Power allocation grouping scheme considering constraints in two separate stages for OFDM-based cognitive radio system

Hosseini, Elham; Falahati, Abolfazl

doi:10.1109/eict.2014.6777841

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…In [8], the interference can be categorized into two groups known as in-band and out-of-band interferences, the in-band and out-of-band interference are considered by underlay and overlay/interweave sharing schemes respectively. A power allocation grouping scheme is proposed in [9] to decrease power control algorithm computational complexity while its throughput is close to optimal solution. Numerical methods to solve optimization problem fall into two categories, gradient-based and search.…”

Section: Introductionmentioning

confidence: 99%

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An iterative resource allocation algorithm for multi-user OFDM-CR system with low complexity

Falahati

Hosseini

2014

7'th International Symposium on Telecommunications (IST'2014)

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a low complexity resource allocation scheme is proposed for an underlay scheme over OFDM-based multi-user cognitive radio system. The resource allocation problem in an OFDM-based CR system includes subcarrier, power and bit allocation that is a combinational optimization problem. In the proposed scheme, subcarrier and power allocation is accomplished in two separate stages. The power allocation problem under the interference channel model is a constraint optimization problem. It is notable that one of problem complexity source is coupling between the power budget and interference temperature constraints sets. In this algorithm the power budget constraint is used to determine initial point within iterative algorithm. Additionally, a margin parameter that depends on similarity of the interference channel branches is introduced. The simulation results for two statistical models, namely Rayliegh and Nakagami, show that the proposed algorithm performance is close to an optimal solution with lower complexity.Keywords-cognitive radio system, power allocation algorithm, OFDM, dynamic spectrum management.

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Section: Introductionmentioning

confidence: 99%

“…This problem is a nonlinear constraint optimization problem that is discussed in [5][6][7][8][9]. In [5], the analytical method based on Lagrangian technique is used to solve this problem for a multiuser communication system.…”

Section: Introductionmentioning

confidence: 99%

An iterative resource allocation algorithm for multi-user OFDM-CR system with low complexity

Falahati

Hosseini

2014

7'th International Symposium on Telecommunications (IST'2014)

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“…RA problem in OFDM based CRNs has been widely studied under different settings in the open literature. A power allocation grouping scheme based on the interference channel gain, pulse shape and frequency distance is presented in [79] in order to improve capacity while the interference power for PUs stays at constant level. At the first stage, power is assigned to some groups based on the grouping scheme and at the second stage, the remaining power is allocated to others with water-filling algorithm.…”

Section: Introductionmentioning

confidence: 99%

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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“…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. Authors in [12], proposed a joint subcarrier and power allocation algorithm for multiuser orthogonal frequency division multiplexing (MU-OFDM) cognitive radio (CR) systems, where the peak power constraint is used to protect the primary user using a proposed lowcomplexity method to update the water level on the water filling algorithm.…”

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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Power allocation grouping scheme considering constraints in two separate stages for OFDM-based cognitive radio system

Cited by 6 publications

References 12 publications

An iterative resource allocation algorithm for multi-user OFDM-CR system with low complexity

An iterative resource allocation algorithm for multi-user OFDM-CR system with low complexity

Resource allocation strategies in cognitive radio D2D communication networks

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

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