Power allocation, bit loading and sub-carrier bandwidth sizing for OFDM-based cognitive radio

Thumar, Vinay; Nadkar, Taskeen; Gopavajhula, Tej; Desai, U.B.; Merchant, S. N.

doi:10.1186/1687-1499-2011-87

Cited by 10 publications

(4 citation statements)

References 37 publications

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“…The technique has used standard decode and forward relay mechanism in order to enhance the capacity of the transmission. Exactly similar direction of the work was also adopted in the study of Thumar et al [29] where an iterative algorithm for power allocation as well as controlling of channel capacity has been presented. The authors have raised the problem of non-linearity in the optimization approach.…”

Section: Related Workmentioning

confidence: 83%

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Reddy¹,

Padmaja²

2017

IJET

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Abstract-The existing telecommunication standard hypothetically cater up the user's demands at the cost of short delay, power drainage, not so standard throughput. We reviewed the existing literatures of bit loading and power allocation to find more inclination towards 3G and 4G-based enabling technologies (OFDM-Orthogonal Frequency Division Multiplexing) and less towards 5G-based enabling technologies (e.g. FBMC-Filter Bank Multiple Carrier) almost no work is done towards 5G network. Hence, we present a framework of bit loading and power allocation that uses FBMC, incorporates a new encoding, and introduced a novel modulation technique over a stream of signal to find it more optimally supporting the demands of 5G networks. The study outcome was found to possess lower error rate, higher data delivery performance, lower power usage, and faster processing time in comparison to existing legacy standards.

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Section: Related Workmentioning

confidence: 83%

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Reddy¹,

Padmaja²

2017

IJET

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“…In all papers, authors introduced an algorithm to allot maximum bits to symbol based on allocated power with considering all constraints in Equation ( 12) and Equation (7). In [14], [20] and [21] authors introduced three algorithms for allocating discrete bits to each subcarrier. Now, a novel suboptimal bit loading algorithm is introduced in this section.…”

Section: Bit Loading Algorithmmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Razmi¹,

Parhizgar²

2019

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A novel method to improve the performance of the frequency band is cognitive radio that was introduced in 1999. Due to a lot of advantages of the OFDM, adaptive OFDM method, this technique is used in cognitive radio (CR) systems, widely. In adaptive OFDM, transmission rate and power of subcarriers are allocated based on the channel variations to improve the system performance. This paper investigates adaptive resource allocation in the CR systems that are used OFDM technique to transmit data. The aim of this paper is to maximize the achievable transmission rate for the CR system by considering the interference constraint. Although secondary users can be aware form channel information between each other, but in some wireless standards, it is impossible for secondary user to be aware from channel information between itself and a primary user. Therefore, due to practical limitation, statistical interference channel is considered in this paper. This paper introduces a novel suboptimal power allocation algorithm. Also, this paper introduces a novel bit loading algorithm. In the numerical results sections, the performance of our algorithm is compared by optimal and conventional algorithms. Numerical results indicate our algorithm has better performance than conventional algorithms while its complexity is less than optimal algorithm.

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“…Due to the burden of computation for optimal solution including eigenvalues calculation and sort algorithm [14], a low complexity suboptimal algorithm by tracking the interference and parabola power allocation is proposed in the next part to cope with this problem.…”

Section: Transmission Capacity Of Ofdm-based Cr Systemmentioning

confidence: 99%

Second Order Suboptimal Power Allocation for MIMO-OFDM Based Cognitive Radio Systems

Nguyen¹,

Nguyen²,

Nguyen³

et al. 2014

KSII TIIS

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This paper proposes an efficient and low complexity power-loading algorithm for MIMO-OFDM downlink based cognitive radio system that maximizes the sum rate of single secondary user (SU) under constraints on the tolerable interference thresholds between secondary user and primary user's frequency bands and the total transmission power. Our suboptimal algorithm is based on the 2 nd order interference tracking and nulling mechanism to allocate transmission power of the subcarriers among SU's scheme. The performance of our proposed suboptimal scheme is compared with the performance of the classical power loading algorithms, e.g., water filling, 1 st order interference tracking, nulling, and other suboptimal schemes. Numerical results show that our algorithm has low complexity but obtains a higher channel capacity than that of some previous suboptimal algorithms in some scenarios. We dedicate also that for a given interference threshold, the 2 nd order interference tracking mechanism has dynamic number of nulling position instead fixed number of nulling position.

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Power allocation, bit loading and sub-carrier bandwidth sizing for OFDM-based cognitive radio

Cited by 10 publications

References 37 publications

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

International Journal of Electronics and Telecommunications

Second Order Suboptimal Power Allocation for MIMO-OFDM Based Cognitive Radio Systems

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