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Table Of Integrals Series And Products

Summary form only given. The layered architecture is one of the key reasons behind the explosive and continuing growth of the Internet. There are, however, special networks in which cross-layer design is appropriate and may even be necessary. Two such cases are small wireless LAN and large-scale sensor networks. We consider first the design of medium access control (MAC) for a small wireless LAN based on a multiuser physical layer. We present a complete characterization of the throughput region and present conditions under which ALOHA is optimal. Next we consider the estimation of signal field using data collected from a large scale sensor network. The impact of medium access control on estimation is examined. We show that there exists a threshold on sensor outage probability above which a distributed random access protocol (such as ALOHA) outperforms the centralized deterministic schedulers.

On cross-layer design of wireless networks

The sixth generation (6G) wireless communication networks are envisioned to revolutionize customer services and applications via the Internet of Things (IoT) towards a future of fully intelligent and autonomous systems. In this article, we explore the emerging opportunities brought by 6G technologies in IoT networks and applications, by conducting a holistic survey on the convergence of 6G and IoT. We first shed light on some of the most fundamental 6G technologies that are expected to empower future IoT networks, including edge intelligence, reconfigurable intelligent surfaces, space-air-ground-underwater communications, Terahertz communications, massive ultra-reliable and low-latency communications, and blockchain. Particularly, compared to the other related survey papers, we provide an in-depth discussion of the roles of 6G in a wide range of prospective IoT applications via five key domains, namely Healthcare Internet of Things, Vehicular Internet of Things and Autonomous Driving, Unmanned Aerial Vehicles, Satellite Internet of Things, and Industrial Internet of Things. Finally, we highlight interesting research challenges and point out potential directions to spur further research in this promising area.

6G Internet of Things: A Comprehensive Survey

The unmanned aerial vehicle (UAV) is a promising enabler of the Internet of Things (IoT) vision, due to its agile maneuverability. In this paper, we explore the potential gain of UAV-aided data collection in a generalized IoT scenario. Particularly, a composite channel model, including both large-scale and small-scale fading is used to depict typical propagation environments. Moreover, rigorous energy constraints are considered to characterize IoT devices as practically as possible. A multiantenna UAV is employed, which can communicate with a cluster of single-antenna IoT devices to form a virtual MIMO link. We formulate a whole-trajectory-oriented optimization problem, where the transmission duration and the transmit power of all devices are jointly designed to maximize the data collection efficiency for the whole flight. Different from previous studies, only the slowly varying large-scale channel state information is assumed available, to coincide with the fact that practically it is quite difficult to predictively acquire the random small-scale channel fading prior to the UAV flight. We propose an iterative scheme to overcome the nonconvexity of the formulated problem. The presented scheme can provide a significant performance gain over traditional schemes and converges quickly.

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UAV-Aided MIMO Communications for 5G Internet of Things

Recently, broadband maritime communication has attracted much attention due to the rapid development of blue economy. In addition to the conventional MF/HF/VHF bands, there has been increasing interests in the utilization of higher frequency bands to provide broadband data service to the sea area. To design efficient maritime communication systems, the first and a fundamental requirement is to develop a framework to understand the wireless channels. In an integrated air-ground-sea communications network, there are two major type of channels to be investigated, namely the air-to-sea channel (e.g., for communication links from the aircraft-based base stations or relays) and the near-sea-surface channel (for land-to-ship/ship-to-land or ship-to-ship communications). Due to the unique features of the maritime propagation environment such as sparse scattering, sea wave movement, and the ducting effect over the sea surface, the modeling of these maritime channel links differs from conventional terrestrial wireless channels in many aspects and, consequently, will result in significant impact on the transceiver design. In this survey, we highlight the most notable differences from the modeling perspective as well as the channel characteristics for the air-to-sea and near-sea-surface channel links, with more focus on the latter. After a thorough review of existing modeling approaches and measurement campaigns, we conclude that the sparse and the location-dependent properties constitute the most important and distinctive characteristics of the maritime wireless channels. As such, we further remark on the challenges and research topics for future development of maritime communications.

Wireless Channel Models for Maritime Communications

The invention relates to the communication technical field, more specifically an offset pilot frequency position distribution method and apparatus The method comprises: grouping districts; performing pilot frequency position distribution on grouped districts; and performing pilot frequency position distribution on different district users Compared with a static pilot frequency distribution scheme, the scheme of the invention can better reduce district interference caused by pilot frequency pollution, obtain higher system frequency spectrum efficiency, and improve system whole performances; meanwhile, the scheme possesses lower complexity, and can directly and adaptively adjust a pilot frequency position distribution scheme after obtaining the great fading information of a channel

Offset pilot frequency position distribution method and apparatus

The invention provides an ocean communication system, which comprises wireless communication equipment arranged on a first ship, shipborne mobile base stations arranged on a second ship, and satellite communication terminal equipment arranged on the second ship and used for communicating with a marine satellite, wherein the wireless communication equipment, the shipborne mobile base stations and the satellite communication terminal equipment are sequentially connected; the shipborne mobile base stations are used for interacting with the satellite communication terminal equipment; and the wireless communication equipment is used for interacting with the shipborne mobile base stations to achieve communication with the marine satellite. The invention further provides a switching configuration method for shipborne mobile base stations. The method comprises the steps of obtaining access information received by a user interface of each shipborne mobile base station at the beginning of a current configuration cycle; judging whether the wireless communication equipment is accessed or not within a coverage range of each shipborne mobile base station according to the access information received by each shipborne mobile base station; and executing a corresponding configuration strategy according to the judgment result. The ocean communication system is wide in coverage range, moderate in cost, convenient to access and low in energy consumption.

Ocean communication system and switching configuration method for shipborne mobile base stations

Delay-multiply acquisition method is a well known acquisition method but is seldom used in ground GNSS receivers for the sensitivity loss introduced by the multiplication step. As to space-borne GNSS receivers, doppler offset may extend to tens of kHz due to rapid movement of space vehicles at a speed near the first cosmic velocity, which makes delay- multiply acquisition method a prior candidate for GNSS signal acquisition. In this work, we give a detailed mathematical analysis on the performance of delay-multiply acquisition method based on real data only. Comparisons are made between delay- multiply acquisition method and coherent integration acquisition method both in terms of detection probability and equivalent correlators. The results show that for space borne GNSS receivers, delay- multiply acquisition method is equivalent to millions of correlators which easily cancel its sensitivity loss side effect.

Performance Analysis on Delay-Multiply Acquisition for Space-Borne GNSS Receivers

The invention relates to a space-time cooperative transmission optimization method in an irregular multipoint sea area communication network, and belongs to the technical field of channel estimation and transmission under a complicated interference condition in the wireless communication. The method comprises the step of realizing the space-time cooperative transmission optimization by using the joint optimization the time shifting pilot frequency position and power of the large-scale MIMO technology, namely, the base station jointly optimizes the pilot frequency position and power of the next coherent time through the iteration by using the large-scale fading information of the channel in some coherent time, thereby realizing the space-time cooperative transmission optimization. By using the difference of the sea area channel large-scale fading, the inter-cell interference caused by the pilot frequency pollution is reduced through the cooperative optimization of the irregular multi-station time-shifting pilot frequency through the space-time cooperative optimization, thereby providing the frequency spectrum frequency higher than the existing user scheduling scheme.

Space-time cooperative transmission optimization method in irregular multipoint sea area communication network

The invention relates to a process optimization oriented multi-antenna sea area information port cooperative resource allocation method and belongs to the technical field of wireless resource allocation in wireless communication. The method comprises the steps of decomposing business process duration of all users into a plurality of time slots, and establishing an optimization model according to constraint conditions in a system; calculating the optimum solution of the optimization model under maximum power and minimum business quantity constraint according to the optimization model; judging whether the obtained optimum solution P is a feasible solution or not, and if the optimum solution P is the feasible solution, taking the P as a multi-antenna sea area information port cooperative resource allocation result; if the optimum solution P is not the feasible solution, enabling the P to gradually approach to the feasible solution; and obtaining the multi-antenna sea area information port cooperative resource allocation result. According to the method, through utilization of air line information of a ship, the business demand information of the users and the large scale fading characteristic of a sea area channel, the resource allocation efficiency is improved, the system power consumption is reduced and the broadband communication quality of service of the seaborne users is improved.

Te Wei

Papers

Offset pilot frequency position distribution method and apparatus

Ocean communication system and switching configuration method for shipborne mobile base stations

Performance Analysis on Delay-Multiply Acquisition for Space-Borne GNSS Receivers

Space-time cooperative transmission optimization method in irregular multipoint sea area communication network

Process optimization oriented multi-antenna sea area information port cooperative resource allocation method