Centralized and Distributed Optimum Power Control and Beam-forming in Network Flooding

Abstract:
We consider a device-to-device wireless multi-hop communication scenario with resource-constrained devices that require energy-efficient connectivity. Based on the recently proposed Glossy network flooding protocol, we develop both centralized and distributed beam-forming and power control algorithms, and analyze their performance. The proposed schemes are compared in terms of their energy efficiency to the standard Glossy. Numerical simulations demonstrate that a centralized power control scheme can achieve several-fold improvements in energy efficiency over Glossy across a wide spectrum of network configurations at comparable packet reception rates. We also show how power control and beam-forming can be applied in a distributed manner and demonstrate achievable gains compared to standard Glossy. The results indicate that adaptive power control and distributed beam-forming strategies improve energy efficiency, which is one important performance indicator in 5G Internet-of-Things applications.