Joint Power Loading and Phase Shifting on Signal Constellation for Transmit Power Saving on OFDM/OFDMA Systems

Budi Prasetya, Adit Kurniawan, - Iskandar, Arfianto Fahmi


Power loading and phase shifting are generally applied separately to improve the performance of OFDM / OFDMA digital communication systems. In this paper, we propose a new method by combining the two to save transmit power. The channel information feedback used on prior power loading is just a channel gain, so in our method, channel state information at the transmitter (CSIT) feedback is a complex quantity. The magnitude of the channel is used to adjust the power allocation of each subcarrier, while the information on the channel phase is used to adjust the phase shifting. Our proposed method uses the principle of channel equalization but we apply in the transmitter. The first step in our research, we derive mathematical equations in the system model to obtain the ideal quality of communication. Next, to get curves that state the quality of the system, we do simulations with the help of computing software. From the simulation results, when the CSIT works perfectly, the resulting performance in terms of the probability of error is equal to the system passing through the AWGN channel, which means the maximum power savings. Although CSIT is not perfect but can still get power savings on the transmitter side. The more accurate CSIT, the greater the power saving is obtained. For low level modulation, 70% accuracy can get maximum pawer savings. The simulation results also show that the application of the propose method has a much better performance compared to the application of channel equalization on the receiver.


power loading; phase shifting; OFDM/OFDMA; CSIT; power saving.

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A. Lozano, A. M. Tulino, and S. Verdu, “Optimum Power Allocation for Parallel Gaussian Channels with Arbitrary Input Distributions,†IEEE Transactions on Information Theory, Vol. 52, No. 7, pp. 3033–3051, July 2006.

E. H. Choi, W. Choi, and J. G. Andrews, “Power Loading Using Order Mapping in OFDM Systems with Limited Feedback,†IEEE Signal Processing Letters, Vol. 15, pp. 545-548, 2008.

J. H. Lee, and W. Choi, “Multi-level Power Loading Using Limited Feedback,†IEEE Communications Letters, Vol. 16, No. 12, pp. 2024-2027, December 2012.

T. S. Rappaport, Wireless communications: Principle and Practice, 2nd edition, Prentice Hall Communications Engineering and Emerging Technologies Series, 2001.

B. Sklar, Digital Communications: Fundamentals & Applications, 2nd Edition, Prentice Hall, 2009.

B. Prasetya, A. Kurniawan, Iskandar, and A. Fahmi, “Use of Clustering Concept for Chunk Forming based on Constellation Signals on OFDMA Resource Allocation Systems,†Proc. of TSSA, 2015, pp. 1-6.

B. Prasetya, A. Kurniawan, Iskandar, and A. Fahmi, “K-Mean Clustering for Chunk Formation based on Channel Response on OFDMA Radio Resource Allocation Systems,†Advanced Science Letters, Vol. 22, pp. 3060–3064, Oct. 2016.

S. P. Herath, N. H. Tran, and T. Le-Ngoc, “Rotated Multi-D Constellations in Rayleigh Fading: Mutual Information Improvement and Pragmatic Approach for Near-Capacity Performance in High-Rate Regions,†IEEE Transactions on Communications, Vol. 60, No. 12, pp. 3694-3704, Dec. 2012.

K.A. Suharja, R. P. Astuti, L. Meylani, and A. Fahmi, “Enhancement of MC-CDMA Performance System using Rotated Modulation,†Proc. of COMNETSAT, 2016, pp. 14-17.

C. Han and T. Hashimoto, “Coded Constellation Rotated Vector OFDM with Almost Linear Interleaver,†Proc. of WCNC, 2016, pp. 1-6.

G. Xu, W. Mat, and Y. Ren, Energy-Efficient Resource Allocation for Downlink MIMO-OFDMA Systems with Proportional Rates Constraints,†Proc. of 10th International Conference on Communications and Networking in China, 2015, pp. 37-41.

Z. Wang, and L. Vandendorpe, “Subcarrier Allocation and Precoder Design for Energy Efficient MIMO-OFDMA Downlink Systems,†IEEE Transactions on Communications, Vol. 65, No. 1, pp. 136-146, January 2017



Published by INSIGHT - Indonesian Society for Knowledge and Human Development