Device-to-device and mobile user communication with queuing in NOMA-based network

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-01-01 DOI:10.21307/IJSSIS-2021-006

V. Balyan, Dhiraj Gupta

引用次数: 1

Abstract

Abstract In this paper, device-to-device (D2D) pairs use the uplink resource of a mobile user. The transmission is done using a non-orthogonal multiple access (NOMA) technology. The D2D pairs are placed in a queue with maximum threshold time. The channel is allocated to D2D pairs using the TDMA scheme with the first in first out (FIFO) principle. Considering the slots of time division multiple access (TDMA) and channel state, the channel is shared by one D2D pair with the mobile user. The signal to interference (SIC) is employed for D2D pair or mobile user based on NOMA. A hybrid of TDMA and NOMA is used in which time and bit allocation are judiciously adopted. The results are simulated for four different scenarios of power and rate requirements with reduced latency and interference.

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基于NOMA的网络中排队的设备对设备和移动用户通信

摘要在本文中，设备对设备（D2D）使用移动用户的上行链路资源。该传输是使用非正交多址（NOMA）技术来完成的。D2D对被放置在具有最大阈值时间的队列中。使用具有先进先出（FIFO）原理的TDMA方案将信道分配给D2D对。考虑到时分多址（TDMA）的时隙和信道状态，信道由一对D2D与移动用户共享。信号干扰（SIC）用于基于NOMA的D2D对或移动用户。使用TDMA和NOMA的混合，其中明智地采用时间和比特分配。在降低延迟和干扰的情况下，模拟了功率和速率要求的四种不同场景的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal on Smart Sensing and Intelligent Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

2.70

自引率

8.30%

发文量

审稿时长

8 weeks

期刊介绍： nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity