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We present a distributed (non-Bayesian) learning algorithm for the problem of parameter estimation with Gaussian noise. The algorithm is expressed as explicit updates on the parameters of the Gaussian beliefs (i.e. means and precision). We show a convergence rate of O(1/k) with the constant term depending on the number of agents and the topology of the network. Moreover, we show almost sure convergence...
The challenges with full-duplex (FD) transceiver implementation and transmission in small area radio communication systems are considered. The main challenge in the FD transceiver design is the self-interference (SI). Analog and digital SI cancellation is used for SI mitigation. Analog SI isolation is performed at radio frequency (RF) by utilizing an antenna design based on the characteristic modes...
The paper studies distributed Dictionary Learning (DL) problems where the learning task is distributed over a multi-agent network with time-varying (nonsymmetric) connectivity. This formulation is relevant, for instance, in Big Data scenarios where massive amounts of data are collected/stored in different spatial locations and it is unfeasible to aggregate and/or process all data in a fusion center,...
Decentralized coded caching is studied for a content server with N files, each of size F bits, serving K active users, each equipped with a cache of distinct capacity. It is assumed that the users' caches are filled in advance during the off-peak traffic period without the knowledge of the number of active users, their identities, or the particular demands. User demands are revealed during the peak...
Experiments by Ratnam et al.[1] demonstrate the benefit of drift eye movements for the discrimination of a diffraction-limited tumbling E sized near the sampling limit of the cone photoreceptor array. Subjects perform better at discriminating the orientation of the E when its projection moves on the retina with the same motion statistics as drift eye movements, but not necessarily correlated to the...
In this paper, we describe an advanced real-time cancellation architecture for efficient digital-domain suppression of self-interference in inband full-duplex devices. The digital canceller takes into account the nonlinear distortion produced by the transmitter power amplifier, and is thereby a robust solution for low-cost implementations. The developed real-time digital canceller implementation is...
Driven by rapid growth in wireless demand, spectrum sharing has recently been the focus of extensive research. A common concern is how to address coexistence-related interference, especially when the involved systems operate under different protocols. In this paper, we outline a framework for exploiting full-duplex (FD) capabilities to support coexistence in a heterogeneous spectrum sharing environment...
Full-duplex wireless is an exciting emerging wireless communication paradigm that also poses tremendous challenges at virtually every layer: from the antenna interface and integrated circuits (ICs) and systems to the network layer. This paper covers recent advances at Columbia University across all these dimensions. Several potential full-duplex system architectures that are appropriate for different...
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