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In this paper, we propose a distributed scheduling scheme for internet-of-things (IoT) wireless devices. The scheduling determination that maximizes overall sum rate of the network is formulated as an optimization problem, which is very challenging because there exists no centralized coordinator in the typical IoT network. To resolve this, we introduce the-state-of-the-art message-passing framework...
We develop distributed algorithms for efficient spectrum access strategies in cognitive radio relay networks. In our setup, primary users permit secondary users access to the resource (spectrum) as long as they consent to aiding the primary users as relays in addition to transmitting their own data. Given a pool of primary and secondary users, we desire to optimize overall network utility by determining...
This paper studies dirty-paper coding in a Gaussian broadcast channel with two receivers. It finds that an approximate version of dirty-paper coding using low-density lattices can be implemented with a complexity that is polynomial-time on average in the block length. The main difference between this paper and prior work is that a non-binary LDPC-based lattice codebook is used for each user, and one...
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