Education

BA Hons. Mathematics

University of Cambridge (1995)

PhD Mathematics

University of Cambridge (2000)

Publications

Asymptotic Sum-Capacity of Random Gaussian Interference Networks Using Interference Alignment (2010)
Matthew Aldridge, Oliver Johnson, Robert Piechocki
Proceedings of the International Symposium on Information Theory 2010
Page numbers: 410 - 414
URL provided by the author

Monotonicity, thinning and discrete versions of the Entropy Power Inequality (2010)
Oliver Johnson and Yaming Yu
IEEE Transactions on Information Theory vol: 56 , Issue: 11 , Pages: 5387 - 5395
DOI: 10.1109/TIT.2010.2070570
URL provided by the author

Interference alignment-based sum capacity bounds for random dense Gaussian interference networks (2011)
Oliver Johnson, Matthew Aldridge, Robert Piechocki
IEEE Transactions on Information Theory vol: 57 , Issue: 1 , Pages: 282 - 290
DOI: 10.1109/TIT.2010.2090242
URL provided by the author

Full list of publications

Research Interests

My core research uses ideas from information theory to prove probabilistic limit theorems. For example, we can view the Central Limit Theorem as a maximum entropy result, as an analogue of the Second Law of Thermodynamics. I have also written papers concerning behaviour of the Poincare constant, match lengths, quantum data compression and the entropy power inequality.

Research Themes

• Applied Probability