Paper Info
Title
Resource Allocation for Power Minimization in the Downlink of THP-Based Spatial Multiplexing MIMO-OFDMA Systems
Abstract
In this paper, we deal with resource allocation in the downlink of spatial multiplexing multiple-input-multiple-output (MIMO)-orthogonal frequency-division multiple-access (OFDMA) systems. In particular, we concentrate on the problem of jointly optimizing the transmit and receive processing matrices, the channel assignment, and the power allocation with the objective of minimizing the total power consumption while satisfying different quality-of-service (QoS) requirements. A layered architecture is used in which users are first partitioned in different groups on the basis of their channel quality, and then channel assignment and transceiver design are sequentially addressed starting from the group of users with most adverse channel conditions. The multiuser interference among users belonging to different groups is removed at the base station (BS) using a Tomlinson-Harashima precoder operating at user level. Numerical results are used to highlight the effectiveness of the proposed solution and to make comparisons with existing alternatives.
Year
DOI
Venue
2014
10.1109/TVT.2014.2320587
IEEE T. Vehicular Technology
Keywords
DocType
Volume
tomlinson-harashima precoder,multiuser interference,transceiver design,mimo-ofdma systems,multiple-input???multiple-output (mimo),ofdm modulation,processing matrices,precoding,channel assignment,linear programming (lp),quality of service,power minimization,thp-based spatial multiplexing,mimo communication,space division multiplexing,resource allocation,frequency division multiple access,qos,radio transceivers,power allocation,tomlinson???harashima precoding (thp),orthogonal frequency-division multiple-access systems,multiple-input-multiple-output systems,channel quality,channel allocation,vectors,resource management,interference,indexes,optimization
Journal
64
Issue
ISSN
Citations 
1
0018-9545
8
PageRank 
References 
Authors
0.48
17
3
Name
Order
Citations
PageRank
Marco Moretti113816.56
L. Sanguinetti2137879.34
Xiaodong Wang33958310.41