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Table Of Integrals Series And Products

Massive multiple-input multiple-output MIMO is one of themost promising technologies for the next generation of wirelesscommunication networks because it has the potential to providegame-changing improvements in spectral efficiency SE and energyefficiency EE. This monograph summarizes many years ofresearch insights in a clear and self-contained way and providesthe reader with the necessary knowledge and mathematical toolsto carry out independent research in this area. Starting froma rigorous definition of Massive MIMO, the monograph coversthe important aspects of channel estimation, SE, EE, hardwareefficiency HE, and various practical deployment considerations.From the beginning, a very general, yet tractable, canonical systemmodel with spatial channel correlation is introduced. This modelis used to realistically assess the SE and EE, and is later extendedto also include the impact of hardware impairments. Owing tothis rigorous modeling approach, a lot of classic "wisdom" aboutMassive MIMO, based on too simplistic system models, is shownto be questionable.

https://www.nowpublishers.com/article/DownloadSummary/SIG-093

Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency

Multiple antenna technologies have attracted much research interest for several decades and have gradually made their way into mainstream communication systems. Two main benefits are adaptive beamforming gains and spatial multiplexing, leading to high data rates per user and per cell, especially when large antenna arrays are adopted. Since multiple antenna technology has become a key component of the fifth-generation (5G) networks, it is time for the research community to look for new multiple antenna technologies to meet the immensely higher data rate, reliability, and traffic demands in the beyond 5G era. Radically new approaches are required to achieve orders-of-magnitude improvements in these metrics. There will be large technical challenges, many of which are yet to be identified. In this paper, we survey three new multiple antenna technologies that can play key roles in beyond 5G networks: cell-free massive MIMO, beamspace massive MIMO, and intelligent reflecting surfaces. For each of these technologies, we present the fundamental motivation, key characteristics, recent technical progresses, and provide our perspectives for future research directions. The paper is not meant to be a survey/tutorial of a mature subject, but rather serve as a catalyst to encourage more research and experiments in these multiple antenna technologies.

/pdf/prospective-multiple-antenna-technologies-for-beyond-5g-m5fvfgltfg.pdf

Prospective Multiple Antenna Technologies for Beyond 5G

Cell-free (CF) massive multiple-input-multiple-output (MIMO) systems have a large number of individually controllable antennas distributed over a wide area for simultaneously serving a small number of user equipments (UEs). This solution has been considered as a promising next-generation technology due to its ability to offer a similar quality of service to all UEs despite its low-complexity signal processing. In this paper, we provide a comprehensive survey of CF massive MIMO systems. To be more specific, the benefit of the so-called channel hardening and the favorable propagation conditions are exploited. Furthermore, we quantify the advantages of CF massive MIMO systems in terms of their energy- and cost-efficiency. Additionally, the signal processing techniques invoked for reducing the fronthaul burden for joint channel estimation and for transmit precoding are analyzed. Finally, the open research challenges in both its deployment and network management are highlighted.

/pdf/cell-free-massive-mimo-a-new-next-generation-paradigm-3123g8nq85.pdf

Cell-Free Massive MIMO: A New Next-Generation Paradigm

Nowadays, mmWave MIMO systems are favorable candidates for 5G cellular systems. However, a key challenge is the high power consumption imposed by its numerous RF chains, which may be mitigated by opting for low-resolution ADCs, while tolerating a moderate performance loss. In this article, we discuss several important issues based on the most recent research on mmWave massive MIMO systems relying on low-resolution ADCs. We discuss the key transceiver design challenges, including channel estimation, signal detector, channel information feedback and transmit precoding. Furthermore, we introduce a mixed-ADC architecture as an alternative technique of improving overall system performance. Finally, the associated challenges and potential implementations of the practical 5G mmWave massive MIMO system with ADC quantizers are discussed.

/pdf/on-low-resolution-adcs-in-practical-5g-millimeter-wave-is144telbe.pdf

On Low-Resolution ADCs in Practical 5G Millimeter-Wave Massive MIMO Systems

The guarantee technology of MAC quality of service (QoS) for Wireless Mesh Network is proposed in this paper. While the MAC protocol of IEEE 802.16 Mesh mode has provided a good framework for QoS guarantee, there is not a detailed standard for the resource scheduling algorithm in the MAC protocol. So further development is left to designers. According to the characteristics of WMN, this paper presents a resource scheduling algorithm. Also, the paper designs a new congestion detection module in MAC layer. With the help of the new congestion detection module, the congestion handling capacity of the network is improved and QoS guarantee mechanism is enhanced. To evaluate the performance of the algorithm, a simulation platform is set and implemented. The simulation results show that the new resource scheduling algorithm and congestion detection algorithm not only ensure the service priority of real-time operation but also improve the resource utilization and the network throughput.

Resource scheduling and congestion control for WMN

The frequency scarcity imposed by fast growing demand for mobile data service requires promising spectrum aggregation systems. The so-called higher-order statistics (HOS) of the channel capacity is a suitable metric on the system performance. While prior relevant works have improved our knowledge on the HOS characterization of spectrum aggregation systems, an analytical framework encompassing generalized fading models of interest is not yet available. In this paper, we pursue a detailed HOS analysis of $\kappa$-$\mu$ and $\kappa$-$\mu$ shadowed fading channels by deriving novel and exact expressions. Furthermore, the simplified HOS expressions for the asymptotically low and high signal-to-noise regimes are derived. Several important statistical measures, such as amount of fading, amount of dispersion, reliability, skewness, and kurtosis, are obtained by using the HOS results. More importantly, the useful implications of system and fading parameters on spectrum aggregation systems are investigated for channel selection. Finally, all derived expressions are validated via Monte-Carlo simulations.

On High-Order Capacity Statistics of Spectrum Aggregation Systems over $\kappa$-$\mu$ and $\kappa$-$\mu$ shadowed Fading Channels

Target the increasing access demand in the upcoming sixth-generation (6G) wireless networks, this paper firstly introduces an efficient non-orthogonal neighbor election random access scheme with immediate neighborhood information maintenance, successive interference cancellation (SIC) and iterative decoding. We firstly derive the distribution of the number of transmitting neighbors and reveal that there are up to two neighboring transmitters in over 98% of cases, which is naturally suitable for SIC procedures. Accordingly, an approximated analytical model of NO-NERA performance is established. Numerical results verify the validity of the approximations and show that NO-NERA can improve both the area spectrum efficiency and mean delay of the existing distributed neighbor election scheme in both unicast and broadcast traffic scenarios.

Non-Orthogonal Neighbor Election Random Access for Distributed 6G Wireless Networks

In Orthogonal Frequency Division Multiplexing (OFDM) system, synchronization and channel estimation are two important issues under the wireless fading channel in broadband wireless communication. The timing and frequency offset will affect the accuracy of channel estimation. These issues are studied in this paper, and a frequency selective fading channel under the OFDM system model is set up. This paper presents a cost function of combined estimation for timing synchronization, carrier synchronization and channel estimation, which is based on Maximum Likelihood. On this basis, a combined estimation algorithm using Maximum Likelihood is proposed. Simulation results show that the algorithm has high estimation accuracy and low system BER.

Combined synchronization and channel estimation in frequency selective fading channel of OFDM system

LEO satellite networks have risen to the forefront of study with the dynamic topology changes, varying service requirements and intermittent inter-satellite links (ISLs). Resource scheduling mechanism is the key to determining communication efficiency. However, the state-of-the-art cannot achieve high resource efficiency under both heavy and burst traffic loads, and the applicability of parameters design is insufficient under intermittent ISLs. Considering this, we propose a dynamic even distribution mechanism combined with network coding DENC. This novel mechanism obtains the service requirements and allocates resources dynamically through the even distribution algorithm to balance between network maintenance overhead and idle resources waste, and improves the success probability of transmission based on network coding to balance between retransmission and redundancy. In this paper, we establish performance analysis and resource efficiency optimization models to optimize the parameters such as maintenance frequency and coding coefficient. Besides, we construct a system-level simulation platform. Mathematical and simulation results indicate that the DENC performs better than SAHN-MAC, ICSMA, CSMA-TDMA and HTM under dynamic service requirements and intermittent ISLs, and the resource efficiency can be improved by about 130%.

Xu Li

Papers

Resource scheduling and congestion control for WMN

On High-Order Capacity Statistics of Spectrum Aggregation Systems over $\kappa$-$\mu$ and $\kappa$-$\mu$ shadowed Fading Channels

Non-Orthogonal Neighbor Election Random Access for Distributed 6G Wireless Networks

Combined synchronization and channel estimation in frequency selective fading channel of OFDM system

A dynamic even distribution resource scheduling mechanism combined with network coding for inter‐LEO satellite networks