Power Optimization and ARSs Selection Strategies in Downlink Cell-Free Multi-ARSs Communication Systems

IF 2.9 4区 综合性期刊 Q1 Multidisciplinary
Bui Anh Duc, Tran Manh Hoang, Nguyen Thu Phuong, Xuan Nam Tran, Pham Thanh Hiep
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Abstract

In this study, we examine the downlink cell-free (CF) multiple aerial relay stations (ARSs) system, where ARSs are outfitted with several antennas, distributed randomly in entire responsible areas, and serve a large number of ground users. The application of the CF model is expected to not only improve the performance of the ARS system but also solve the problem of inconsistent throughput between users and the problem of near-far users in the current advanced networks, such as massive multiple-input multiple-output (mMIMO). Moreover, we propose two ARS selection strategies to cut off poor-quality transmission links in the original CF system, thereby reducing the power consumption of ARSs, reducing interference between users, and improving user throughput. We calculate a closed-form formulation for downlink user throughput under the condition of using conjugate beamforming technology. We optimize the pilot and downlink data transmission coefficients using the successive convex approximation (SCA) method and second-order cone programming (SOCP), respectively. The proposed optimization methods mitigate the problems of "pilot contamination" in channel estimation and inter-user interference in downlink data transmission of systems allowing multiple ARS to access the channel simultaneously. Our findings have assessed the downlink system throughput with pilot and data transmission power optimization for superior results based on a variety of selection strategies as well as the CF model (using all ARSs). In addition, the findings also indicate that the proposed novel ARS selection strategies have better user throughput than the CF technique with a specific number of selected ARS. Our proposed system is a promising technology and opens up various practical application scenarios for 6G networks.

Abstract Image

下行链路无小区多ARS通信系统中的功率优化和ARS选择策略
在本研究中,我们探讨了下行链路无小区(CF)多空中中继站(ARS)系统,在该系统中,ARS 装有多个天线,随机分布在整个责任区,为大量地面用户提供服务。CF 模型的应用不仅有望提高 ARS 系统的性能,还能解决当前先进网络(如大规模多输入多输出(mMIMO)网络)中用户间吞吐量不一致的问题和用户距离过近的问题。此外,我们还提出了两种 ARS 选择策略,以切断原始 CF 系统中的劣质传输链路,从而降低 ARS 的功耗,减少用户间的干扰,提高用户吞吐量。在使用共轭波束成形技术的条件下,我们计算了下行用户吞吐量的闭式公式。我们分别使用逐次凸近似法(SCA)和二阶锥编程法(SOCP)优化了先导系数和下行链路数据传输系数。所提出的优化方法缓解了信道估计中的 "先导污染 "问题,以及允许多个 ARS 同时访问信道的系统在下行链路数据传输中的用户间干扰问题。我们的研究结果评估了下行链路系统的吞吐量,并根据各种选择策略和 CF 模型(使用所有 ARS)对先导和数据传输功率进行了优化,以获得更优的结果。此外,研究结果还表明,与采用特定数量 ARS 的 CF 技术相比,所提出的新型 ARS 选择策略具有更好的用户吞吐量。我们提出的系统是一项前景广阔的技术,为 6G 网络开辟了各种实际应用场景。
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来源期刊
Arabian Journal for Science and Engineering
Arabian Journal for Science and Engineering 综合性期刊-综合性期刊
CiteScore
5.20
自引率
3.40%
发文量
0
审稿时长
4.3 months
期刊介绍: King Fahd University of Petroleum & Minerals (KFUPM) partnered with Springer to publish the Arabian Journal for Science and Engineering (AJSE). AJSE, which has been published by KFUPM since 1975, is a recognized national, regional and international journal that provides a great opportunity for the dissemination of research advances from the Kingdom of Saudi Arabia, MENA and the world.
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