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In this paper we consider the problem of high accuracy localization of mobile nodes in a multipath-rich environment where sub-meter accuracies are required. We employ a peer to peer framework where the vehicles/nodes can get pairwise…

Information Theory · Computer Science 2010-11-30 Venkatesan Ekambaram , Kannan Ramchandran

Extremely large-scale multiple-input-multiple-output (XL-MIMO) with hybrid precoding is a promising technique to meet the high data rate requirements for future 6G communications. To realize efficient hybrid precoding, it is essential to…

Information Theory · Computer Science 2022-01-20 Mingyao Cui , Linglong Dai

Orthogonal delay-Doppler division multiplexing~(ODDM) modulation has recently been regarded as a promising technology to provide reliable communications in high-mobility situations. Accurate and low-complexity channel estimation is one of…

Signal Processing · Electrical Eng. & Systems 2025-07-29 Dezhi Wang , Chongwen Huang , Xiaojun Yuan , Sami Muhaidat , Lei Liu , Xiaoming Chen , Zhaoyang Zhang , Chau Yuen , Mérouane Debbah

The integration of satellite and terrestrial communication systems plays a vital role in the fifth-generation mobile communication system (5G) for the ubiquitous coverage, reliable service and flexible networking. Moreover, the millimeter…

Signal Processing · Electrical Eng. & Systems 2020-06-12 Lei Ma , Ke Guan , Dong Yan , Danping He , Nuno R. Leonor , Bo Ai , Junhyeong Kim

To meet the growing data traffic demand in future wireless systems, novel transmission architectures capable of adapting to complex propagation environments are required. Movable antenna (MA) systems have recently emerged as a promising…

Signal Processing · Electrical Eng. & Systems 2026-04-21 Xiaoyi Zhang , Amna Irshad , Emil Björnson

A fundamental task in wireless communication is Channel Estimation: Compute the channel parameters a signal undergoes while traveling from a transmitter to a receiver. In the case of delay-Doppler channel, a widely used method is the…

Information Theory · Computer Science 2015-03-20 Alexander Fish , Shamgar Gurevich , Ronny Hadani , Akbar Sayeed , Oded Schwartz

Millimeter-wave (mmWave) communication and network densification hold great promise for achieving high-rate communication in next-generation wireless networks. Cloud radio access network (CRAN), in which low-complexity remote radio heads…

Information Theory · Computer Science 2018-07-31 Reuben George Stephen , Rui Zhang

Acquiring channel knowledge is required by many applications. For instance, handover in cellular networks is mainly decided based on the knowledge of pathloss. In contrast to traditional statistical distance-determined models that might…

Signal Processing · Electrical Eng. & Systems 2026-05-19 Huiting Rao , Junyuan Wang , Huiling Zhu , Cheng-Xiang Wang

Mobile channel modeling has always been the core part for design, deployment and optimization of communication system, especially in 5G and beyond era. Deterministic channel modeling could precisely achieve mobile channel description,…

Signal Processing · Electrical Eng. & Systems 2023-01-30 Zhao Zhang , Danping He , Xiping Wang , Ke Guan , Zhangdui Zhong , Jianwu Dou

Extremely large-scale massive MIMO (XL-MIMO) is a promising technique for future 6G communications.However, existing far-field or near-field channel model mismatches the hybrid-field channel feature in the practical XL-MIMO…

Information Theory · Computer Science 2021-11-23 Xiuhong Wei , Linglong Dai

THz band is envisioned to be used in 6G systems to meet the ever-increasing demand for data rate. However, before an eventual system design and deployment can proceed, detailed channel sounding measurements are required to understand key…

In this paper, we develop a framework for a novel perceptive mobile/cellular network that integrates radar sensing function into the mobile communication network. We propose a unified system platform that enables downlink and uplink…

Networking and Internet Architecture · Computer Science 2019-01-18 Md. Lushanur Rahman , J. Andrew Zhang , Xiaojing Huang , Y. Jay Guo , Robert W. Heath

To decrease the training overhead and improve the channel estimation accuracy in uplink cloud radio access networks (C-RANs), a superimposed-segment training design is proposed. The core idea of the proposal is that each mobile station…

Information Theory · Computer Science 2015-06-23 Xinqian Xie , Mugen Peng , H. Vincent Poor

Hybrid beamforming via large antenna arrays has shown a great potential for increasing data rate in cellular networks by delivering multiple data streams simultaneously. In this paper, several beamforming design algorithms are proposed…

Information Theory · Computer Science 2018-02-06 Shahram Shahsavari , S. Amir Hosseini , Chris Ng , Elza Erkip

Angle-resolved channel sounding using antenna arrays or mechanically steered high-gain antennas is widely employed at millimeter-wave and terahertz bands. To extract antenna-independent large-scale channel parameters such as path loss,…

Signal Processing · Electrical Eng. & Systems 2026-02-03 Minseok Kim , Masato Yomoda

Channel charting has emerged as a powerful tool for user equipment localization and wireless environment sensing. Its efficacy lies in mapping high-dimensional channel data into low-dimensional features that preserve the relative…

Signal Processing · Electrical Eng. & Systems 2025-09-17 Ge Chen , Panqi Chen , Lei Cheng

Providing broadband connectivity to airborne systems using ground based cellular networks is a promising solution as it offers several advantages over satellite-based solutions. However, limited range of terrestrial base stations is a key…

Signal Processing · Electrical Eng. & Systems 2020-06-29 Haneya Naeem Qureshi , Ali Imran

Extremely large-scale antenna arrays (ELAAs) enable high spatial resolution and multiplexing, especially for user equipments (UEs) in the radiative near-field. To reduce hardware cost, modular ELAA architectures with distributed baseband…

Signal Processing · Electrical Eng. & Systems 2025-09-23 Özlem Tuğfe Demir , Emil Björnson

We present two reduced-rank channel estimators for large-scale multiple-input, multiple-output (MIMO) systems and analyze their mean square error (MSE) performance. Taking advantage of the channel's transform domain sparseness, the…

Information Theory · Computer Science 2016-09-09 Ko-Feng Chen , Yen-Cheng Liu , Yu T. Su

Holographic multiple-input multiple-output (MIMO) systems constitute a promising technology in support of next-generation wireless communications, thus paving the way for a smart programmable radio environment. However, despite its…

Information Theory · Computer Science 2024-05-28 Yuanbin Chen , Ying Wang , Zhaocheng Wang , Ping Zhang