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A Survey on Network Codes for Distributed Storage
TLDR
An overview of the research results on network coding techniques is provided, establishing that maintenance bandwidth can be reduced by orders of magnitude compared to standard erasure codes.
Feedback Capacity of the Gaussian Interference Channel to Within 2 Bits
TLDR
The result makes use of a linear deterministic model to provide insights into the Gaussian channel and establishes the exact feedback capacity region of this general class of deterministic ICs.
Downlink Interference Alignment
TLDR
It is shown that in the two-isolated cell layout, the proposed IA technique provides four-fold gain in throughput performance over a standard multi-user MIMO technique, and it is shown through simulations that the technique provides respectable gain under a more realistic scenario.
Resource Allocation for Multicast Services in Multicarrier Wireless Communications
TLDR
This work considers a multicast resource allocation problem for the downlink in OFDM-based wireless cellular network systems and proposes an optimal subcarrier/bit allocation method requiring full search of possible candidates to reduce the complexity.
Exact-Repair MDS Code Construction Using Interference Alignment
TLDR
This paper describes (n, k, d) Exact-Repair MDS codes, which allow for any failed node to be repaired exactly with access to d survivor nodes, where k ≤ d ≤ n-1.
Asymptotic Interference Alignment for Optimal Repair of MDS Codes in Distributed Storage
TLDR
This paper addresses exact repair MDS codes, which allow for any single failed node to be repaired exactly with access to any arbitrary set of <i>d</i> survivor nodes, and characterize the capacity of a class of multisource nonmulticast networks.
Downlink Interference Alignment
TLDR
This work develops an interference alignment (IA) technique for a downlink cellular system that can be implemented with minimal changes to an existing cellular system where the feedback mechanism (within a cell) is already being considered for supporting multi-user MIMO.
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
TLDR
The results improve upon the state of the arts recently established under the model and they first settle the orderwise optimal results for the binary edge weight case, and HSCLR achieves the information-theoretic limits for a special yet practically relevant model, thereby showing no computational barrier for the case.
High-dimensional coded matrix multiplication
TLDR
This work studies coded computation involving large matrix multiplication where both matrices are large, and proposes a new coded computation scheme, which is called product-coded matrix multiplication, which reveals interesting insights into which schemes perform best in which regimes.
Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons
TLDR
This paper describes the minimax limits on identifiability of top-$K$ ranked items, in the presence of random and non-adaptive sampling, and proposes a nearly linear-time ranking scheme, called Spectral MLE, that allows perfect top-K$ item identification under minimal sample complexity.
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