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下行链路全双工协作 NOMA 蜂窝系统中具有不完善的 SI 消除和底层 D2D 通信的资源分配。

Resource Allocation for Downlink Full-Duplex Cooperative NOMA-Based Cellular System with Imperfect SI Cancellation and Underlaying D2D Communications.

机构信息

School of Engineering, Lebanese International University, Al Khyiara, West Bekaa, Lebanon.

Laboratoire des Signaux et Systèmes, Université Paris Saclay- CNRS -CentraleSupélec, 91190 Gif-sur-Yvette, France.

出版信息

Sensors (Basel). 2021 Apr 14;21(8):2768. doi: 10.3390/s21082768.

DOI:10.3390/s21082768
PMID:33919923
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8070914/
Abstract

In this paper, the interplay between non-orthogonal multiple access (NOMA), device-to-device (D2D) communication, full-duplex (FD) technology, and cooperation networks is proposed, and a resource allocation problem is investigated. Specifically, a downlink FD cooperative NOMA-based cellular system with underlaying D2D communications is proposed, where, in each NOMA group, the strong user assists the weak user as an FD relay with imperfect self interference (SI) cancellation. In terms of reaping spectral efficiency benefits, the system sum rate is to be maximized by optimizing channel allocation. This optimization is based on quality of service (QoS) constraints of D2D pairs and cellular users (CUs), power budget of base station and strong user (cooperative phase), and successive interference cancellation (SIC) constraints. Since the maximization formulated problem is computationally challenging to be addressed, a two-sided stable many-to-one matching algorithm, based on Pareto improvement, performs sub-channel assignment. Extensive simulations are implemented to demonstrate the system performance indicated by different metrics.

摘要

本文提出了非正交多址接入(NOMA)、设备到设备(D2D)通信、全双工(FD)技术和协作网络之间的相互作用,并研究了资源分配问题。具体来说,提出了一种基于下行链路 FD 协作 NOMA 的蜂窝系统,其中在每个 NOMA 组中,强用户作为 FD 中继协助弱用户,同时存在不完全的自干扰(SI)消除。为了获得频谱效率的提高,通过优化信道分配来最大化系统和速率。该优化基于 D2D 对和蜂窝用户(CU)的服务质量(QoS)约束、基站和强用户(协作阶段)的功率预算以及连续干扰消除(SIC)约束。由于所提出的最大化问题在计算上具有挑战性,因此基于帕累托改进的双边稳定多对一匹配算法执行子信道分配。通过不同的指标进行了广泛的仿真,以验证系统性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/6d652edd14f9/sensors-21-02768-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/3b04afd82b53/sensors-21-02768-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/6c74c3e312d5/sensors-21-02768-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/0b5f46463774/sensors-21-02768-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/4e34eb6adab3/sensors-21-02768-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/6d652edd14f9/sensors-21-02768-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/9b48dbbbfc4c/sensors-21-02768-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/ef4f3276e0df/sensors-21-02768-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/892ff9c8b1ae/sensors-21-02768-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/3b04afd82b53/sensors-21-02768-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/6c74c3e312d5/sensors-21-02768-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/0b5f46463774/sensors-21-02768-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/4e34eb6adab3/sensors-21-02768-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b6a/8070914/6d652edd14f9/sensors-21-02768-g014.jpg

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本文引用的文献

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