Throughput maximization under rate requirements for the OFDMA downlink channel with limited feedback
EURASIP Journal on Wireless Communications and Networking - Multicarrier Systems
IEEE Transactions on Communications
Peak power reduction of OFDM signals with sign adjustment
IEEE Transactions on Communications
Delay-limited transmission in OFDM systems: performance bounds and impact of system parameters
IEEE Transactions on Wireless Communications
Reed-Solomon and simplex codes for peak-to-average power ratio reduction in OFDM
IEEE Transactions on Information Theory
Non-equidistant sampling for bounded bandlimited signals
Signal Processing
Successive PAR reduction in (MIMO) OFDM
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Novel low-complexity SLM schemes for PAPR reduction in OFDM systems
IEEE Transactions on Signal Processing
Asymptotic performance analysis and successive selected mapping for PAR reduction in OFDM
IEEE Transactions on Signal Processing
Average power reduction for MSM optical signals via sparsity and uncertainty principle
IEEE Transactions on Communications
No-go theorem for linear systems on bounded bandlimited signals
IEEE Transactions on Signal Processing
Hi-index | 35.75 |
The paper addresses the problem of estimating the peak value of bandlimited signals from their samples with and without oversampling. This problem has significant relevance to orthogonal frequency-division multiplexing (OFDM) signal processing and system design. In particular, an upper bound on the peak value is established given the peak value of the samples and the oversampling rate. Moreover, it is shown that the bounds are sharp for all practical rates by constructing bandlimited signals taking on this bound. The proof also provides a local characterization of bandlimited signals in the neighborhood of an extremum. A different analysis examines the effect of small errors in the samples. It is shown that oversampling can provide robust recovery in the sense that small errors in the samples lead to small errors in the reconstructed signal. Again, an upper bound is derived relating the peak error in the samples and the peak error in the signals. Furthermore, both problems are shown to be coupled and put in a unifying context. The bounds are compared and applied to problems concerning OFDM.