Compressive Near/Far-Field Channel Estimation For MmWave/THz Systems with Extremely Large Antenna Arrays

被引：0
作者：
Wang, Hongwei [1 ]
Fang, Jun [1 ]
Wang, Jilin [1 ]
机构：
[1] Univ Elect Sci & Technol China, Chengdu 611731, Peoples R China
来源：
IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM | 2023年
基金：
美国国家科学基金会;
关键词：
Extremely large-scale antenna; near/far field; block sparsity; channel estimation; millimeter wave/Terahertz;
D O I：
10.1109/GLOBECOM54140.2023.10437620
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we consider channel estimation for millimeter wave/Terahertz (mmWave/THz) communication systems equipped with extremely large antenna arrays. As the number of antennas increases, users may locate either in the near-field region or in the far-field region, resulting in a hybrid near/far-field channel model. By analyzing the properties of coherence of two near/far-field steering vectors, we construct an orthogonal dictionary and prove that the hybrid near/farfield channel vector has a block-sparse representation on this dictionary. Based on this observation, hybrid near/far field channel estimation for mmWave/THz systems with extremely largescale antennas can be formulated as a block-sparsity compressed sensing problem, which can be solved by many block-sparse signal recovery algorithms such as the B-SBL and PC-SBL. Simulation results reveal that our proposed method can achieve a performance improvement over the existing polar-domain based solution with a substantial reduction of training overhead.
引用
收藏
页码：2354 / 2359
页数：6
相关论文
共 11 条
[1]   Millimeter Wave Channel Modeling and Cellular Capacity Evaluation [J].
Akdeniz, Mustafa Riza ;
Liu, Yuanpeng ;
Samimi, Mathew K. ;
Sun, Shu ;
Rangan, Sundeep ;
Rappaport, Theodore S. ;
Erkip, Elza .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2014, 32 (06) :1164-1179
[2]   Several Key Technologies for 6G: Challenges and Opportunities [J].
Ji B. ;
Han Y. ;
Liu S. ;
Tao F. ;
Zhang G. ;
Fu Z. ;
Li C. .
1600, Institute of Electrical and Electronics Engineers Inc. (05) :44-51
[3]   Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field? [J].
Cui, Mingyao ;
Dai, Linglong .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (04) :2663-2677
[4]   Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals [J].
Fang, Jun ;
Shen, Yanning ;
Li, Hongbin ;
Wang, Pu .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2015, 63 (02) :360-372
[5]   An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems [J].
Heath, Robert W., Jr. ;
Gonzalez-Prelcic, Nuria ;
Rangan, Sundeep ;
Roh, Wonil ;
Sayeed, Akbar M. .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2016, 10 (03) :436-453
[6]   Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget [J].
Hemadeh, Ibrahim A. ;
Satyanarayana, Katla ;
El-Hajjar, Mohammed ;
Hanzo, Lajos .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2018, 20 (02) :870-913
[7]   Fraunhofer and Fresnel Distances [J].
Selvan, Krishnasamy T. ;
Janaswamy, Ramakrishna .
IEEE ANTENNAS AND PROPAGATION MAGAZINE, 2017, 59 (04) :12-15
[8]   Compressed Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems [J].
Wang, Peilan ;
Fang, Jun ;
Duan, Huiping ;
Li, Hongbin .
IEEE SIGNAL PROCESSING LETTERS, 2020, 27 :905-909
[9]   Channel Estimation for Extremely Large-Scale Massive MIMO: Far-Field, Near-Field, or Hybrid-Field? [J].
Wei, Xiuhong ;
Dai, Linglong .
IEEE COMMUNICATIONS LETTERS, 2022, 26 (01) :177-181
[10]   Potential key technologies for 6G mobile communications [J].
Yuan, Yifei ;
Zhao, Yajun ;
Zong, Baiqing ;
Parolari, Sergio .
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (08)
12