Abstract

This paper considers ergodic capacity of energy harvesting (EH) based cellular networks. Such a network employs non-orthogonal multiple access (NOMA) together with relaying scheme to serve two far users. In this system model, relay is facilitated power splitting (PS) protocol to implement energy harvesting (EH). To examine capacity, expressions of signal to noise ratio (SNR) need be computed to achieve capacity. Power allocation factors are different for two users in such system and hence performance gap happens to distinguish requirements for separated users. It can be confirmed that the proposed paradigm exhibits maximal achievable capacity in some scenarios of setting parameters. To confirm exactness of the analytical expressions and show advantages of the proposed EH-NOMA, simulation results are performed in terms of ergodic capacity.

Highlights

  • Considering as the potentials to implement infrastructure in the fifth generation (5G) cellular system, higher spectral efficiency benefits from the non-orthogonal multiple access (NOMA) technique to serve massive connections [1], [2]

  • To confirm exactness of the analytical expressions and show advantages of the proposed energy harvesting (EH)-NOMA, simulation results are performed in terms of ergodic capacity

  • This paper considers ergodic capacity of wireless powered network

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Summary

INTRODUCTION

Considering as the potentials to implement infrastructure in the fifth generation (5G) cellular system, higher spectral efficiency benefits from the non-orthogonal multiple access (NOMA) technique to serve massive connections [1], [2]. The authors in [24]examined performance of a hybrid NOMA-based wireless system In this system, to transmit on the uplink, users harvest wireless power from the received downlink signals. Motivated by recent works [16], [17], [18], this paper considers a new the fixed power allocation scheme and relay harvests power and acts as relay with respect to implement cooperative EH-NOMA protocol. Such relay is designed to introduce performance gaps to representative how well the weak user and strong user operate in various scenarios. The ergodic capacity at U2 it can be illustrated ergodic capacity for U2 as CUA2F

SIMULATION RESULT
CONCLUSION
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