Harnessing Bursty Interference in Multicarrier Systems With Output Feedback. Mishra, S., Wang, I., & Diggavi, S. N. IEEE Transactions on Information Theory, 63(7):4430-4452, July, 2017. doi abstract bibtex We study parallel two-user interference channels when the interference is bursty and feedback is available from the respective receivers. Presence of interference in each subcarrier is modeled as a memoryless Bernoulli random state. The states across subcarriers are drawn from an arbitrary joint distribution with the same marginal probability for each subcarrier and instantiated independent and identically distributed (i.i.d.) over time. For the linear deterministic setup with symmetric interference in each subcarrier, we give a complete characterization of the capacity region. For the analogous setup with Gaussian noise, we give outer bounds and a tight generalized degrees of freedom characterization. We propose a novel helping mechanism, which enables subcarriers in very strong interference regime to help in recovering interfered signals for subcarriers in strong and weak interference regimes. Depending on the interference and burstiness regime, the inner bounds either employ the proposed helping mechanism to code across subcarriers or treat the subcarriers separately. The outer bounds demonstrate a connection to a subset entropy inequality by Madiman and Tetali.
@article{7911284,
abstract = {We study parallel two-user interference channels when the interference is bursty and feedback is available from the respective receivers. Presence of interference in each subcarrier is modeled as a memoryless Bernoulli random state. The states across subcarriers are drawn from an arbitrary joint distribution with the same marginal probability for each subcarrier and instantiated independent and identically distributed (i.i.d.) over time. For the linear deterministic setup with symmetric interference in each subcarrier, we give a complete characterization of the capacity region. For the analogous setup with Gaussian noise, we give outer bounds and a tight generalized degrees of freedom characterization. We propose a novel helping mechanism, which enables subcarriers in very strong interference regime to help in recovering interfered signals for subcarriers in strong and weak interference regimes. Depending on the interference and burstiness regime, the inner bounds either employ the proposed helping mechanism to code across subcarriers or treat the subcarriers separately. The outer bounds demonstrate a connection to a subset entropy inequality by Madiman and Tetali.},
author = {S. {Mishra} and I. {Wang} and S. N. {Diggavi}},
doi = {10.1109/TIT.2017.2697866},
issn = {1557-9654},
journal = {IEEE Transactions on Information Theory},
keywords = {Gaussian noise;probability;radio networks;radiofrequency interference;harnessing bursty interference;multicarrier systems;output feedback;interference channels;respective receivers;memoryless Bernoulli random state;arbitrary joint distribution;probability;symmetric interference;capacity region;Gaussian noise;subset entropy inequality;wireless networks;Receivers;Interference channels;Output feedback;Encoding;Channel models;Niobium;Interference channel;bursty interference;feedback;multicarrier systems},
month = {July},
number = {7},
pages = {4430-4452},
tags = {journal,IT,ANIT,WNIF},
title = {Harnessing Bursty Interference in Multicarrier Systems With Output Feedback},
type = {2},
volume = {63},
year = {2017}
}
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