results: 研究发现，气候鲜度无人机可以在不同的天气条件下提供更高的能效性、降低干扰、提高数据传输率，并且在不同的天气条件下可以获得最佳通道增强。Abstract
This paper explores the crucial role of Unmanned Aerial Vehicles (UAVs) in advancing Beyond Fifth Generation (B5G) communication networks, especially in adverse weather conditions like rain, fog, and snow. The study investigates the synergy between climate-resilient UAVs and energy-efficient B5G communication. Key findings include the impact of weather elements on UAV coverage and communication dynamics. The research demonstrates significant enhancements in energy efficiency, reduced interference, increased data transmission rates, and optimal channel gain under various weather conditions. Overall, this paper emphasizes the potential of climate-resilient UAVs to improve energy-efficient B5G communication and highlights technology's role in mitigating climate change's impact on communication systems, promoting sustainability and resilience.
摘要
这篇论文探讨无人飞行器（UAV）在 fifth Generation 以上通信网络中的重要作用，特别是在雨、雾和雪等不利天气 услови下。 研究发现了气候适应UAV和能效B5G通信之间的共同作用，以及不同天气条件下UAV覆盖和通信动态的影响。 研究显示在不同的天气条件下，气候适应UAV可以提高能效率，减少干扰，提高数据传输速率，并且在不同的天气条件下实现最佳通道增强。总的来说，这篇论文强调气候适应UAV在能效B5G通信中的潜在作用，并 highlights 技术在气候变化对通信系统的影响下的作用，推动可持续发展和可靠性。
Frequency-Domain Detection for Molecular Communication with Cross-Reactive Receptors
paper_authors: Meltem Civas, Murat Kuscu, Ozgur B. Akan
for: This paper is written for the development of a frequency-domain detection (FDD) technique for bioFET-based molecular communication receivers (MC-Rxs) to overcome molecular cross-talk in the time domain.
methods: The paper proposes the use of a frequency-domain detection technique that exploits the difference in binding reaction rates of different ligand types reflected in the power spectrum of the ligand-receptor binding noise to decode transmitted concentration signals.
results: The paper demonstrates the effectiveness of the proposed FDD technique in decoding transmitted concentration signals under stochastic molecular interference compared to a widely used time-domain detection (TDD) technique, and verifies the analytical performance bounds of the FDD through a particle-based spatial stochastic simulator simulating reactions on the MC-Rx in microfluidic channels.Abstract
Molecular Communications (MC) is a bio-inspired communication paradigm that uses molecules as information carriers, requiring unconventional transceivers and modulation/detection techniques. Practical MC receivers (MC-Rxs) can be implemented using field-effect transistor biosensor (bioFET) architectures, where surface receptors reversibly react with ligands. The time-varying concentration of ligand-bound receptors is translated into electrical signals via field effect, which is used to decode the transmitted information. However, ligand-receptor interactions do not provide an ideal molecular selectivity, as similar ligand types, i.e., interferers, co-existing in the MC channel, can interact with the same type of receptors. Overcoming this molecular cross-talk in the time domain can be challenging, especially when Rx has no knowledge of the interferer statistics or operates near saturation. Therefore, we propose a frequency-domain detection (FDD) technique for bioFET-based MC-Rxs that exploits the difference in binding reaction rates of different ligand types reflected in the power spectrum of the ligand-receptor binding noise. We derive the bit error probability (BEP) of the FDD technique and demonstrate its effectiveness in decoding transmitted concentration signals under stochastic molecular interference compared to a widely used time-domain detection (TDD) technique. We then verified the analytical performance bounds of the FDD through a particle-based spatial stochastic simulator simulating reactions on the MC-Rx in microfluidic channels.
摘要
молекулярcommunications（MC）是一种生物体注意的通信模式，使用分子作为信息传递者，需要不同寻常的接收器和模ulation/探测技术。实际的MC接收器（MC-Rx）可以通过场效 транзистор生物感应（bioFET）建筑实现，其表面受体逆转受体与抗体结合。时间变化的抗体结合的分子浓度通过场效转换成电学信号，用于解码传输的信息。但是，抗体-受体交互不提供理想的分子选择性，因为同类抗体在MC通道中可能与同类受体结合。在时间频谱中解决这种分子交叉通信可以是挑战，特别是当接收器没有知道干扰者统计或在满载状态下操作时。因此，我们提出了频率域检测（FDD）技术，该技术利用不同抗体类型在绑定反应速率上的差异，反映在抗体-受体绑定噪声的能量спектrum中。我们计算了FDD技术的比特错误概率（BEP），并证明其在对抗杂噪声的情况下比时频域检测（TDD）技术更有效地解码传输的浓度信号。我们然后通过使用粒子基的空间随机仿真器模拟MC-Rx在微 fluidic通道中的反应，验证了我们的分析性能下限。
Frequency Estimation Using Complex-Valued Shifted Window Transformer
results: 对比传统的Periodogram、MUSIC和OMP算法以及state-of-the-art的deep learning方法cResFreq，SwinFreq和CVSwinFreq具有更高的性能、更好的分辨率和更少的模型参数，因此更适合边缘和移动应用。此外， authors发现了real-valued Swin-Freq在某些任务上表现更好，而且具有较小的模型大小。最后， authors应用了提posed方法于实际雷达范profile超分辨率 task中，实验结果 validate了SwinFreq和CVSwinFreq的数值和实验上的优越性。Abstract
Estimating closely spaced frequency components of a signal is a fundamental problem in statistical signal processing. In this letter, we introduce 1-D real-valued and complex-valued shifted window (Swin) transformers, referred to as SwinFreq and CVSwinFreq, respectively, for line-spectra frequency estimation on 1-D complex-valued signals. Whereas 2-D Swin transformer-based models have gained traction for optical image super-resolution, we introduce for the first time a complex-valued Swin module designed to leverage the complex-valued nature of signals for a wide array of applications. The proposed approach overcomes the limitations of the classical algorithms such as the periodogram, MUSIC, and OMP in addition to state-of-the-art deep learning approach cResFreq. SwinFreq and CVSwinFreq boast superior performance at low signal-to-noise ratio SNR and improved resolution capability while requiring fewer model parameters than cResFreq, thus deeming it more suitable for edge and mobile applications. We find that the real-valued Swin-Freq outperforms its complex-valued counterpart CVSwinFreq for several tasks while touting a smaller model size. Finally, we apply the proposed techniques for radar range profile super-resolution using real data. The results from both synthetic and real experimentation validate the numerical and empirical superiority of SwinFreq and CVSwinFreq to the state-of-the-art deep learning-based techniques and traditional frequency estimation algorithms. The code and models are publicly available at https://github.com/josiahwsmith10/spectral-super-resolution-swin.
摘要
估计 closely spaced frequency component of a signal 是统计信号处理中的基本问题。在这封信件中，我们介绍了1维实数值和复数值偏移窗变换器（Swin），称为SwinFreq和CVSwinFreq，用于1维复数值信号的线pectra频率估计。而2维Swin transformer-based模型在光学超分解中获得了进步，我们是第一次引入一种用于信号的复数值Swin模块，用以利用信号的复数值特性，并且可以应用于各种应用程序。我们的方法可以超越经典算法，如期ogram、MUSIC和OMP，以及当前的深度学习方法cResFreq。SwinFreq和CVSwinFreq具有低SNR和提高分辨率的优势，同时需要 fewer model parameter than cResFreq，因此适用于边缘和移动应用。我们发现实数值Swin-Freq在一些任务上表现出色，而且具有较小的模型大小。最后，我们应用了提议的技术于雷达距离Profile超分解中使用实际数据。实验结果证明了SwinFreq和CVSwinFreq的数学和实验准确性，并超越了当前的深度学习基于技术和经典频率估计算法。代码和模型可以在https://github.com/josiahwsmith10/spectral-super-resolution-swin上获得。
Asymptotic Analysis of the Downlink in Cooperative Massive MIMO Systems
For: The paper is written for a cooperative cellular communications system, where multiple base stations around each mobile station cooperate to reduce interference and improve system performance.* Methods: The paper uses closed-form expressions to derive the asymptotic performance of the network as the number of antennas per base station increases, and includes Monte Carlo simulations to verify the results. The paper also proposes a power allocation algorithm that achieves near-optimal performance with reduced coordination overhead between base stations.* Results: The paper shows that the asymptotic results capture the trade-off between various system parameters, and characterize the joint effect of noise and interference. The results are useful even when the number of antennas per base station is only moderately large, and the proposed power allocation algorithm achieves near-optimal performance with reduced coordination overhead.Here is the format you requested for the simplified Chinese text:* For: 这篇论文是关于协同通信系统的下行频率调制，多个基站周围每个移动站协同进行零干扰，以降低接收到移动站的干扰。* Methods: 论文使用closed-form表达式来 deriv asymptotic性能表达式，并通过 Monte Carlo仿真来验证结果。论文还提出了一种功率分配算法，可以在基站之间减少协调开销。* Results: 论文显示， asymptotic结果 capture了系统参数之间的贸易off，并characterize了干扰和噪声的共同效应。结果是用于 moderately large antenna数per base station，并且提出的功率分配算法可以实现 near-optimal性能，同时减少协调开销。Abstract
We consider the downlink of a cooperative cellular communications system, where several base-stations around each mobile cooperate and perform zero-forcing to reduce the received interference at the mobile. We derive closed-form expressions for the asymptotic performance of the network as the number of antennas per base station grows large. These expressions capture the trade off between various system parameters, and characterize the joint effect of noise and interference (where either noise or interference is asymptotically dominant and where both are asymptotically relevant). The asymptotic results are verified using Monte Carlo simulations, which indicate that they are useful even when the number of antennas per base station is only moderately large. Additionally, we show that when the number of antennas per base station grows large, power allocation can be optimized locally at each base station. We hence present a power allocation algorithm that achieves near optimal performance while significantly reducing the coordination overhead between base stations. The presented analysis is significantly more challenging than the uplink analysis, due to the dependence between beamforming vectors of nearby base stations. This statistical dependence is handled by introducing novel bounds on marked shot-noise point processes with dependent marks, which are also useful in other contexts.
摘要
我团队考虑了一个合作的移动通信系统的下链，其中各个基站附近的移动站合作，并通过零干扰来减少移动站接收的干扰。我们 deriv了大面积表达式，用于描述系统的极限性能，这些表达式捕捉了系统参数之间的贸易OFF和干扰的共同作用，以及干扰和噪声之间的交互作用。我们使用Monte Carlo仿真来验证我们的结论，并发现这些结论在只有 moderately 大的antenna数时仍然有用。此外，我们还证明了当antenna数量增大时，每个基站可以地方Optimize its power allocation，以达到近似优化性能的目的，同时减少基站之间协调 overhead。在这个分析中，我们面临的挑战在于附近基站的扩散波形矩阵之间的统计依赖关系。我们使用了新的 bounds on marked shot-noise point processes with dependent marks来处理这种统计依赖关系。这些bounds也可以在其他 contexts 中使用。
Toward Beamfocusing-Aided Near-Field Communications: Research Advances, Potential, and Challenges
results: 数值结果表明NFC可以提高空间多重化增量和位置准确性。此外，论文还提出了一些未来研究的开问，以便进一步探索NFC的潜在应用和发展。Abstract
Next-generation mobile networks promise to support high throughput, massive connectivity, and improved energy efficiency. To achieve these ambitious goals, extremely large-scale antenna arrays (ELAAs) and terahertz communications constitute a pair of promising technologies. This will result in future wireless communications occurring in the near-field regions. To accurately portray the channel characteristics of near-field wireless propagation, spherical wavefront-based models are required and present both opportunities as well as challenges. Following the basics of near-field communications (NFC), we contrast it to conventional far-field communications. Moreover, we cover the key challenges of NFC, including its channel modeling and estimation, near-field beamfocusing, as well as hardware design. Our numerical results demonstrate the potential of NFC in improving the spatial multiplexing gain and positioning accuracy. Finally, a suite of open issues are identified for motivating future research.
摘要
Next-generation mobile networks 将支持高速、大量连接和改善能源效率。为实现这些目标，极大规模天线阵列（ELAAs）和teraHz通信技术是两种承诺技术。这将导致未来无线通信发生在近场区域。为准确描述近场无线媒体特性，球形波front基于模型是必需的，并提供了机会和挑战。根据近场通信（NFC）的基本原理，我们对它与传统远场通信进行了比较。此外，我们还讨论了NFC的主要挑战，包括通道模型化和估计、近场焦点定向以及硬件设计。我们的数字结果表明NFC可以提高空间复用增量和位置准确性。最后，我们确定了一些未解决的问题，以便激励未来的研究。Note: Please note that the translation is in Simplified Chinese, which is the standard form of Chinese used in mainland China and Singapore. If you need Traditional Chinese, please let me know.
Cramer-Rao Bound Optimization for Active RIS-Empowered ISAC Systems
results: simulation results validate the effectiveness of the developed algorithm and the potential of employing active RIS in ISAC systems to enhance direct-of-arrival（DoA）估算性能。Abstract
Integrated sensing and communication (ISAC), which simultaneously performs sensing and communication functions using the same frequency band and hardware platform, has emerged as a promising technology for future wireless systems. However, the weak echo signal received by the low-sensitivity ISAC receiver severely limits the sensing performance. Active reconfigurable intelligent surface (RIS) has become a prospective solution by situationally manipulating the wireless propagations and amplifying the signals. In this paper, we investigate the deployment of active RIS-empowered ISAC systems to enhance radar echo signal quality as well as communication performance. In particular, we focus on the joint design of the base station (BS) transmit precoding and the active RIS reflection beamforming to optimize the parameter estimation performance in terms of Cramer-Rao bound (CRB) subject to the service users' signal-to-interference-plus-noise ratio (SINR) requirements. An efficient algorithm based on block coordinate descent (BCD), semidefinite relaxation (SDR), and majorization-minimization (MM) is proposed to solve the formulated challenging non-convex problem. Finally, simulation results validate the effectiveness of the developed algorithm and the potential of employing active RIS in ISAC systems to enhance direct-of-arrival (DoA) estimation performance.
摘要
Integrated sensing and communication (ISAC)技术，它同时执行感知和通信功能，使用同一个频率带和硬件平台，已经成为未来无线系统的一种优秀技术。然而，低敏感度ISAC接收器接收到的弱回声信号，严重限制了感知性能。活动可重配置表面（RIS）已成为一种可能的解决方案，通过 Situationally manipulating wireless propagation和增强信号。在这篇论文中，我们 investigate了活动RIS-empowered ISAC系统的部署，以提高雷达回声信号质量以及通信性能。具体来说，我们关注了基站（BS）传输 precoding 和活动RIS反射扩散的共同设计，以优化参数估计性能，并达到服务用户的信号干扰plus noise ratio（SINR）要求。我们提出了一种高效的算法，基于块坐标降解（BCD）、凸relaxation（SDR）和主要化-最小化（MM）来解决复杂非对称问题。最后，我们的实验结果证明了我们提出的算法的有效性，以及活动RIS在ISAC系统中的潜在优势。
NOMA-Based Coexistence of Near-Field and Far-Field Massive MIMO Communications
results: 研究结果表明，通过NOMA原理可以有效地支持近场和远场通信的合作，并且可以通过增加基站antenna数来提高NOMA-assisted大量MIMO网络的性能。Abstract
This letter considers a legacy massive multiple-input multiple-output (MIMO) network, in which spatial beams have been preconfigured for near-field users, and proposes to use the non-orthogonal multiple access (NOMA) principle to serve additional far-field users by exploiting the spatial beams preconfigured for the legacy near-field users. Our results reveal that the coexistence between near-field and far-field communications can be effectively supported via NOMA, and that the performance of NOMA-assisted massive MIMO can be efficiently improved by increasing the number of antennas at the base station.
摘要
这封信件考虑了一个传统的大规模多输入多输出（MIMO）网络，在near-field用户中预先配置了空间扩散，并提议使用非对称多access（NOMA）原则来为更远的far-field用户提供服务，利用预先配置的near-field用户的空间扩散。我们的结果表明，near-field和far-field通信的共存可以通过NOMA进行有效支持，并且通过提高基站antenna数量来提高NOMA-assisted大规模MIMO的性能。Note that Simplified Chinese is used in mainland China and Singapore, while Traditional Chinese is used in Taiwan and Hong Kong.
Throughput Analysis of IEEE 802.11bn Coordinated Spatial Reuse
paper_authors: Francesc Wilhelmi, Lorenzo Galati-Giordano, Giovanni Geraci, Boris Bellalta, Gianluca Fontanesi, David Nuñez
for: This paper focuses on the Coordinated Spatial Reuse (C-SR) feature of the Multi-Access Point Coordination (MAPC) in the IEEE 802.11bn amendment (Wi-Fi 8).
methods: The authors use an analytical model based on Continuous Time Markov Chains (CTMCs) to characterize the throughput and spatial efficiency of C-SR.
results: The authors show that C-SR can opportunistically enable parallel high-quality transmissions and achieve an average throughput gain of up to 59% compared to the legacy 802.11 Distributed Coordination Function (DCF) and up to 42% compared to the 802.11ax Overlapping Basic Service Set Packet Detect (OBSS/PD) mechanism.Here is the result in Simplified Chinese text:
methods: 作者们使用基于 kontinuous Time Markov Chains（CTMCs）的分析模型来描述C-SR的吞吐量和空间效率。
results: 作者们表明，C-SR可以机会地实现并发高质量传输，并实现与legacy 802.11分布协调函数（DCF）和802.11ax Overlapping Basic Service Set Packet Detect（OBSS/PD）机制相比的吞吐量提高，最高达59%。Abstract
Multi-Access Point Coordination (MAPC) is becoming the cornerstone of the IEEE 802.11bn amendment, alias Wi-Fi 8. Among the MAPC features, Coordinated Spatial Reuse (C-SR) stands as one of the most appealing due to its capability to orchestrate simultaneous access point transmissions at a low implementation complexity. In this paper, we contribute to the understanding of C-SR by introducing an analytical model based on Continuous Time Markov Chains (CTMCs) to characterize its throughput and spatial efficiency. Applying the proposed model to several network topologies, we show that C-SR opportunistically enables parallel high-quality transmissions and yields an average throughput gain of up to 59% in comparison to the legacy 802.11 Distributed Coordination Function (DCF) and up to 42% when compared to the 802.11ax Overlapping Basic Service Set Packet Detect (OBSS/PD) mechanism.
摘要
多点存取协调（MAP）正成为IEEE 802.11bn 修订（即Wi-Fi 8）的核心。其中，协调空间重复（C-SR）是最吸引人的功能之一，因为它可以实现低实现 Complexity 下的同时多点变数通信。在本文中，我们对C-SR进行了分析，并基于状态空间过程（CTMC）引入了一个分析模型，以描述它的吞吐率和空间效率。我们将这个模型应用到了多个网络架构上，结果显示，C-SR可以允许高质量的平行传输，并产生了与传统802.11 DCF和802.11ax OBSS/PD Mechanism 相比的吞吐率增加，具体是59%。
For: This paper is written to introduce and analyze the code domain-based sparse code multiple access (SCMA) non-orthogonal multiple access (NOMA) scheme to enhance the spectral efficiency of wireless networks.* Methods: The paper uses code domain-based SCMA, which is designed and detected using a hybrid multiple access scheme that combines code-domain and power-domain NOMA. The paper also discusses the method for codebooks design and its impact on system performance.* Results: The paper includes simulation results to show the impact of various SCMA system parameters, such as the number of users, the spreading factor, and the code length, on the system performance. The results demonstrate the potential of SCMA to enhance the spectral efficiency of wireless networks.Abstract
Next-generation wireless networks require higher spectral efficiency and lower latency to meet the demands of various upcoming applications. Recently, non-orthogonal multiple access (NOMA) schemes are introduced in the literature for 5G and beyond. Various forms of NOMA are considered like power domain, code domain, pattern division multiple access, etc. to enhance the spectral efficiency of wireless networks. In this chapter, we introduce the code domain-based sparse code multiple access (SCMA) NOMA scheme to enhance the spectral efficiency of a wireless network. The design and detection of an SCMA system are analyzed in this chapter. Also, the method for codebooks design and its impact on system performance are highlighted. A hybrid multiple access scheme is also introduced using both code-domain and power-domain NOMA. Furthermore, simulation results are included to show the impact of various SCMA system parameters.ext-generation wireless networks require higher spectral efficiency and lower latency to meet the demands of various upcoming applications. Recently, non-orthogonal multiple access (NOMA) schemes are introduced in the literature for 5G and beyond. Various forms of NOMA are considered like power domain, code domain, pattern division multiple access, etc. to enhance the spectral efficiency of wireless networks. In this chapter, we introduce the code domainbased sparse code multiple access (SCMA) NOMA scheme to enhance the spectral efficiency of a wireless network. The design and detection of an SCMA system are analyzed in this chapter. Also, the method for codebooks design and its impact on system performance are highlighted. A hybrid multiple access scheme is also introduced using both code-domain and power-domain NOMA. Furthermore, simulation results are included to show the impact of various SCMA system parameters.
摘要