Virtual Full Duplex Wireless Broadcasting via Compressed Sensing
Lei Zhang, Dongning Guo

TL;DR
This paper introduces a compressed sensing-based method for full-duplex wireless broadcasting that allows nodes to simultaneously transmit and receive messages efficiently, overcoming half-duplex constraints and outperforming traditional protocols.
Contribution
It presents a novel compressed sensing framework for wireless broadcasting, including an iterative belief propagation decoding algorithm and a half-duplex compliant code design.
Findings
Achieves several times the rate of slotted ALOHA and CSMA.
Effectively decodes superimposed messages using compressed sensing.
Addresses half-duplex constraints at the fundamental level.
Abstract
A novel solution is proposed to undertake a frequent task in wireless networks, which is to let all nodes broadcast information to and receive information from their respective one-hop neighboring nodes. The contribution is two-fold. First, as each neighbor selects one message-bearing codeword from its unique codebook for transmission, it is shown that decoding their messages based on a superposition of those codewords through the multiaccess channel is fundamentally a problem of compressed sensing. In the case where each message consists of a small number of bits, an iterative algorithm based on belief propagation is developed for efficient decoding. Second, to satisfy the half-duplex constraint, each codeword consists of randomly distributed on-slots and off-slots. A node transmits during its on-slots, and listens to its neighbors only through its own off-slots. Over one frame…
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Taxonomy
TopicsSparse and Compressive Sensing Techniques · Indoor and Outdoor Localization Technologies · Wireless Networks and Protocols
