Performance analysis of smart grid dynamic HAN over Rician fading channel
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In smart grid (SG) communications, the home area network (HAN) plays a vital role in managing data transmission among communicating devices through a smart meter (SM). Rician fading distribution closely replicates an indoor communication channel in SG HAN system. Thus, channel link is modeled as a Rician fading channel in this paper and Multi‐user selection scheme is employed in SM. Further, a closed‐form expression for average bit error probability (ABEP) performance of indoor dynamic HANs with communicating devices using phase‐shift keying (PSK) modulation is derived and analyzed the effect of traffic intensity, the total number of devices and Rician factor for the considered system. The expression for average channel capacity (ACC) of the SG HAN system is also derived and analyzed by varying the parameters of interest.Keywords:
Rician fading
Channel state information
The fading number of a noncoherent two-user Rician fading channel is derived. The fading number is the second term in the high-SNR expansion of the sum-rate capacity of this multiple-access channel. It is shown that the fading number is identical to the fading number of the single-user Rician fading channel that is obtained when the user seeing the worse channel is switched off.
Rician fading
Fading distribution
Channel state information
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Communication over a discrete time-varying Rician fading channel is considered, where neither the transmitter nor the receiver has the knowledge of the channel state information (CSI) except the fading statistics. We provide closed form expressions to the mutual information under both average and peak input power constraint when its distribution is complex Gaussian. The results are compared with the existing capacity results showing the importance of the perfect CSI at the receiver at moderate and high signal to noise ratio (SNR). Furthermore, we show that the peak input power constraint gives better mutual information compared to the average power constraint input in Rician fading. Also, we show the information loss with a Gaussian distributed input compared to channel capacity is negligible at low SNR. Hence, there is no penalty for not knowing the channel perfectly at the receiver in the low SNR regime.
Rician fading
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Fading distribution
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Abstract Obtaining analytically closed-form expression for bit error rate (BER) of an optical wireless communication (OWC) system under weak atmospheric turbulence is extremely difficult and intractable. In this paper, a simple closed-form approximate expression for average BER of OWC system under weak turbulence condition is obtained using point estimate method. The proposed expression is used to compute the BER for on-off keying (OOK) and sub carrier intensity modulated (SIM) binary phase shift keying (BPSK) modulation schemes. Results obtained using proposed expression are compared with those obtained using Gauss-Hermite quadrature approximation and Monte-Carlo simulations.
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The effects of Rician fading on the capacity of multi-antenna systems designed to be optimal for Rayleigh fading are investigated under the assumption that channel state information (CSI) is available only at the receiver. Capacity bounds for the multi-antenna Rician fading channel are also derived and numerical results for some representative situations are provided.
Rician fading
Channel state information
Fading distribution
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Based on Rician/Lognormal fading channel, by bit error performance analysis for different modulation techniques, with consideration of the complex influence of multi path and shadowing effect in the channel, analytical mathematics expressions of bit error rate (BER) are given. The optimal modulation scheme is obtained through many computer simulations. This result is proved to be significant for the design of land satellite mobile communication system.
Rician fading
Log-normal distribution
Modulation (music)
Bit (key)
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In this paper we derive the optimal space-time power allocation scheme that minimizes the BER for MIMO fading channels when ideal channel state information (CSI) is available at the transmitter and receiver. We then show that this scheme achieves exponential diversity. Simulation results corroborating the theoretical analysis are then presented for MIMO Rician fading channels where we show that for two transmit and two receive antennas the presented scheme achieves more than 3 dB gain over best known Power Allocation Schemes.
Rician fading
Channel state information
Diversity gain
Fading distribution
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Rician fading
Channel state information
Non-line-of-sight propagation
Benchmark (surveying)
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In recent years, there have been significant breakthroughs in wireless communication systems design based on the multiple-input multiple-output (MIMO) concept. Exploiting the channel state information at the transmitter (CSIT) can improve the link performance. Thus, MIMO precoding has been an active research area for wireless communications. By specifying a precoding matrix with full CSIT, one can activate the strongest channel modes. In practice, important issues include how to obtain an accurate estimated CSI and use it. In this paper, we exploit estimated CSI for a correlated realistic Rician fading channel with estimated statistics. Then, a new precoder by providing the statistical mean of the channel matrix is presented. Numerical results show the performance degradation exists between the typical channel assumption, i.e., Rayleigh fading, and the realistic channel, i.e., correlated Rician fading. The new CSIT by sufficiently considering the channel statistics can reduce the error rate. The rank of the Rician fading channel matrix renders performance sensitive for the precoding performance.
Rician fading
Channel state information
Zero-forcing precoding
Spatial correlation
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This paper considers an intelligent reflecting surface (IRS) aided multiple-input single-output communication system, where statistical channel state information (CSI) is exploited for transmit beamforming and IRS beamforming. A tight upper bound is derived for the ergodic capacity of the system. Based on which, the joint optimization of transmit beam and IRS beam are studied. Depending on whether a line-of-sight path exists between the access point and user, two different cases, namely, Rician fading and Rayleigh fading, are separately treated. Specifically, for the Rician fading case, an iterative algorithm is proposed, which is guaranteed to converge. For the Rayleigh fading case, closed-form designs are obtained for the transmit beam and IRS beam. Simulation results show the proposed beamforming scheme achieves similar performance as the benchmark algorithm requiring instantaneous CSI.
Rician fading
Channel state information
Benchmark (surveying)
Non-line-of-sight propagation
Fading distribution
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The capacity of flat Rayleigh fading channels with full channel state information (CSI) at the transmitter and at the receiver at asymptotically low SNR has been recently shown to scale essentially as SNR log (1/SNR). In this paper, we investigate the Rician fading channel capacity with full CSI, and show that the capacity of this channel scales essentially as 1/1+K SNR log (1 /SNR), where K is the Rician factor. This characterization includes perfect CSI at both the transmitter and the receiver or noisy CSI at the transmitter and perfect CSI at the receiver. We also show that one-bit CSI at the transmitter is enough to achieve this asymptotic capacity using an On-Off power control scheme. Our framework may be seen as a generalization of previous works as it captures the Rayleigh fading channel as a special case by letting K goes to zero.
Rician fading
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Fading distribution
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