Power Allocation for OFDM Over Multi-scale Multi-lag Channels

Underwater acoustic (UWA) signal is wideband in nature and suffers doubly selective fading in time and frequency. In the presence of relative motion, a typical UWA channel can be described by a multiscale multilag (MSML) model. To compensate the scaling effect of UWA channels, many UWA communication systems employ a signal-resampling operation by a single scale at the front end of the receiver. For orthogonal frequency division multiplexing systems, since the path scales are different from each other, the resampling can alleviate but not clean out the intercarrier interference (ICI) resulting from the MSML channel. In this paper, we first describe the resampled signal by an equivalent MSML model with residual time scales, which are much smaller than that of the original MSML channel. With the given statistical parameters of the equivalent MSML channel, the closed-form expressions of the average subchannel gains and ICI coefficients are derived. Based on the ICI coefficients, we derive the analytical expression of a lower bound on the average achievable rate of the system as a function of the power allocation. We then investigate the power allocation to improve the lower bound on the achievable rate. Our key idea is that, on subcarriers whose ICIs dominate the additive noise, nothing is transmitted to avoid low energy efficiency. After proving that the ICI coefficient increases monotonically as the subcarrier frequency rises, we propose an ON–OFF uniform power allocation method, in which subcarriers with odd indices keep inactive starting from a certain index to avoid ICI. The performance of the proposed power allocation is evaluated via numerical simulations, whose results show that the proposed method outperforms the existing methods when the residual time scales cannot be neglected.

[1]  K Tu,et al.  Peer-reviewed Technical Communication Mitigation of Intercarrier Interference for Ofdm over Time-varying Underwater Acoustic Channels , 2022 .

[2]  Urbashi Mitra,et al.  Optimal Bayesian Resampling for OFDM Signaling Over Multi-scale Multi-lag Channels , 2012, IEEE Signal Processing Letters.

[3]  U Mitra,et al.  Optimal Resampling of OFDM Signals for Multiscale–Multilag Underwater Acoustic Channels , 2011, IEEE Journal of Oceanic Engineering.

[4]  Georgios B. Giannakis,et al.  Rate-maximizing power allocation in OFDM based on partial channel knowledge , 2005, IEEE Trans. Wirel. Commun..

[5]  Urbashi Mitra,et al.  Multi-Rate Block Transmission Over Wideband Multi-Scale Multi-Lag Channels , 2013, IEEE Transactions on Signal Processing.

[6]  Milica Stojanovic,et al.  Underwater acoustic communication channels: Propagation models and statistical characterization , 2009, IEEE Communications Magazine.

[7]  Christoph Günther,et al.  Comment on "Estimate of channel capacity in Rayleigh fading environment , 1996 .

[8]  Milica Stojanovic,et al.  Adaptive OFDM Modulation for Underwater Acoustic Communications: Design Considerations and Experimental Results , 2014, IEEE Journal of Oceanic Engineering.

[9]  Ronald A. Iltis,et al.  Iterative Carrier Frequency Offset and Channel Estimation for Underwater Acoustic OFDM Systems , 2008, IEEE Journal on Selected Areas in Communications.

[10]  Urbashi Mitra,et al.  Multi-Scale Multi-Lag Channel Estimation Using Low Rank Approximation for OFDM , 2015, IEEE Transactions on Signal Processing.

[11]  Antonia Papandreou-Suppappola,et al.  Discrete time-scale characterization of wideband time-varying systems , 2006, IEEE Transactions on Signal Processing.

[12]  Xiang Cheng,et al.  On the Achievable Rate of OFDM With Index Modulation , 2016, IEEE Transactions on Signal Processing.

[13]  Xiang Cheng,et al.  Index modulated OFDM for underwater acoustic communications , 2016, IEEE Communications Magazine.

[14]  Hua Yu,et al.  Parameter Estimation of Wideband Underwater Acoustic Multipath Channels based on Fractional Fourier Transform , 2016, IEEE Transactions on Signal Processing.

[15]  M. Stojanovic,et al.  Statistical Characterization and Computationally Efficient Modeling of a Class of Underwater Acoustic Communication Channels , 2013, IEEE Journal of Oceanic Engineering.

[16]  B.S. Sharif,et al.  A computationally efficient Doppler compensation system for underwater acoustic communications , 2000, IEEE Journal of Oceanic Engineering.

[17]  Milica Stojanovic,et al.  On the Achievable Rate of a Class of Acoustic Channels and Practical Power Allocation Strategies for OFDM Systems , 2015, IEEE Journal of Oceanic Engineering.

[18]  Krishna R. Pattipati,et al.  Clustered Adaptation for Estimation of Time-Varying Underwater Acoustic Channels , 2012, IEEE Transactions on Signal Processing.

[19]  M. Stojanovic,et al.  Low Complexity OFDM Detector for Underwater Acoustic Channels , 2006, OCEANS 2006.

[20]  A. Robert Calderbank,et al.  Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths , 1999, IEEE Trans. Commun..

[21]  M. Stojanovic,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE JOURNAL OF OCEANIC ENGINEERING 1 Multiple-Resampling Receiver Design for OFDM Over Doppler-Distorted Unde , 2011 .

[22]  Shengli Zhou,et al.  Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing , 2009, OCEANS 2009-EUROPE.

[23]  C. Gervaise,et al.  On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition , 2009, OCEANS 2009.

[24]  Marc Moeneclaey,et al.  BER sensitivity of OFDM systems to carrier frequency offset and Wiener phase noise , 1995, IEEE Trans. Commun..

[25]  Paul A. van Walree,et al.  Ultrawideband Underwater Acoustic Communication Channels , 2013, IEEE Journal of Oceanic Engineering.

[26]  H. Vincent Poor,et al.  Orthogonal Frequency Division Multiplexing With Index Modulation , 2012, IEEE Transactions on Signal Processing.

[27]  Luxi Yang,et al.  Parameter Estimation for Multi-Scale Multi-Lag Underwater Acoustic Channels Based on Modified Particle Swarm Optimization Algorithm , 2017, IEEE Access.

[28]  L. Freitag,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE JOURNAL OF OCEANIC ENGINEERING 1 Peer-Reviewed Technical Communication Multicarrier Communication Over Un , 2022 .

[29]  Georgios B. Giannakis,et al.  Blind carrier frequency offset estimation in SISO, MIMO, and multiuser OFDM systems , 2005, IEEE Transactions on Communications.

[30]  Naofal Al-Dhahir,et al.  Coherent and Differential ICI Cancellation for Mobile OFDM with Application to DVB-H , 2008, IEEE Transactions on Wireless Communications.

[31]  Milica Stojanovic,et al.  On the relationship between capacity and distance in an underwater acoustic communication channel , 2007, MOCO.