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In this short note we propose a new approach for the design and analysis of randomized gossip algorithms which can be used to solve the average consensus problem. We show how the Randomized Block Kaczmarz (RBK) method—a method for solving linear systems—works as gossip algorithm when applied to a special system encoding the underlying network. The famous pairwise gossip algorithm arises as a special case.

In this short note we propose a new approach for the design and analysis of randomized gossip algorithms which can be used to solve the average consensus problem. We show how the Randomized Block Kaczmarz (RBK) method—a method for solving linear systems—works as gossip algorithm when applied to a special system encoding the underlying network. The famous pairwise gossip algorithm arises as a special case.

We address the inter-cell interference coordination for the indoor multi-color visible light communication (VLC) network under lighting constraints. In the multi-color VLC system, soft frequency reuse-based interference coordination is adopted, which adjusts the AC powers of the cell-edge components and the cell-center components. To further improve the system throughput in the environment of dense LED deployment, we propose the dynamic scheduler for the inter-cell interference coordination.

This paper studies the achievable rate of a relay- assisted optical wireless communication channel, and presents a novel discrete signaling method by our proposed symbol-number filling algorithm. Unlike the radio frequency counterpart, the signaling is designed subject to nonnegative, peak and average power constraints, taking the input-dependent Gaussian shot noise into account. Decode and forward (DF) protocol is adopted by the relay, and is shown to outperform the direct transmission (DT) protocol.

We study the problem of energy efficiency maximization (EEmax) with joint beamforming and subarray selection, by taking into account the non-linear power amplifier efficiency in a multi-user multiple-input single-output system. The subarray selection problem is formulated using the concept of perspective formulation with additional penalty term in the objective function. To tackle the resulting challenging mixed-Boolean non-convex optimization problem, we rely on

A drawback of digital transmission of analog signals is the unavoidable quantization error which leads to a limited quality even for good channel conditions.

This saturation can be avoided by using analog transmission systems with discrete-time and quasi-continuous-amplitude encoding and decoding, e.g., Analog Modulo Block codes (AMB codes). The AMB code vectors are produced by multiplying a real-valued information vector with a real-valued generator matrix using a modulo arithmetic.

Since the global positioning system (GPS) is not applicable underwater, source localization using wireless sensor networks (WSNs) is gaining popularity in oceanographic applications. Unlike terrestrial WSNs (TWSNs) which use electromagnetic signaling, underwater WSNs (UWSNs) require underwater acoustic (UWA) signaling. Received signal strength (RSS)-based source localization is considered in this paper due to its practical simplicity and the constraint of low-cost sensor devices, but this area received little attention so far because of the complicated UWA transmission loss (TL) phenomena.

We consider stochastic motion planning in single-source single-destination robotic relay networks, under a cooperative beamforming framework. Assuming that the communication medium constitutes a spatiotemporal stochastic field, we propose a