Tong, Mingfei; Huang, Xiaojing; Zhang, J. Andrew; Hanzo, Lajos
Adaptive FTN Signaling Over Rapidly-Fading Channels Journal Article
In: IEEE Transactions on Communications, vol. 73, no. 9, pp. 7166–7178, 2025, ISSN: 1558-0857.
Abstract | Links | BibTeX | Tags: ATPC, Complexity theory, delay-Doppler domain, diversity order, diversity reception, Doppler effect, Frequency diversity, Frequency modulation, FTN signaling, inter-symbol interference, Interference cancellation, Multipath channels, multipath fast-fading channel, OFDM, Symbols, Time-frequency analysis
@article{tong_adaptive_2025,
title = {Adaptive FTN Signaling Over Rapidly-Fading Channels},
author = {Mingfei Tong and Xiaojing Huang and J. Andrew Zhang and Lajos Hanzo},
url = {https://ieeexplore.ieee.org/document/10902515},
doi = {10.1109/TCOMM.2025.3545655},
issn = {1558-0857},
year = {2025},
date = {2025-09-01},
urldate = {2025-10-08},
journal = {IEEE Transactions on Communications},
volume = {73},
number = {9},
pages = {7166–7178},
abstract = {The research of faster-than-Nyquist (FTN) signaling has reached a state of maturity for considering practical multipath fading channels, rather than idealized additive white Gaussian noise channels only. To overcome fast-fading multipath propagations, conventional FTN systems tend to rely on channel coding techniques for cleaning up the residual errors, rather than harnessing Doppler effect mitigation. To circumvent this limitation, we propose an adaptive transmit precoding (ATPC) method associated with FTN signaling for applications in fast-fading multipath channels. Upon leveraging real-time channel state information fed back by the receiver, ATPC updates the modulation matrix to improve resilience against Doppler frequency shifts. To mitigate the inter-block interference and multipath effect, a cyclic prefix is inserted at the beginning of each transmission frame. In addition, we employ decision-directed successive interference cancellation for alleviating the inter-symbol interference stemming from FTN signaling and multipath effects. We also analyze the theoretical bit error rate (BER) performance and a pair of closed-form BER expressions are derived for extreme channel conditions, i.e., sufficiently large number of paths and sufficiently large Doppler frequency shift. Simulation results verify the effectiveness of the proposed ATPC method and demonstrate our performance improvements over conventional schemes.},
keywords = {ATPC, Complexity theory, delay-Doppler domain, diversity order, diversity reception, Doppler effect, Frequency diversity, Frequency modulation, FTN signaling, inter-symbol interference, Interference cancellation, Multipath channels, multipath fast-fading channel, OFDM, Symbols, Time-frequency analysis},
pubstate = {published},
tppubtype = {article}
}
Rai, Sudhakar; Sharma, Ekant; Jagannatham, Aditya K.; Hanzo, Lajos
The Spectral Versus Energy Efficiency Trade-Off in Dynamic User Clustering Aided mmWave NOMA Networks Journal Article
In: IEEE Transactions on Communications, vol. 73, no. 6, pp. 4503–4519, 2025, ISSN: 1558-0857.
Abstract | Links | BibTeX | Tags: Array signal processing, Clustering algorithms, Energy Efficiency, fractional programming, Heuristic algorithms, Hybrid power systems, hybrid precoding, Interference cancellation, Millimeter wave communication, MIMO, mmWave, NOMA, Optimization, Resource management, Spectral efficiency, user clustering
@article{rai_spectral_2025,
title = {The Spectral Versus Energy Efficiency Trade-Off in Dynamic User Clustering Aided mmWave NOMA Networks},
author = {Sudhakar Rai and Ekant Sharma and Aditya K. Jagannatham and Lajos Hanzo},
url = {https://ieeexplore.ieee.org/document/10769478},
doi = {10.1109/TCOMM.2024.3506920},
issn = {1558-0857},
year = {2025},
date = {2025-06-01},
urldate = {2025-10-08},
journal = {IEEE Transactions on Communications},
volume = {73},
number = {6},
pages = {4503–4519},
abstract = {The spectral efficiency (SE) and global energy efficiency (GEE) trade-off encountered in the design of millimeter-wave (mmWave)-based massive multi-input multi-output (MIMO) non-orthogonal multiple access (NOMA) networks is investigated with a particular focus on user clustering. By exploiting the similarity among user channels a pair of spectral and energy-efficient user clustering algorithms are proposed for dynamically selecting both the number of clusters and the number of users in each cluster. Subsequently, a joint analog precoder/combiner and user clustering technique is developed, followed by a multi-objective optimization (MOO) framework for flexibly balancing the GEE and SE objectives in a mmWave NOMA network subject to specific constraints. The MOO objective is initially transformed to a weighted sum rate maximization problem, followed by a quadratic-transform (QT)-based approach conceived for maximizing the non-convex objective by approximating it as a concave-convex function. Our simulation results demonstrate that the user clustering techniques designed attain a 85% performance gain over random clustering technique and demonstrating the benefits of the algorithm designed for mmWave NOMA networks.},
keywords = {Array signal processing, Clustering algorithms, Energy Efficiency, fractional programming, Heuristic algorithms, Hybrid power systems, hybrid precoding, Interference cancellation, Millimeter wave communication, MIMO, mmWave, NOMA, Optimization, Resource management, Spectral efficiency, user clustering},
pubstate = {published},
tppubtype = {article}
}
Mohammadi, Mohammadali; Mobini, Zahra; Ngo, Hien Quoc; Matthaiou, Michail
Ten Years of Research Advances in Full-Duplex Massive MIMO Journal Article
In: IEEE Transactions on Communications, vol. 73, no. 3, pp. 1756–1786, 2025, ISSN: 1558-0857.
Abstract | Links | BibTeX | Tags: Cell-free massive multiple-input multiple-output (CF-mMIMO), energy efficiency (EE), Full-duplex system, in-band full-duplex (IBFD), Interference cancellation, Massive MIMO, network-assisted IBFD CF-mMIMO (NAFD CF-mMIMO), self-interference (SI), spectral efficiency (SE), Surveys, Transceivers, Wireless networks, Wireless sensor networks
@article{mohammadi_ten_2025,
title = {Ten Years of Research Advances in Full-Duplex Massive MIMO},
author = {Mohammadali Mohammadi and Zahra Mobini and Hien Quoc Ngo and Michail Matthaiou},
url = {https://ieeexplore.ieee.org/document/10684260},
doi = {10.1109/TCOMM.2024.3464414},
issn = {1558-0857},
year = {2025},
date = {2025-03-01},
urldate = {2025-10-08},
journal = {IEEE Transactions on Communications},
volume = {73},
number = {3},
pages = {1756–1786},
abstract = {We present an overview of ongoing research endeavors focused on in-band full-duplex (IBFD) massive multiple-input multiple-output (MIMO) systems and their applications. In response to the unprecedented demands for mobile traffic in concurrent and upcoming wireless networks, a paradigm shift from conventional cellular networks to distributed communication systems becomes imperative. Cell-free massive MIMO (CF-mMIMO) emerges as a practical and scalable implementation of distributed/network MIMO systems, serving as a crucial physical layer technology for the advancement of next-generation wireless networks. This architecture inherits benefits from co-located massive MIMO and distributed systems and provides the flexibility for integration with the IBFD technology. We delineate the evolutionary trajectory of cellular networks, transitioning from conventional half-duplex multi-user MIMO networks to IBFD CF-mMIMO. The discussion extends further to the emerging paradigm of network-assisted IBFD CF-mMIMO (NAFD CF-mMIMO), serving as an energy-efficient prototype for asymmetric uplink and downlink communication services. This novel approach finds applications in dual-functionality scenarios, including simultaneous wireless power and information transmission, wireless surveillance, and integrated sensing and communications. We highlight various current use case applications, discuss open challenges, and outline future research directions aimed at fully realizing the potential of NAFD CF-mMIMO systems to meet the evolving demands of future wireless networks.},
keywords = {Cell-free massive multiple-input multiple-output (CF-mMIMO), energy efficiency (EE), Full-duplex system, in-band full-duplex (IBFD), Interference cancellation, Massive MIMO, network-assisted IBFD CF-mMIMO (NAFD CF-mMIMO), self-interference (SI), spectral efficiency (SE), Surveys, Transceivers, Wireless networks, Wireless sensor networks},
pubstate = {published},
tppubtype = {article}
}