Multicarrier modulation with low PAR: applications to DSL and wireless
Multicarrier modulation with low PAR: applications to DSL and wireless
Principles of mobile communication (2nd ed.)
Principles of mobile communication (2nd ed.)
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Fundamentals of wireless communication
Fundamentals of wireless communication
Recovering clipped OFDM symbols with Bayesian inference
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01
Amplitude clipping and iterative reconstruction of MIMO-OFDM signals with optimum equalization
IEEE Transactions on Wireless Communications
Lattice-reduction aided equalization for OFDM systems
IEEE Transactions on Wireless Communications
An overview of peak-to-average power ratio reduction techniques for multicarrier transmission
IEEE Wireless Communications
Performance analysis of peak power and band-limited OFDM system with linear scaling
IEEE Transactions on Wireless Communications
MLSD Bounds and Receiver Designs for Clipped OFDM Channels
IEEE Transactions on Wireless Communications
Fundamental Limits of Linear Equalizers: Diversity, Capacity, and Complexity
IEEE Transactions on Information Theory
Technical solutions for the 3G long-term evolution
IEEE Communications Magazine
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Orthogonal frequency division multiplexing (OFDM) has been widely adopted for high data rate wireless transmissions. By deploying multiple receiving antennas, single-input multiple-output- (SIMO-) OFDM can further enhance the performance with spatial diversity. However, due to the large dynamic range of OFDM signals and the nonlinear nature of analog components, it is pragmatic to model the transmitter with a peak-power constraint. A natural question to ask is whether SIMO-OFDM transmissions can still enjoy the antenna diversity in this case. In this paper, the effect of the peak-power limit on the error performance of uncoded SIMO-OFDM systems is studied. In the case that the receiver has no information about the transmitter nonlinearity, we show that full antenna diversity can still be collected by carefully designing the transmitters, while the receiver performs a maximum ratio combining (MRC) method which is implemented the same as that in the average power constrained case. On the other hand, when the receiver has perfect knowledge of the peak-power-limited transmitter nonlinearity, zero-forcing (ZF) equalizer is able to collect full antenna diversity. In addition, an iterative method on joint MRC and clipping mitigation is proposed to achieve high performance with low complexity.