Publications de Ayan Sengupta | EPFL Graph Search

Physical Layer Cooperation : Theory and Practice

Information theory has long pointed to the promise of physical layer cooperation in boosting the spectral efficiency of wireless networks. Yet, the optimum relaying strategy to achieve the network capacity has till date remained elusive. Recently however, ...

EPFL2015

Cooperative Relaying at Finite SNR-Role of Quantize-Map-and-Forward

Christina Fragouli, Ayan Sengupta, I-Hsiang Wang

This paper contributes to the design and analysis of Quantize-Map-and-Forward (QMF) relaying by optimizing its performance for small relay networks. QMF was proved to achieve the capacity of arbitrary networks within a bounded gap, as well as the optimal d ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Efficient Subnetwork Selection in Relay Networks

Christina Fragouli, Siddhartha Brahma, Ayan Sengupta

We consider a source that would like to communicate with a destination over a layered Gaussian relay network. We present a computationally efficient method that enables to select a near-optimal (in terms of throughput) subnetwork of a given size connecting ...

Ieee2014

Optimizing Quantize-Map-and-Forward in Slow Fading Relay Networks

Christina Fragouli, Ayan Sengupta, I-Hsiang Wang

Quantize-Map-and-Forward (QMF) relaying has been shown to achieve the optimal diversity-multiplexing trade-off (DMT) for the slow fading single-antenna relay channel, regardless of whether the relay is full-duplex or half-duplex. A key reason for the DMT o ...

Ieee2013

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Christina Fragouli, Ayan Sengupta, I-Hsiang Wang

We evaluate the information-theoretic achievable rates of Quantize-Map-and-Forward (QMF) relaying schemes over Gaussian N-relay diamond networks. Focusing on vector Gaussian quantization at the relays, our goal is to understand how close to the cutset uppe ...

Ieee2012