Cross Layer Resource Allocation in H-CRAN with Spectrum and Energy Cooperation

Nazanin Moosavi, Mahnaz Sinaie, Paeiz Azmi, Pin Hsun Lin, Edward Jorswieck

Research output: Contribution to journalArticleScientificpeer-review

Abstract

5G and beyond wireless networks are the upcoming evolution for the current cellular networks to provide the essential requirement of future demands such as high data rate, low energy consumption, and low latency to provide seamless communication for the emerging applications. Heterogeneous cloud radio access network (H-CRAN) is envisioned as a new trend of 5G that uses the advantages of heterogeneous and cloud radio access networks to enhance both the spectral and energy efficiency. In this paper, building on the notion of effective capacity (EC), we propose a framework in orthogonal frequency division multiple access (OFDMA) non-orthogonal multiple access (NOMA) based H-CRAN to meet these demands simultaneously. Our proposed approach is to maximize the effective energy efficiency {EEE) while considering spectrum and power cooperation between macro base station (MBS) and radio remote heads (RRHs). We propose an efficient resource allocation scheme to maximize energy efficiency while maintaining the delay quality of service {QoS) requirements for the all users. The simulation results show that the proposed algorithm can provide a non-trivial trade-off between delay and energy efficiency in OFDMA-NOMA based H-CRAN systems in terms of EC and EEE and the spectrum and power cooperation improves EEE of the proposed network.

Original languageEnglish
Pages (from-to)1-1
JournalIEEE Transactions on Mobile Computing
DOIs
Publication statusE-pub ahead of print - 27 Apr 2021
MoE publication typeA1 Journal article-refereed

Keywords

  • Mobile computing

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