Nonlinear interference suppressor for varying-envelope local interference in multimode transceivers

In multimode transceivers, a local transmitter may induce a large interference in a local receiver, often several orders of magnitude stronger than the desired received signal. To suppress this interference by linear filtering, the receiver would need a very large dynamic range, resulting in excessive power consumption. A potentially much more power-efficient approach uses an adaptive memoryless nonlinearity that can strongly suppress the interference when adapted proportional to the envelope of the received interference. This approach has so far been limited to constant-envelope interferences owing to the difficulty of extracting accurate interference envelope information from the received signal. In this paper, we observe that in multimode transceivers the locally available baseband interference enables accurate adaptation for varying-envelope interferences. We identify and analyze nonlinear distortion products which are negligible for constant-envelope interferences. We show that adequate interference suppression can be achieved along with a negligible distortion to the desired signal

Adaptive nonlinear interference suppressor for cognitive radio applications

To utilize the radio frequency spectrum efficiently a Cognitive Radio (CR) can operate as a secondary user in a frequency band which is licensed to a primary user. To this end, the CR must sense the spectrum continuously to find empty frequency channels for its transmission. The transmitted signal by the local transmitter of the CR, however, induces a strong local interference in the local receiver of the CR. Hence a half-duplex transceiver is used where the transmit and sense operations are done in separate time slots. The time-slotted operation though, reduces the throughput of the CR. This paper proposes application of an adaptive Nonlinear Interference Suppressor (NIS) to suppress this strong local interference to enable simultaneous transmit and sense. We present experimental results of a transceiver testbed that uses an implementation of the NIS, fabricated in 140 nm CMOS technology. These experiments show that the NIS can substantially suppress the local interference with low complexity and power consumption

Advanced DSP Techniques for High-Capacity and Energy-Efficient Optical Fiber Communications

The rapid proliferation of the Internet has been driving communication networks closer and closer to their limits, while available bandwidth is disappearing due to an ever-increasing network load. Over the past decade, optical fiber communication technology has increased per fiber data rate from 10 Tb/s to exceeding 10 Pb/s. The major explosion came after the maturity of coherent detection and advanced digital signal processing (DSP). DSP has played a critical role in accommodating channel impairments mitigation, enabling advanced modulation formats for spectral efficiency transmission and realizing flexible bandwidth. This book aims to explore novel, advanced DSP techniques to enable multi-Tb/s/channel optical transmission to address pressing bandwidth and power-efficiency demands. It provides state-of-the-art advances and future perspectives of DSP as well

Integrated photonics for millimetre wave transmitters and receivers

This PhD thesis entitled “Integrated photonics for millimetre wave transmitters and receivers” aimed at investigating the possibility of employing the uni-traveling carrier photodiode (UTC-PD) in millimetre wave (MMW) wireless receivers and, eventually, demonstrating a photonic integrated transceiver, by exploiting the concept of optically-pumped mixing (OPM). Previously, the UTC-PD has been successfully demonstrated as an OPM, by mixing an optically-generated local oscillator (LO) with a high frequency RF signal to generate a replica of the RF signal at a low intermediate frequency (IF), defined by the difference between the LO and the RF signal. This concept forms the foundation of this PhD thesis. The principal idea is to deploy the UTC-PD mixer in MMW wireless receivers to down-convert the high frequency data signal into a low frequency IF, where it can be easily processed and recovered. The main challenge to this approach is the low conversion efficiency of the UTC-PD mixer. For example, a conversion loss of 32 dB has been reported at 100 GHz. Also, the detection bandwidth in previous demonstrations was very narrow (around 100 Hz), which is too narrow to be useful in high-speed data communications. Consequently, a significant effort was made, in this thesis, to improve these parameters before the implementation in wireless receivers. The characterization and optimization works done in this thesis on the input parameters to the UTC-PD mixer have advanced the state of the art significantly. For example, conversion losses as low as 22 dB have been reported here. Also, the detection bandwidth has been increased to up to 10 GHz, allowing for multi-Gbps communication links. Based on these promising results, proof of concept wireless data transmission experiments were successfully conducted at different carrier frequencies (33 GHz, 35 GHz, and 60 GHz) using separate non-integrated UTC-PDs at the receiver with speeds of up to 5 Gbps. To the best of the author’s knowledge, this is the first demonstration of the UTC-PD at the receiver. Upon these successful demonstrations, further research was done on a photonic integrated circuit, which comprises UTC-PDs, lasers, optical amplifiers and modulators. The outcome of this research was the first demonstration of a photonic integrated transceiver. This transceiver is suitable for short distance communications and could find interesting applications in 5G and future networks, including: high definition (HD) video streaming, file transfer, and wireless backhaul

Developing coherent optical wavelength conversion systems for reconfigurable photonic networks

In future optical networks that employ wavelength division multiplexing (WDM), the use of optical switching technologies on a burst or packet level, combined with advanced modulation formats would achieve greater spectral efficiency and utilize the existing bandwidth more efficiently. All-optical wavelength converters are expected to be one of the key components in these broadband networks. They can be used at the network nodes to avoid contention and to dynamically allocate wavelengths to ensure optimum use of fiber bandwidth. In this work, a reconfigurable wavelength converter comprising of a Semiconductor Optical Amplifier (SOA) as the nonlinear element and a fast-switching sampled grating distributed Bragg reflector (SG-DBR) tunable laser as one of the pumps is developed. The wavelength conversion of 12.5-Gbaud quadrature phase shift keying (QPSK) and Pol-Mul QPSK signals with switching time of tens of nanoseconds is experimentally achieved. Although the tunable DBR lasers can achieve ns tuning time, they present relatively large phase noise. The phase noise transfer from the pump to the converted signal can have a deleterious effect on signal quality and cause a performance penalty with phase modulated signals. To overcome the phase noise transfer issue, a wavelength converter using tunable dual-correlated pumps provided by the combination of a single-section quantum dash passively mode-locked laser (QD-PMLL) and a programmable tunable optical filter is designed and the wavelength conversion of QPSK and 16-quadrature amplitude modulation (16-QAM) signals at 12.5 GBaud is experimentally investigated. Nonlinear distortion of the wavelength converted signal caused by gain saturation effects in the SOA can significantly degrade the signal quality and cause difficulties for the practical wavelength conversion of sig nal data with advanced modulation formats. In this work, the machine learning clustering based nonlinearity compensation method is proposed to improve the tolerance to nonlinear distortion in an SOA based wavelength conversion system with 16 QAM and 64 QAM signals