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dc.contributor.authorSidhom Farag, Michael George
dc.date.accessioned2017-03-17T15:05:16Z
dc.date.available2017-03-17T15:05:16Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/2144/20850
dc.description.abstractWireless communication systems are becoming essential to everyday life. Modern network deployments and protocols are struggling to keep up with these growing demands, due to interference between devices. The recent discovery of interference alignment has shown that, in principle, it may be possible to overcome this interference bottleneck in dense networks. However, most theoretical results are limited to very high signal-to-noise ratios (SNRs) and practical algorithms have only developed for interference alignment via multiple antennas. In this thesis, we develop new capacity bounds for the finite SNR regime by taking advantage of time-varying channel gains. We also explore practical algorithms for parallel single-antenna interference channels, which could arise due to orthogonal frequency-division multiplexing (OFDM). From the theoretical side, we study the phase-fading Gaussian interference channel. We approximate the capacity region in the very strong interference regime to within a constant gap. Our coding schemes combines ideas from ergodic and lattice interference alignment. On the practical side, we develop a matching algorithm for pairing together sub-channels for alignment. This algorithm relies on the concept of maximum weight matching from graph theory. Simulations demonstrate that this algorithm outperforms classical techniques when the network is interference limited.en_US
dc.language.isoen_USen_US
dc.subjectElectrical engineeringen_US
dc.titleInterference alignment: capacity bounds and practical algorithms for time-varying channelsen_US
dc.typeThesis/Dissertationen_US
dc.date.updated2017-03-10T05:06:50Z
etd.degree.nameDoctor of Philosophyen_US
etd.degree.leveldoctoralen_US
etd.degree.disciplineElectrical & Computer Engineeringen_US
etd.degree.grantorBoston Universityen_US


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