Energy Efficient Cooperative Network Coding with Joint Relay Scheduling and Power Allocation
Nan Qi, Ming Xiao, Theodoros A. Tsiftsis, Mikael Skoglund, Phuong L., Cao, Lixin Li

TL;DR
This paper investigates energy-efficient multi-relay network coding by jointly optimizing relay scheduling and power allocation, demonstrating significant energy efficiency gains through a convex optimization approach under outage constraints.
Contribution
It introduces a novel joint relay scheduling and power allocation framework for energy-efficient network coding, with a convex approximation and iterative solution method for complex optimization.
Findings
MDNC achieves higher EE than NoNC with the same relays.
RS enhances EE gains significantly in MDNC.
Trade-offs between EE and outage probability are characterized.
Abstract
The energy efficiency (EE) of a multi-user multi-relay system with the maximum diversity network coding (MDNC) is studied. We explicitly find the connection among the outage probability, energy consumption and EE and formulate the maximizing EE problem under the outage probability constraints. Relay scheduling (RS) and power allocation (PA) are applied to schedule the relay states (transmitting, sleeping, \emph{etc}) and optimize the transmitting power under the practical channel and power consumption models. Since the optimization problem is NP-hard, to reduce computational complexity, the outage probability is first tightly approximated to a log-convex form. Further, the EE is converted into a subtractive form based on the fractional programming. Then a convex mixed-integer nonlinear problem (MINLP) is eventually obtained. With a generalized outer approximation (GOA) algorithm, RS and…
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced MIMO Systems Optimization · Full-Duplex Wireless Communications
