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12th International Symposium on Antennas, Propagation and Electromagnetic Theory (ISAPE)

作者： Yi, Haofan Guan, Ke He, Danping Ai, Bo Zhong, Zhangdui Kim, Junhyeong Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing Peoples R China Beijing Engn Res Ctr High Speed Railway Broadband Beijing 100044 Peoples R China Elect & Telecommun Res Inst Mobile Applicat Res Dept Daejeon 34129 South Korea Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon 34141 South Korea

ISBN: (纸本)9781538673027

Very high throughput (VHT) intensive applications which demand a high data rate of Gigabits per second, motivate the exploration of millimeter-wave (mmWave) band, such as 60 GHz. With the new era of "smart rail mobility", surfing the Internet, in general, accessing the network has become the fundamental part of the rail traffic services. Hence, this paper discusses the wireless coverage, which is the core of network planning, for intra-wagon scenario at 60 GHz band. First, the three-dimensional (3D) high-speed train (HST) model is reconstructed according to the actual size of China Railways CRH5. Then, we utilize a self-developed reliable ray-tracing (RT) simulator and set various parameters proposed by IEEE 802.11ad, which is a typical standard operating at 60 GHz band. Our result indicates that the wireless coverage is maximized while maximizing the number of the transmitters and the combination of transmit power and antenna gain. By considering the balance of the wireless coverage and the cost of the transmitters, the deployment of two transmitters in one wagon is suggested.

关键词： Intra wagon network planning ray-tracing wireless coverage 60 GHz

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wireless coverage in Undulating Terrain Based on Ray Tracing

Wireless Coverage in Undulating Terrain Based on Ray Tracing

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International Conference on Computer Systems, Electronics and Control (ICCSEC)

作者： Shen MiaoFang Guangzhou Int Econ Coll Guangzhou 510540 Guangdong Peoples R China

ISBN: (纸本)9781538635735

In order to explore the wireless coverage in undulating terrain, the theoretical basis of ray tracing is introduced, including geometrical optics and uniform theory of diffraction. Based on this, the wireless channel parameters and their corresponding formulas are provided. In addition, the environment modeling method in view of complex typical indoor scenes is put forward, and a new standard environment information format which can be used in indoor 3D ray tracing algorithm is designed. What's more, the operation steps of 3D indoor ray tracing coverage prediction are described in detail, and the accurate prediction of narrowband and broadband results in the indoor femtocell environment is realized. And several experiments are done to verify the algorithms in different scenes. The experimental results showed that on the condition of no sacrificing prediction accuracy, the prediction efficiency of ray tracing model is improved. As a result, it is concluded that the ray tracing has certain accuracy in predicting wireless coverage.

关键词： Ray tracing wireless coverage environment modeling

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Energy-Saving Deployment Algorithms of UAV Swarm for Sustainable wireless coverage

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2020年第9期69卷 10320-10335页

作者： Zhang, Xiao Duan, Lingjie South Cent Univ Nationalities Coll Comp Sci Wuhan 430074 Peoples R China Hubei Prov Engn Res Ctr Intelligent Management Mf Wuhan 430074 Peoples R China Singapore Univ Technol & Design Engn Syst & Design Pillar Singapore 487372 Singapore

Recent years have witnessed increasingly more uses of Unmanned Aerial Vehicle (UAV) swarms for rapidly providing wireless coverage to ground users. Each UAV is constrained in its energy storage and wireless coverage, and it consumesmost energy on flying to the top of the target area, thus leaving limited leftover energy for hovering at its deployed position and keeping wireless coverage. The literature largely overlooks the sustainability issues of deploying UAV swarm and the UAV-to-UAV cooperation, and we aim to maximize the minimum leftover energy storage among all the UAVs after their deployment. Our new energy-saving deployment problem captures that each UAV's wireless coverage is adjustable by its service altitude, and also takes the no-fly-zone (NFZ) constraint into account. We show that a UAV with larger initial energy storage in theUAVswarm should be deployed further away from the UAV station, and we propose an optimal energysaving deployment algorithm by jointly balancing heterogeneous UAVs' flying distances on the ground and final service altitudes in the sky. When n UAVs with different initial energy storages are dispatched from different initial locations, we prove this problem is NP-hard in general by reduction from partition problem. Despite of this, we propose to preserve the UAVs' location order and successfully design an approximation algorithm of complexity n log 1/epsilon to arbitrarily approach the optimum with error epsilon. Inspiring by this proposed (1 - epsilon)-approximation algorithm, we present a heuristic algorithm to solve the general case by balancing the efficiency and computation complexity well.

关键词： UAV smarm energy-efficient deployment wireless coverage no-fly-zone approximation algorithm

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High-Resolution Programmable Scattering for wireless coverage Enhancement: An Indoor Field Trial Campaign

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IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION 2023年第1期71卷 518-530页

作者： Rains, James Kazim, Jalil Ur Rehman Tukmanov, Anvar Cui, Tie Jun Zhang, Lei Abbasi, Qammer H. Imran, Muhammad Ali Univ Glasgow James Watt Sch Engn Glasgow G12 8QQ Scotland BT Labs Ipswich IP5 3RE England Southeast Univ Sch Informat Sci & Engn Nanjing 211189 Peoples R China

This article presents a multibit reconfigurable intelligent surface (RIS) with a high phase resolution, capable of beam-steering in the azimuthal plane at sub-6 GHz. Field trials in realistic indoor deployments have been carried out, with coverage enhancement performance ascertained for three common wireless communication scenarios. Namely, serving users in an open lobby with mixed line-of-sight (LoS) and nonline-of-sight (NLoS) conditions, communication via a junction between long corridors, and a multifloor scenario with propagation via windows. This work explores the potential for RIS deployment to mitigate NLoS effects in indoor wireless communications. In a single transmitter (Tx), single receiver (Rx) NLoS link, received power improvement of as much as 40 dB is shown to be achievable by suitable placement of an RIS, with an instantaneous bandwidth of at least 100 MHz possible over a 3-4.5 GHz range. In addition, the effects of phase resolution on the optimal power reception for the multibit RIS have been experimentally verified, with a 2.65 dB improvement compared with a 1 bit case.

关键词： Metasurfaces wireless communication Reflection PIN photodiodes Receivers Millimeter wave communication Computer architecture Intelligent reflecting surfaces programmable metasurfaces reconfigurable intelligent surfaces (RISs) smart radio environments wireless coverage

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A comprehensive study of optimization algorithm for wireless coverage in indoor area

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OPTIMIZATION LETTERS 2014年第1期8卷 145-157页

作者： Reza, Ahmed Wasif Dimyati, Kaharudin Noordin, Kamarul Ariffin Kausar, A. S. M. Zahid Sarker, Md. Sumon Univ Malaya Fac Engn Dept Elect Engn Kuala Lumpur 57000 Malaysia Univ Pertahanan Nas Malaysia Fac Engn Kuala Lumpur 57000 Malaysia

coverage optimization using minimum number of transmitters is critical to service providers and vendors that need to control the coverage as well as the huge costs involved. In this regards, an existing coverage algorithm for determining the minimum number of transmitting antennas as well as their appropriate locations to provide the optimized wireless coverage for indoor environment is studied in this paper. The algorithm uses ray-tracing to predict the signal distribution from the transmitter to the sampling points (receivers) and genetic algorithm to determine the minimum number of transmitters and their corresponding locations to achieve the optimum wireless coverage. The complexity and performance of the algorithm are also analyzed and it is found that it has exponentially increasing complexity of and the change of computation time is greater with small change of the number of receiving points. Moreover, under the multi-transmitter scenario (real case), the accuracy achieved by fading, coverage ability, and signal to noise ratio is in the range of 96-99 %.

关键词： Optimization wireless coverage Ray-tracing Genetic algorithm

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Fast Deployment of UAV Networks for Optimal wireless coverage

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2019年第3期18卷 588-601页

作者： Zhang, Xiao Duan, Lingjie Singapore Univ Technol & Design Engn Syst & Design Pillar Singapore 487372 Singapore

Unmanned Aerial Vehicle (UAV) networks have emerged as a promising technique to rapidly provide wireless coverage to a geographical area, where a flying UAV can be fast deployed to serve as cell site. Existing work on UAV-enabled wireless networks overlook the fast UAV deployment for wireless coverage, and such deployment problems have only been studied recently in sensor networks. Unlike sensors, UAVs should be deployed to the air and they are generally different in flying speed, operating altitude and wireless coverage radius. By considering such UAV heterogeneity to cover the whole target area, this paper studies two fast UAV deployment problems: one is to minimize the maximum deployment delay among all UAVs (min-max) for fairness consideration, and the other is to minimize the total deployment delay (min-sum) for efficiency consideration. We prove both min-max and min-sum problems are NP-complete in general. When dispatching UAVs from the same location, we present an optimal algorithm of low computational complexity O(n(2)) for the min-max problem. When UAVs are dispatched from different locations, we propose to preserve their location order during deployment and successfully design a fully polynomial time approximation scheme (FPTAS) of computation complexity O(n(2)log 1/epsilon) to arbitrarily approach the global optimum with relative error epsilon. The min-sum problem is more challenging. When UAVs are dispatched from the same initial location, we present an approximation algorithm of linear time. As for the general case, we further reformulate it as a dynamic program and propose a pseudo polynomial-time algorithm to solve it optimally.

关键词： Unmanned aerial vehicle networks wireless coverage fast deployment approximation algorithm

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Power-Efficient Deployment of a UAV for Emergency Indoor wireless coverage

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IEEE ACCESS 2018年 6卷 73200-73209页

作者： Cui, Jian Shakhatreh, Hazim Hu, Bo Chen, Shanzhi Wang, Chuanan Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China Yarmouk Univ Hijjawi Fac Engn Technol Dept Telecommun Engn Irbid 21163 Jordan China Acad Telecommun Technol State Key Lab Wireless Mobile Commun Beijing Peoples R China

In this paper, the problem of optimal placement of a single unmanned aerial vehicle (UAV) is studied, where the objective is to minimize the total transmit power required to provide wireless coverage for indoor users. Two cases of practical interest are considered, and efficient solutions to the formulated problem under these cases are presented. In the first case, the minimum transmit power required to cover the indoor users based on the location that has the maximum path loss inside the building is studied. We derive a functional relationship between the placement of the UAV and the dimensions of the building. In the second case, we assume that the locations of indoor users are randomly distributed inside the building. We propose to use an iterative algorithm and an exhaustive algorithm to optimize the placement of the UAV. We show that the minimum transmit power in the second case is much smaller than the transmit power in the first case. However, the equipment cost in the second case is relatively high. We validate the analysis by simulations and demonstrate the effectiveness of the proposed algorithms under different cases.

关键词： UAV outdoor-to-indoor path loss model power-efficient 3D placement wireless coverage

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High Reliability wireless coverage Technology Solution to Rail Transit Train-ground Communication

High Reliability Wireless Coverage Technology Solution to Ra...

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International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI)

作者： Xia, Xianpeng Liu, Jing Li, Haiyu Dong, Honghui Gao, Yifan Wu, Mingchao Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China

ISBN: (纸本)9783038350125

With the development of science and technology and urbanization process in depth, rail transit plays a more and more important role in the city. Train-ground communication is an important part of the safe operation of the rail transit trains. According to the traits of wireless train-ground communication, this paper proposes a high reliability wireless coverage technology solution to rail transit communication. Then this paper introduces the implementation process of the solution and verifies the wireless coverage range in this solution.

关键词： Rail Transit Train-ground Communication wireless coverage High Reliability

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The Resolution for wireless coverage of Important Activity Regions 3rd

The Resolution for Wireless Coverage of Important Activity R...

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3rd International Conference on Communications, Signal Processing, and Systems (CSPS)

作者： Dong, Fei Fei Wang, Xin Chen Chengdu Monitoring Stn State Radio Regulat China Chengdu 610000 Peoples R China Fujian Monitoring Stn State Radio Regulat China Xiamen 361000 Peoples R China

ISBN: (纸本)9783319089911;9783319089904

Teletraffic demand in important activity regions is high, thus congestion shappen frequently. So how to meet the wireless communication demands of these places become a major concern of operator. In this paper, we have explored this problem by careful analysis of business statistics, business model building and total demand prediction. Relevant radio network construction scale and need were then introduced. Finally, we designed the corresponding three-dimension network scheme.

关键词： Important activity regions wireless coverage Macro base

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Efficient Deployment of UAVs for Maximum wireless coverage using Genetic Algorithm 39

Efficient Deployment of UAVs for Maximum Wireless Coverage u...

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IEEE 39th Sarnoff Symposium

作者： Liu, Guanxiong Shakhatreh, Hazim Khreishah, Abdallah Guo, Xiwang Ansari, Nirwan New Jersey Inst Technol Dept Elect & Comp Engn Newark NJ 07102 USA Liaoning Shihua Univ Comp & Commun Engn Coll Fushun Peoples R China

ISBN: (纸本)9781538661543

Unmanned aerial vehicles (UAVs) are now widely used as backup base stations for the areas which lack of wireless/cellular access. Since UAV does not depend on fundamental infrastructure, it plays an important role in emergency response and search & rescue. In the prior studies of the UAV-aided wireless coverage extension problem, it typically considers an outdoor scenario with Air-to-Ground path loss model. In this paper, we specify the problem with the use case of UAV-aided emergency rescue. In the new problem formulation, both indoor and outdoor path loss models are considered and the goal is to find an efficient deployment of minimum number of UAVs that guarantees the connection requirements. To solve this problem, we propose a heuristic approach which contains genetic based algorithm to arrange UAVs. During evaluation, our approach is compared with the brute-force search on randomly simulated emergencies. The results show that our approach could find efficient solution with much lower computation.

关键词： UAV wireless coverage genetic algorithm

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