In this work we explore some of the potential fiber-optic data transmission applications of the nonlinear Fourier transform (NFT), a signal analysis technique introduced by mathematicians and physicists in the 1970s. Just as the usual Fourier transform converts linear convolution to multiplication, the NFT transforms the action of the ideal (noiseless, lossless) nonlinear Schrödinger equation (and other integrable evolution equations) to the action of a multiplicative filter in the nonlinear

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... quency domain. One potential application is a nonlinear analogue of linear frequency-division multiplexing that, unlike many other fiber-optic transmission strategies, deals with both dispersion and nonlinearity unconditionally, without the need for dispersion or nonlinearity compensation methods. (Joint work with Mansoor I. Yousefi and Siddarth Hari.) Biography Frank R. Kschischang is the Distinguished Professor of Digital Communication in the Department of Electrical and Computer Engineering at the University of Toronto, where he has been a faculty member since 1991. He received the B.A.Sc. degree (with honors) from the University of British Columbia, Vancouver, BC, Canada, in 1985 and the M.A.Sc. and Ph.D. degrees from The 5th generation (5G) wireless communication network is expected to support up to 1000x more connections per cell with reduced latency below 1 ms. Maintaining uplink synchronization for each individual device as conventional 4G does, known as the Timing Advance adjustment, will lead to significant signaling overhead, especially for small traffic scenarios, like IoT services, "always-on-line" TCP connections, etc. This paper shows that the Timing Advance is not necessary if we introduce FBMC waveform in combination with suitable multiple access schemes. The resulting system is highly robust against timing misalignment while attaining high spectral efficiency. Machine-type communications is seen as one of the main drivers of 5G. In this paper we compare one-stage and two-stage radio access protocol options tailored for sporadic transmissions of small data packets in uplink with respect to throughput and delay requirements. An important aspect is robust and resource efficient preamble design to minimize missed detection and false alarm probabilities of service requests. Also the tradeoff between performance and necessary amount of downlink feedback bits is taken into account in our analysis. The final evaluation is done with computer simulation of a multi-cell system. In this paper we follow-up on recent massive MTC concepts combining advanced MAC protocols with Compressed Sensing (CS) based multiuser detection. Specifically, we introduce a concept for sparse joint activity, channel and data detection in the context of the Coded ALOHA (FDMA) protocol. In addition, we will improve on the performance of such Coded ALOHA protocols in terms of the resource efficiency. We will mathematically analyze the system accordingly and provide expressions for the capture probabilities of the underlying sparse multiuser detector. Finally, we will provide 'structured' CS algorithms for the joint estimation scheme and evaluate its performance.