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@article{faucris.203772662,
author = {Wicke, Wayan and Zlatanov, Nikola and Jamali Kooshkghazi, Vahid and Schober, Robert},
faupublication = {yes},
journal = {IEEE Transactions on Wireless Communications},
pages = {967--981},
peerreviewed = {Yes},
title = {{Buffer}-aided relaying with discrete transmission rates for the two-hop half-duplex relay network},
volume = {16},
year = {2017}
}
@inproceedings{faucris.203772907,
author = {Wicke, Wayan and Zlatanov, Nikola and Jamali Kooshkghazi, Vahid and Schober, Robert},
booktitle = {Proc. CWIT},
faupublication = {yes},
pages = {186--189},
peerreviewed = {unknown},
title = {{Buffer}-aided relaying with discrete transmission rates.},
year = {2015}
}
@article{faucris.109582264,
abstract = {In this paper, we investigate the capacity of the Gaussian two-hop full-duplex (FD) relay channel with residual self-interference. This channel is comprised of a source, an FD relay, and a destination, where a direct source-destination link does not exist and the FD relay is impaired by residual self-interference. We adopt the worst case linear self-interference model with respect to the channel capacity, and model the residual self-interference as a Gaussian random variable whose variance depends on the amplitude of the transmit symbol of the relay. For this channel, we derive the capacity and propose an explicit capacity-achieving coding scheme. Thereby, we show that the optimal input distribution at the source is Gaussian and its variance depends on the amplitude of the transmit symbol of the relay. On the other hand, the optimal input distribution at the relay is discrete or Gaussian, where the latter case occurs only when the relay-destination link is the bottleneck link. The derived capacity converges to the capacity of the two-hop ideal FD relay channel without self-interference and to the capacity of the two-hop half-duplex (HD) relay channel in the limiting cases when the residual self-interference is zero and infinite, respectively. Our numerical results show that significant performance gains are achieved with the proposed capacity-achieving coding scheme compared with the achievable rates of conventional HD relaying and/or conventional FD relaying.},
author = {Zlatanov, Nikola and Sippel, Erik and Jamali Kooshkghazi, Vahid and Schober, Robert},
doi = {10.1109/TCOMM.2017.2653112},
faupublication = {yes},
journal = {IEEE Transactions on Communications},
peerreviewed = {Yes},
title = {{Capacity} of the {Gaussian} {Two}-{Hop} {Full}-{Duplex} {Relay} {Channel} {With} {Residual} {Self}-{Interference}},
year = {2017}
}
@article{faucris.225743827,
abstract = {For a general energy harvesting (EH) communication network, i.e., a network where the nodes generate their transmit power through EH, we derive the asymptotically optimal online power allocation solution that optimizes a general utility function when the number of transmit time slots, N, and the battery capacities of the EH nodes, B
_{max}
, satisfy N → ∞ and B
_{max}
→ ∞. The considered family of utility functions is general enough to include the most important performance measures in communication theory, such as the average data rate, outage probability, average bit-error probability, and average signal-to-noise ratio. The proposed power allocation solution is very simple. Namely, the asymptotically optimal power allocation for the EH network is identical to the optimal power allocation for an equivalent nonEH network whose nodes have infinite energy available but their average transmit power is constrained to be equal to the average harvested power and/or the maximum average transmit power of the corresponding nodes in the EH network. Moreover, the maximum average performance of a general EH network converges to the maximum average performance of the corresponding equivalent non-EH network, when N → ∞ and B
_{max}
→ ∞. Although the proposed solution is asymptotic in nature, it is applicable to EH systems transmitting in a large but finite number of time slots and having a battery capacity much larger than the average harvested power and/or the maximuma average transmit power._{}^{}