Outage Analysis and Optimization for Time Switching-based Two-Way Relaying with Energy Harvesting Relay Node

Abstract

Energy harvesting (EH) and network coding (NC) have emerged as two promising technologies for future wireless networks. In this paper, we combine them together in a single system and then present a time switching-based network coding relaying (TSNCR) protocol for the two-way relay system, where an energy constrained relay harvests energy from the transmitted radio frequency (RF) signals from two sources, and then helps the two-way relay information exchange between the two sources with the consumption of the harvested energy. To evaluate the system performance, we derive an explicit expression of the outage probability for the proposed TSNCR protocol. In order to explore the system performance limit, we formulate an optimization problem to minimize the system outage probability. Since the problem is non-convex and cannot be directly solved, we design a genetic algorithm (GA)-based optimization algorithm for it. Numerical results validate our theoretical analysis and show that in such an EH two-way relay system, if NC is applied, the system outage probability can be greatly decreased. Moreover, it is shown that the relay position greatly affects the system performance of TSNCR, where relatively worse outage performance is achieved when the relay is placed in the middle of the two sources. This is the first time to observe such a phenomena in EH two-way relay systems.

Simultaneous Wireless Information and Power Transfer in Two-hop OFDM Decode-and-Forward Relay Networks

“…In [18], outage probability was analyzed for two-hop one way AF relay-aided systems where both TS and PS reciever architectures were considered. The outage performances were respectively studied for two-way relay system with TS receiver architecture in [19,20] and for relay broadcast system with TS and PS receiver architectures in [21]. In [22], joint information and energy cooperation was studied for cognitive radio networks with PS and TS reciever architectures, where the cooperation between the primary and secondary systems was involved.…”

Successful transmission probability of cognitive device-to-device communications underlaying cellular networks in the presence of hardware impairments

“…The process is continued for a vast number of generations to find a best-fit (near-optimum) solution. Note that the performance of GAs is affected by primary parameters, including number of generations, population size, crossover rate, and mutation rate [34,35].…”