Z
Zheng Yang
Researcher at Southwest Jiaotong University
Publications - 20
Citations - 3404
Zheng Yang is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Computer science & Noma. The author has an hindex of 11, co-authored 13 publications receiving 2746 citations. Previous affiliations of Zheng Yang include Fujian Normal University.
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Journal ArticleDOI
On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users
TL;DR: In this letter, the performance of non-orthogonal multiple access (NOMA) is investigated in a cellular downlink scenario with randomly deployed users and developed analytical results show that NOMA can achieve superior performance in terms of ergodic sum rates; however, the outage performance of N OMA depends critically on the choices of the users' targeted data rates and allocated power.
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A General Power Allocation Scheme to Guarantee Quality of Service in Downlink and Uplink NOMA Systems
TL;DR: A novel dynamic power allocation scheme is proposed to downlink and uplink non-orthogonal multiple access (NOMA) scenarios with two users for more flexibly meeting various quality of service requirements.
Journal ArticleDOI
On the Performance of Non-orthogonal Multiple Access Systems With Partial Channel Information
TL;DR: The results demonstrate that NOMA can achieve superior performance compared to the traditional orthogonal multiple access (OMA) and the derived expressions for the outage probability and the average sum rate match well with the Monte Carlo simulations.
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The Impact of Power Allocation on Cooperative Non-orthogonal Multiple Access Networks With SWIPT
TL;DR: Analytical results demonstrate that the two power allocation policies realize different tradeoffs between the reception reliability, user fairness and system complexity, although all of them realize the same diversity gain.
Journal ArticleDOI
On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users
TL;DR: In this article, the performance of NOMA in a cellular downlink scenario with randomly deployed users is investigated, and the developed analytical results show that NOMAs can achieve superior performance in terms of ergodic sum rates; however, the outage performance of nOMA depends critically on the choices of the users' targeted data rates and allocated power.