There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

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Table Of Integrals Series And Products

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The Theory of Industrial Organization

Probability and Measure

"Written by the pioneers of the concept, this is the first complete guide to the physical and engineering principles of Massive MIMO. Assuming only a basic background in communications and statisti ...

Fundamentals of Massive MIMO

This paper investigates multiuser detection for an uplink asynchronous machine-to-machine system with massive number of machine type communication devices (MTCDs). The goal is to detect the device activity, time delay, channel gain and transmission data for a grant-free three-phase access scheme where each MTCD first transmits its pilot sequence, then remains silent for a period of time, and finally transmits the data. By exploiting the sparsity of transmitted signals, a compressive sensing and successive interference cancellation based algorithm is proposed to solve the joint activity, delay and channel detection problem. With the estimated results, two linear receivers for data detection are provided. Simulation results verify the superiority of the proposed algorithm.

Compressive sensing based multiuser detection for asynchronous machine-to-machine systems

In this paper, the outage probability performance of the parallel relay-assisted FSO communication system is analyzed. Firstly, a new aggregated channel fading model is established, which includes atmospheric attenuation, M-distributed atmospheric turbulence and nonzero boresight pointing error. After that, the statistical characteristics of the aggregated channel are analyzed. Under the aggregated channel model, a closed-form expression of the outage probability is derived. Finally, numerical results show that the derived theoretical expression of the outage probability is quite accurate and can provide sufficient precision for evaluating the outage performance.

Outage probability analysis for parallel relay-assisted free-space optical communications over a novel aggregated channel

Understanding the interplay between ionic migration and defect trapping in photovoltaic perovskites is critical to develop targeted passivation techniques for performance enhancement. In this study, systematic poling experiments on Cs0.05(FA0.85MA0.15)0.95Pb(I0.85Br0.15)3 perovskite solar cells (PSCs) were conducted to resolve the principal effects of bias dependent pretreatment effects due to dynamic ionic migration. We find that under negative polarizations, iodine ion accumulation at perovskite/electron transport layer (ETL) interfaces causes enhanced global non-radiative recombination in PSCs and significant open-circuit voltage (Voc) losses. On the other hand, dramatic short-circuit current (Jsc) reduction occurs in positively polarized devices, which is ascribed to ineffective charge collection due to modified band-bending towards both charge transport materials. Spatiotemporally scanning probe microscopy on the surface of polarized perovskites provides an in situ estimation of iodine diffusion mobility and visualization of reorganizations under an external bias. Moreover, our findings suggest that the precondition effect of PSCs under operation due to defect ions is recoverable, therefore achieving a respectable lifetime of PSCs for commercialization is promising.

Ionic migration induced loss analysis of perovskite solar cells: a poling study.

This paper considers the problem of transmission scheduling of delay-sensitive data over a point-to-point correlated Rayleigh fading channel with channel estimation errors. According to the imperfect channel state information (CSI) and the buffer state, the transmit power and the modulation and coding scheme are determined to jointly maximize the energy efficiency, and minimize transmission delay and overflow probability. To account of the effects of the channel estimation errors, the CSI imperfection is modeled as uncertain sets using the ellipsoidal approximation. Then, the joint optimization problem is formulated using the weighted sum method. Using the idea of online learning, two algorithms are proposed to schedule the delay-sensitive data for the situations with and without the uncertainty bound of channel estimation, respectively. Numerical results indicate that the proposed online learning-based scheduling algorithms can tackle the imperfect CSI issue and improve the system performance in terms of the energy efficiency, transmission delay, and overflow probability. Moreover, the convergence times are very short, which highlights the feasibility of the proposed online learning-based scheduling for practical systems.

Online Learning Based Transmission Scheduling for Delay-Sensitive Data Over a Fading Channel With Imperfect Channel State Information

Orthogonal frequency division multiplexing (OFDM) is the projected modulation of choice for fourth-generation broadband multimedia wireless systems. However, for mobile applications, channel variations during one OFDM symbol introduce intercarrier interference (ICI), which degrades the performance. This gets more severe as mobile speed, carrier frequency or OFDM symbol duration increases. We analyze ICI for mobile OFDM systems in terms of the complex weighting coefficients, which give the contribution of each transmitter subcarrier to each demodulated subcarrier. Then, we propose a new cancellation method to reduce the effects of Doppler frequency shift. The results show that by using the proposed cancellation scheme, the ICI can be reduced significantly.

Ming Chen

Papers

Compressive sensing based multiuser detection for asynchronous machine-to-machine systems

Outage probability analysis for parallel relay-assisted free-space optical communications over a novel aggregated channel

Ionic migration induced loss analysis of perovskite solar cells: a poling study.

Online Learning Based Transmission Scheduling for Delay-Sensitive Data Over a Fading Channel With Imperfect Channel State Information

Intercarrier interference cancellation in OFDM mobile systems