Coherent Communications in Self-Organizing Networks with Distributed Beamforming

TL;DR

This paper introduces a distributed optimization approach for coherent multi-stream communications in self-organizing networks, significantly enhancing range, power efficiency, and throughput over traditional methods.

Contribution

It develops a novel joint network formation and beamforming protocol for multi-stream coherent communications in decentralized wireless networks.

Findings

Improved power gain for single data streams.

Enhanced signal-to-interference ratio for multiple streams.

Outperforms benchmark protocols in network simulations.

Abstract

Coherent communications aim to support higher data rates and extended connectivity at lower power consumption compared with traditional point-to-point transmissions. The typical setting of coherent communication schemes is based on a single data stream with multiple transmitters and a single receiver. This paper studies the case of multiple concurrent data streams, each with multiple transmitters and multiple receivers, in self-organizing wireless networks. A distributed optimization solution based on joint network formation and beamforming is developed for coherent group communications in a network of nodes that need to communicate over long distances. This solution significantly improves the power gain for a single data stream and the signal-to-interference-ratio for multiple data streams compared to point-to-point communications. These gains are in turn translated to improvements in communication range, power efficiency, reliability, and throughput. In this multi-layer network optimization solution, nodes coordinate with each other in a distributed manner to form transmitter and receiver groups, and communicate with each other coherently over long distances. The coherent beamforming protocol is optimized for given transmitter and receiver groups, whereas the network formation protocol is optimized to determine these groups. By using single-antenna communication nodes, the proposed optimization solution provides a major gain in network communications and outperforms other benchmark combinations of beamforming and network formation protocols.