Abstract

This paper investigates multicell multiuser downlink systems with simultaneous wireless information and power transfer. We study the energy efficient transmission design for maximizing the system energy efficiency of data transmission (bits/Joule delivered to the receivers) which is defined as the ratio of the weighted sum rate to the total power consumption. In particular, we focus on the energy efficient coordinated precoding for the downlink of multicell system using the power splitting technique where each receiver divides the received signal into two power streams for concurrent information decoding and energy harvesting. To solve the non-convex optimization problem under consideration, first, we transform the primal optimization problem in fractional form into a tractable parameterized subtractive form optimization problem. Then, the tractable problem is solved by applying the technique of the Lagrangian optimization technique and semidefinite relaxation. An efficient solution to the considered optimization problem is finally developed. Numerical results validate the effectiveness of the proposed algorithm and reveal that the proposed algorithm can achieve better energy efficiency performance than the traditional energy efficient transmission.

Highlights

  • With explosive growth of high-data-rate applications, rapidly increasing energy is consumed in wireless networks to guarantee quality of service

  • We focus on maximizing the system energy efficiency of data transmission, which is defined as the ratio of the weighted sum rate to the total power consumption, by splitting the received signal power into two parts for concurrent information decoding and energy harvesting (EH)

  • Compared to the energy efficiency performance achieved by the traditional energy efficient transmission [6,7,8], the proposed algorithm can achieve better energy efficiency performance

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Summary

Introduction

With explosive growth of high-data-rate applications, rapidly increasing energy is consumed in wireless networks to guarantee quality of service. A resource allocation scheme for maximizing the energy efficiency of data transmission was developed for single input single output (SISO) frequency division multiple access (OFDMA) system with simultaneous wireless information and power transfer [17]. Whereas, it was solved based on the assumption of high signal to interference ratio and ignoring the interuser interference. We assume that each user applies power splitting to coordinate the process of information decoding and energy harvesting from the receive signal [10,12]. This property will be exploited to design an effective energy efficient transmission method with taking energy harvesting into account

Energy-efficient optimization algorithm with energy harvesting
2: Let ρmid ρmin
Numerical results
Conclusions

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