An introduction to convex optimization for communications and signal processing

ZQ Luo, W Yu - IEEE Journal on selected areas in …, 2006 - ieeexplore.ieee.org
Convex optimization methods are widely used in the design and analysis of communication
systems and signal processing algorithms. This tutorial surveys some of recent progress in …

Achievable rate maximization by passive intelligent mirrors

C Huang, A Zappone, M Debbah… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This paper investigates the use of a Passive Intelligent Mirrors (PIM) to operate a multi-user
MISO downlink communication. The transmit powers and the mirror reflection coefficients …

Massive MIMO performance evaluation based on measured propagation data

X Gao, O Edfors, F Rusek… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Massive MIMO, also known as very-large MIMO or large-scale antenna systems, is a new
technique that potentially can offer large network capacities in multi-user scenarios. With a …

[图书][B] Fundamentals of wireless communication

D Tse, P Viswanath - 2005 - books.google.com
The past decade has seen many advances in physical layer wireless communication theory
and their implementation in wireless systems. This textbook takes a unified view of the …

[图书][B] Wireless communications

A Goldsmith - 2005 - books.google.com
Wireless technology is a truly revolutionary paradigm shift, enabling multimedia
communications between people and devices from any location. It also underpins exciting …

Massive MIMO in real propagation environments: Do all antennas contribute equally?

X Gao, O Edfors, F Tufvesson… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Massive MIMO can greatly increase both spectral and transmit-energy efficiency. This is
achieved by allowing the number of antennas and RF chains to grow very large. However …

Capacity limits of MIMO channels

A Goldsmith, SA Jafar, N Jindal… - IEEE Journal on …, 2003 - ieeexplore.ieee.org
We provide an overview of the extensive results on the Shannon capacity of single-user and
multiuser multiple-input multiple-output (MIMO) channels. Although enormous capacity …

Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design

SS Christensen, R Agarwal… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
This paper studies linear transmit filter design for Weighted Sum-Rate (WSR) maximization
in the Multiple Input Multiple Output Broadcast Channel (MIMO-BC). The problem of finding …

On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming

T Yoo, A Goldsmith - IEEE Journal on selected areas in …, 2006 - ieeexplore.ieee.org
Although the capacity of multiple-input/multiple-output (MIMO) broadcast channels (BCs)
can be achieved by dirty paper coding (DPC), it is difficult to implement in practical systems …

[HTML][HTML] A survey on non-orthogonal multiple access: From the perspective of spectral efficiency and energy efficiency

HV Nguyen, HM Kim, GM Kang, KH Nguyen, VP Bui… - Energies, 2020 - mdpi.com
Non-orthogonal multiple access (NOMA) is a promising technology for next-generation
wireless networks with emerging demands on low latency, high throughput, and massive …