Abstract
The recent aggrandizement of radio frequency (RF) signals in wireless power transmission combined with energy harvesting methods have led to the replacement of traditional battery-powered wireless networks since the blooming RF technology provides energy renewal of wireless devices with the quality of service (QoS). In addition, it does not require any unnecessary alterations on the transmission hardware side. A hybridized global optimization technique uniting Global best and Local best (GL) based particle swarm optimization (PSO) and ant colony optimization (ACO) is proposed in this paper to optimally allocate resources in wireless powered communication networks (WPCN) through coordinated operation of communication groups, in which the wireless energy transfer and information sharing take place concomitantly by the aid of a cooperative relay positioned in between the communicating groups. The designed algorithm assists in minimizing power consumption and maximizes the weighted sum rate at the end-user side. Thus the principal target of the system is coordinated optimization of energy beamforming along with time and energy allocation to reduce the total energy consumed combined with assured information rates of the communication groups. Numerical outputs are presented to manifest the proposed system's performance to verify the analytical results via simulations.
Highlights
1 Introduction A while back, batteries were used to power up the traditional wireless communication systems, which had a limited lifespan resulting in a reduced lifetime of a wireless communication system
The outputs are compared with three benchmark systems from the literature
It can be noticed that RBOT beats ORBT and RBRT, and RBRT brings about the least weighted sum rate (WSR) among all the systems. These results indicate that in the proposed wireless powered communication networks (WPCN) system, the assignment of time has a greater impact on the system performance than the beamforming at node S1
Summary
A while back, batteries were used to power up the traditional wireless communication systems, which had a limited lifespan resulting in a reduced lifetime of a wireless communication system. Many pieces of research have been conducted in the past [1,2,3,4] to investigate this issue and offer a solution to either improve/save energy or replace the battery to enhance the energy consumption in wireless communication. They were ineffective due to high costs and inconvenience. Even though WPCN has improved device lifespan with high throughput and low operating cost, it has a few challenges such as complexity, low power transfer efficiency for long-distance. The integration of RF-based energy harvesting schemes with wireless technology has been blooming in the recent past [6,7,8]
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