Regenerative Strategy for Sum-rate Enhancement in Bi-directional Three-node Cooperation

In bi-directional three-node cooperation,one regenerative strategy with network coding and poweroptimization is proposed for system sum-rate under a total energy constraint.In this paper,the networkcoding and power optimization are applied to improve system sum-rate.But max-min optimization problemin power allocation is a NP-hard problem.In high Signal-to-Noise Ratio regime,this NP-hard problem istransformed into constrained polynomial optimization problem,which can be computed in polynomialtime.Although it is a suboptimal solution,numerical simulations show that this strategy enhances the sys-tem sum-rate up to 45% as compared to a traditional four-phase strategy,and up to 13% as compared tothe three-phase strategy without power optimization.

In bi-directional three-node cooperation, one regenerative strategy with network coding and power optimization is proposed for system sum-rate under a total energy constraint. In this paper, the network coding and power optimization are applied to improve system sum-rate. But max-rain optimization problem in power allocation is a NP-hard problem. In high Signal-to-Noise Ratio regime, this NP-hard problem is transformed into constrained polynomial optimization problem, which can be computed in polynomial time. Although it is a suboptimal solution, numerical simulations show that this strategy enhances the system sum-rate up to 45% as compared to a traditional four-phase strategy, and up to 13% as compared to the three-phase strategy without power optimization.