Near-field communications: A tutorial review
Extremely large-scale antenna arrays, tremendously high frequencies, and new types of
antennas are three clear trends in multi-antenna technology for supporting the sixth …
antennas are three clear trends in multi-antenna technology for supporting the sixth …
A survey of recent advances in optimization methods for wireless communications
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …
solution tool for the design of wireless communications systems. While optimization has …
Fractional programming for communication systems—Part I: Power control and beamforming
Fractional programming (FP) refers to a family of optimization problems that involve ratio
term (s). This two-part paper explores the use of FP in the design and optimization of …
term (s). This two-part paper explores the use of FP in the design and optimization of …
An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel
Consider the multiple-input multiple-output (MIMO) interfering broadcast channel whereby
multiple base stations in a cellular network simultaneously transmit signals to a group of …
multiple base stations in a cellular network simultaneously transmit signals to a group of …
Rate-splitting multiple access for downlink communication systems: Bridging, generalizing, and outperforming SDMA and NOMA
Abstract Space-division multiple access (SDMA) utilizes linear precoding to separate users
in the spatial domain and relies on fully treating any residual multi-user interference as …
in the spatial domain and relies on fully treating any residual multi-user interference as …
Is NOMA efficient in multi-antenna networks? A critical look at next generation multiple access techniques
In the past few years, a large body of literature has been created on downlink Non-
Orthogonal Multiple Access (NOMA), employing superposition coding and Successive …
Orthogonal Multiple Access (NOMA), employing superposition coding and Successive …
[BOOK][B] Foundations of MIMO communication
RW Heath Jr, A Lozano - 2018 - books.google.com
Understand the fundamentals of wireless and MIMO communication with this accessible and
comprehensive text. Viewing the subject through an information theory lens, but also …
comprehensive text. Viewing the subject through an information theory lens, but also …
Fractional programming for communication systems—Part II: Uplink scheduling via matching
This two-part paper develops novel methodologies for using fractional programming (FP)
techniques to design and optimize communication systems. Part I of this paper proposes a …
techniques to design and optimize communication systems. Part I of this paper proposes a …
Fast beamforming design via deep learning
H Huang, Y Peng, J Yang, W **a… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Beamforming is considered as one of the most important techniques for designing advanced
multiple-input and multiple-output (MIMO) systems. Among existing design criterions, sum …
multiple-input and multiple-output (MIMO) systems. Among existing design criterions, sum …
A deep learning framework for optimization of MISO downlink beamforming
Beamforming is an effective means to improve the quality of the received signals in multiuser
multiple-input-single-output (MISO) systems. Traditionally, finding the optimal beamforming …
multiple-input-single-output (MISO) systems. Traditionally, finding the optimal beamforming …