1,529 research outputs found
Soft-decision Viterbi decoding with diversity combining
Diversity combining methods for convolutional coded and soft-decision Viterbi decoded channels in mobile satellite communications systems are evaluated and it is clarified that the pre-Viterbi-decoding maximal ratio combining shows better performance than other methods in Rician fading channels by computer simulation. A novel practical technique for maximal ratio combining is proposed, in which the coefficients for weighting are derived from soft-decision demodulated signals only. The proposed diversity combining method with soft-decision Viterbi decoding requires simple hardware and shows satisfactory performance with slight degradation of 0.3 dB in Rician fading channels compared with an ideal weighting scheme. Furthermore, this diversity method is applied to trellis coded modulation and significant Pe performance improvement is achieved
Display probability of symbol errors for MQAM on Rician fading channel based on MGF method
We present a new method for calculating the probability of error per symbol (Symbol Error Probability, SEP) of M-ary Quadrature Amplitude Modulation (MQAM) over a slow, flat, identically independently distributed Rician fading channels. Since fading is one of the major constraints in wireless communications, the diversity modulation technique is used for the efficient transfer of message signals. Exact analysis of error probability per symbol for MQAM, transmitted over Rician fading channels, is performed by N branches of diversity reception using maximum ratio of signal-to-noise power (maximal-ratio-combining, MRC), where the information in the channel on the receiver side is known. We also analyzed the performances of MQAM over Rician fading channels are here also analyzed. Approximate formula is used to represent SEP for MQAM transmitted over Gaussian channels. Boundary condition for the approximation is M≥4 and 0≤SNR≤30 dB
Display probability of symbol errors for MQAM on Rician fading channel based on MGF method
We present a new method for calculating the probability of error per symbol (Symbol Error Probability, SEP) of M-ary Quadrature Amplitude Modulation (MQAM) over a slow, flat, identically independently distributed Rician fading channels. Since fading is one of the major constraints in wireless communications, the diversity modulation technique is used for the efficient transfer of message signals. Exact analysis of error probability per symbol for MQAM, transmitted over Rician fading channels, is performed by N branches of diversity reception using maximum ratio of signal-to-noise power (maximal-ratio-combining, MRC), where the information in the channel on the receiver side is known. We also analyzed the performances of MQAM over Rician fading channels are here also analyzed. Approximate formula is used to represent SEP for MQAM transmitted over Gaussian channels. Boundary condition for the approximation is M≥4 and 0≤SNR≤30 dB
Achievable Rate of Rician Large-Scale MIMO Channels with Transceiver Hardware Impairments
Transceiver hardware impairments (e.g., phase noise,
in-phase/quadrature-phase (I/Q) imbalance, amplifier non-linearities, and
quantization errors) have obvious degradation effects on the performance of
wireless communications. While prior works have improved our knowledge on the
influence of hardware impairments of single-user multiple-input multiple-output
(MIMO) systems over Rayleigh fading channels, an analysis encompassing the
Rician fading channel is not yet available. In this paper, we pursue a detailed
analysis of regular and large-scale (LS) MIMO systems over Rician fading
channels by deriving new, closed-form expressions for the achievable rate to
provide several important insights for practical system design. More
specifically, for regular MIMO systems with hardware impairments, there is
always a finite achievable rate ceiling, which is irrespective of the transmit
power and fading conditions. For LS-MIMO systems, it is interesting to find
that the achievable rate loss depends on the Rician -factor, which reveals
that the favorable propagation in LS-MIMO systems can remove the influence of
hardware impairments. However, we show that the non-ideal LS-MIMO system can
still achieve high spectral efficiency due to its huge degrees of freedom.Comment: 7 pages, 1 table, 3 figures, accepted to appear in IEEE Transactions
on Vehicular Technolog
Optimized Training Design for Wireless Energy Transfer
Radio-frequency (RF) enabled wireless energy transfer (WET), as a promising
solution to provide cost-effective and reliable power supplies for
energy-constrained wireless networks, has drawn growing interests recently. To
overcome the significant propagation loss over distance, employing
multi-antennas at the energy transmitter (ET) to more efficiently direct
wireless energy to desired energy receivers (ERs), termed \emph{energy
beamforming}, is an essential technique for enabling WET. However, the
achievable gain of energy beamforming crucially depends on the available
channel state information (CSI) at the ET, which needs to be acquired
practically. In this paper, we study the design of an efficient channel
acquisition method for a point-to-point multiple-input multiple-output (MIMO)
WET system by exploiting the channel reciprocity, i.e., the ET estimates the
CSI via dedicated reverse-link training from the ER. Considering the limited
energy availability at the ER, the training strategy should be carefully
designed so that the channel can be estimated with sufficient accuracy, and yet
without consuming excessive energy at the ER. To this end, we propose to
maximize the \emph{net} harvested energy at the ER, which is the average
harvested energy offset by that used for channel training. An optimization
problem is formulated for the training design over MIMO Rician fading channels,
including the subset of ER antennas to be trained, as well as the training time
and power allocated. Closed-form solutions are obtained for some special
scenarios, based on which useful insights are drawn on when training should be
employed to improve the net transferred energy in MIMO WET systems.Comment: 30 pages, 9 figures, to appear in IEEE Trans. on Communication
Performance Analysis for Multichannel Reception of OOFSK Signaling
In this paper, the error performance of on-off frequency shift keying (OOFSK)
modulation over fading channels is analyzed when the receiver is equipped with
multiple antennas. The analysis is conducted in two cases: the coherent
scenario where the fading is perfectly known at the receiver, and the
noncoherent scenario where neither the receiver nor the transmitter knows the
fading coefficients. For both cases, the maximum a posteriori probability (MAP)
detection rule is derived and analytical probability of error expressions are
obtained. The effect of fading correlation among the receiver antennas is also
studied. Simulation results indicate that for sufficiently low duty cycle
values, lower probability of error values with respect to FSK signaling are
achieved. Equivalently, when compared to FSK modulation, OOFSK with low duty
cycle requires less energy to achieve the same probability of error, which
renders this modulation a more energy efficient transmission technique.Comment: Proc. of the 2007 IEEE Wireless Communications and Networking
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