Adaptive Subcarrier and Bit Allocation for Downlink OFDMA System with Proportional Fairness

Lande, Sudhir B.; Helonde, J. B.; Pande, Rajesh; Pathak, Sunil

doi:10.5121/ijwmn.2011.3510

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Apart from this, the outcome of the proposed system was also assessed with respect to existing techniques. For this purpose, we consider the work carried out for bit loading and power allocation by Kuo et al [31], Song et al [32], Lande et al [33], and Caus et al [34] for multicarrier CDMA, OFDM, OFDMA, and FBMC. The comparative analysis was considered for throughput, transmit power consumption, and processing time.…”

Section: Results Analysismentioning

confidence: 99%

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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: Results Analysismentioning

confidence: 99%

“…Fig.8 shows the evidence that OFDM has quite higher peak of transmit power consumption. The next technique in the comparative analysis is work carried out by Lande et al [33] by using OFDMA. The author have presented a constrained optimization problem and presented their solution using centralized algorithm.…”

Section: Results Analysismentioning

confidence: 99%