6 accepted papers
JPEG2000 (j2k) is a highly popular format for image and video compression. It plays a major role in the rapidly growing applications of cloud based image classification. Considering limited network bandwidth, we propose an end-to-end deep learning framework to achieve faster and more accurate classi…
Internet-of-Things (IoT) networks are envisioned to typically include a massive number of devices with sporadic and low-latency uplink service needs. This paper presents a blind demixing approach to support the data recovery of multiple simultaneous and unscheduled device transmissions without a pri…
Wireless distributed computing presents new opportunities to execute intelligent tasks on mobile devices for low-latency applications, by wirelessly aggregating the computation and storage resources among mobile devices. However, for low-latency applications, the key bottleneck lies in the exchange…
In distributed inference, cooperation among networked agents can be exploited to enhance the performance of each individual agent. In this paper, we consider signal classification over a network of agents, where each agent observes a certain signal under a particular signal-to-noise ratio (SNR). Eac…
This work investigates robust receiver design against pilot-contaminated channel estimation in large multi-antenna systems. Given bounded channel estimate errors, we tackle the multi-user detection problem by presenting a novel idea of exploiting the forward error correction (FEC) code diversity. Un…
We develop a novel diversity combiner for joint reception in wireless relay networks with unknown relay-to-destination channel. The partially available channel information poses an obstacle for utilization of the relay diversity. We tackle this problem by formulating a unified second-order cone prog…