带能量收集的NOMA系统的吞吐量和延迟优化

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Sensor Networks Pub Date : 2020-11-16 DOI:10.1504/ijsnet.2020.10030152

Nadhir Ben Halima, H. Boujemaa

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引用次数: 0

摘要

本文分析并优化了带能量收集的非正交多址(NOMA)的总吞吐量和平均时延。该源从从另一个节点A接收的射频(RF)信号中获取能量。节点A可以是发射射频信号的任何节点。时长为T的帧包含两个时隙。第一个槽的持续时间为δ t，用于能量收集，其中0 < δ < 1为收集持续时间百分比。第二个时隙的持续时间为(1 - δ)T，用于向N个NOMA用户传输符号的线性组合。我们优化了采集时间和功率分配系数，以最大限度地提高总吞吐量或最小化平均延迟。我们的理论推导对于瑞利衰落信道是有效的。

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Throughput and delay optimization for NOMA systems with energy harvesting

In this paper, we analyse and optimise the total throughput and average delay in non orthogonal multiple access (NOMA) with energy harvesting. The source harvest energy from radio frequency (RF) signals received from another node A. Node A can be any node transmitting RF signals. The frame with duration T contains two time slots. The first slot has duration δT and is dedicated to energy harvesting where 0 < δ < 1 is harvesting duration percentage. The second slot has duration (1 - δ)T and is dedicated to transmission of a linear combination of symbols to N NOMA users. We optimise harvesting duration and power allocation coefficient to maximise the total throughput or minimise the average delay. Our theoretical derivation are valid for Rayleigh fading channels.

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来源期刊

International Journal of Sensor Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

2.40

自引率

27.30%

发文量

期刊介绍： IJSNet proposes and fosters discussion on and dissemination of issues related to research and applications of distributed and wireless/wired sensor and actuator networks. Sensor networks is an interdisciplinary field including many fields such as wireless networks and communications, protocols, distributed algorithms, signal processing, embedded systems, and information management. Topics covered include: -Energy efficiency, energy efficient protocols- Applications- Location techniques, routing, medium access control- Coverage, connectivity, longevity, scheduling, synchronisation- Network resource management, network protocols, lightweight protocols- Fault tolerance/diagnostics- Foundations- Data storage, query processing, system architectures, operating systems- In-network processing and aggregation- Learning of models from data- Mobility- Performance analysis- Sensor tasking and control- Security, privacy, data integrity- Modelling of systems/physical environments, simulation tools/environments.