Adaptive power loading based on unequal-ber strategy for OFDM systems

Liu, Kaiming; Tang, Bihua; Liu, Yuanan

doi:10.1109/lcomm.2009.082158

Cited by 21 publications

(35 citation statements)

References 5 publications

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“…For convenience, presented numerical results are displayed in the original scales. E-BER, Liu [3] U-BER, Liu [3] Mahmood [4] Proposed, no power constraint dB, one finds that both the average throughput and transmit power increase as the SNR increases, whereas for an average SNR ≥ 24 dB, the transmit power saturates while the throughput continues to increase. This observation can be explained as follows.…”

Section: A Simulation Setupmentioning

confidence: 99%

“…Each subcarrier i transmits b i bits using power P i , i = 1, ..., N . Following the common practice in the literature, a delay-and error-free feedback channel is assumed to exist between the transmitter and receiver for reporting the channel state information [3]- [5].…”

Section: A Optimization Problem Formulationmentioning

confidence: 99%

“…Fig. 2 compares the objective function achieved with the proposed algorithm and the exhaustive search that finds the discretized global optimal allocation for the problem in (3). Results are presented for P th = 5 µW and N = 4, 8 6, and 8; a small number of subcarriers is chosen, such that the exhaustive search is feasible.…”

Section: A Simulation Setupmentioning

confidence: 99%

“…In the latter case, the average throughput and transmit power, obtained by averaging (11) and (12), respectively, over the total number of channel realizations through Monte Carlo simulations, show an excellent match to their counterparts in (15) and (16), respectively. Further, for an average SNR ≤ 243 The average SNR is calculated by averaging the instantaneous SNR values per subcarrier over the total number of subcarriers and the total number of channel realizations, respectively.…”

mentioning

confidence: 99%

“…Average transmit power as a function of average throughput for the proposed algorithm and the algorithms in[3] and[4].…”

mentioning

confidence: 99%

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Joint Optimization of Bit and Power Loading for Multicarrier Systems

Bedeer

Dobre

Ahmed

et al. 2013

IEEE Wireless Commun. Lett.

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Abstract-In this letter, a novel low complexity bit and power loading algorithm is formulated for multicarrier communication systems. The proposed algorithm jointly maximizes the throughput and minimizes the transmit power through a weighting coefficient α, while meeting constraints on the target bit error rate (BER) per subcarrier and on the total transmit power. The optimization problem is solved by the Lagrangian multiplier method if the initial α causes the transmit power not to violate the power constraint; otherwise, a bisection search is used to find the appropriate α. Closed-form expressions are derived for the close-to-optimal bit and power allocations per subcarrier, average throughput, and average transmit power. Simulation results illustrate the performance of the proposed algorithm and demonstrate its superiority with respect to existing allocation algorithms. Furthermore, the results show that the performance of the proposed algorithm approaches that of the exhaustive search for the discrete optimal allocations.

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Section: A Simulation Setupmentioning

confidence: 99%

Section: A Optimization Problem Formulationmentioning

confidence: 99%

Section: A Simulation Setupmentioning

confidence: 99%

mentioning

confidence: 99%

“…Average transmit power as a function of average throughput for the proposed algorithm and the algorithms in[3] and[4].…”

mentioning

confidence: 99%

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Joint Optimization of Bit and Power Loading for Multicarrier Systems

Bedeer

Dobre

Ahmed

et al. 2013

IEEE Wireless Commun. Lett.

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Energy-minimizing bit allocation for powerline OFDM with multiple delay constraints

Jiravanstit

Santipach

2020

Physical Communication

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We propose a bit-allocation scheme for powerline orthogonal frequency-division multiplexing (OFDM) that minimizes total transmit energy subject to total-bit and delay constraints. Multiple delay requirements stem from different sets of data that a transmitter must time-multiplex and transmit to a receiver. The proposed bit allocation takes into account the channel power-to-noise density ratio of subchannels as well as statistic of narrowband interference and impulsive noise that is pervasive in powerline communication (PLC) channels. The proposed scheme is optimal with 1 or 2 sets of data, and is suboptimal with more than 2 sets of data. However, numerical examples show that the proposed scheme performs close to the optimum. Also, it is less computationally complex than the optimal scheme especially when minimizing total energy over large number of data sets. We also compare the proposed scheme with some existing schemes and find that our scheme requires less total transmit energy when the number of delay constraints is large.

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Research on A Fruit Fly Optimization Algorithm for OFDM Modulation System

Liu

Bai

2019

2019 Chinese Automation Congress (CAC)

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Adaptive power loading based on unequal-ber strategy for OFDM systems

Cited by 21 publications

References 5 publications

Joint Optimization of Bit and Power Loading for Multicarrier Systems

Joint Optimization of Bit and Power Loading for Multicarrier Systems

Energy-minimizing bit allocation for powerline OFDM with multiple delay constraints

Research on A Fruit Fly Optimization Algorithm for OFDM Modulation System

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