Transceiver optimization for multiuser MIMO systems

By Semih Serbetli, Aylin Yener. IEEE Transactions on Signal Processing, 2004

356 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/dfcd3aebceb3849df0a5fd1ab998bb70427c3557

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Yi Jiang
2. D. P. Palomar
3. P. Vaidyanathan
4. Lajos Hanzo
5. Chun-Yang Chen
6. Shaoshi Yang
7. Robert W. Heath
8. Noureddine El Karoui

In Electrical and Electronic Engineering

1. Yi Jiang
2. Lajos Hanzo
3. D. P. Palomar
4. Shaoshi Yang
5. P. Vaidyanathan
6. Chun-Yang Chen
7. Rui Zhang
8. Robert W. Heath

Citations in the corpus

• Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, background): “A third example is the uplink of multiuser multiple-antenna systems [182], [183], where the inputs may be multiple transmitted symbols belonging to a cluster of geographically distributed single-antenna mobile stations (MSs), and the outputs may be the signals received at the serving base station (B”
• MIMO Transceiver Design via Majorization Theory (2007, background): “It is worth mentioning that a pragmatic approach to deal with multiuser systems consists of employing single-user designs for the users of the network in an iterative manner [9] or iteratively optimizing the receivers and the transmitters [138], but a global optimum may not be reached.”
• MIMO Radar Waveform Optimization With Prior Information of the Extended Target and Clutter (2009, methodology): “Similar technique has been used in [32] to solve an MSE minimization problem in multiuser transceivers.”