maximizes total capacity for the cognitive user while regarding an average interference constraint. Authors [10] have proposed suboptimal schemes for subcarrier allocation with associated power loading technique for the OFDM-CR systems. In [11], a power allocation grouping scheme for orthogonal *For correspondence frequency division multiplexing (OFDM)-based Cognitive Radio systems is proposed that can improve capacity while the interference power for primary user receivers stays at constant level.…”

Section: Introductionmentioning

confidence: 99%

Fairness and throughput enhancement based resource allocation scheme for underlay cognitive radio networks

2018

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Acquiring good throughput and diminishing interference to primary users (PU) are the main objectives for secondary users in a cognitive radio (CR) network. This paper proposes a centralized subcarrier and power allocation scheme for underlay multiuser orthogonal frequency division multiplexing considering the rate loss and the interference those the PU can tolerate. The main purpose of the proposed scheme is to efficiently distribute the available subcarriers among cognitive users to enhance both the fairness and the throughput performance of the cognitive network while maintaining the QoS of primary users. Simulation results show that the proposed scheme achieves a significantly higher CR network throughput than that of the conventional interference power constraint (IPC) based schemes and provides a significantly enhanced fairness performance. Also, contrary to the conventional IPC based schemes, the proposed scheme is able to significantly increase the achieved throughput as the number of CR users increases.

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