Improved Spectral Efficiency With Acceptable Service Provision in Multiuser MIMO Scenarios

• Published in: IEEE transactions on vehicular technology Vol. 63; no. 6; pp. 2697 - 2711
• Main Authors: Lima, Francisco Rafael Marques, Ferreira Maciel, Tarcisio, Freitas, Walter Cruz, Porto Cavalcanti, Francisco Rodrigo
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.07.2014; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acceptability; Algorithms; Applied sciences; Channels; Disturbances. Regulation. Protection; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Integers; Interference; Mathematical models; MIMO; Mobile communication; Mobile computing; multi-user MIMO; Multiaccess communication; multiservice; OFDM; Operation, maintenance, reliability; Operation. Load control. Reliability; Optimization; Power networks and lines; Quality of service; rate maximization; Resource assignment; Spectra; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Terminals; Transmission and modulation (techniques and equipments); rate maximization; quality of service (QoS); resource assignment; Multiservice; multiuser multiple-input¿multiple-output (MU MIMO); Performance evaluation; Resource allocation; Optimization method; Information rate; Power system stability; Downlink; MIMO system; Multiple access; Outage; multiuser multiple-input-multiple-output (MU MIMO); Linear programming; Algorithm; Computational complexity; Information transmission; Standards; Integer programming; Space division multiple access; Optimal solution; Metric; Resource management; Service quality; Comparative study
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2013.2293333

In this paper, we study the downlink resource assignment problem of maximizing the total data rate subject to minimum satisfaction guarantees in multiservice scenarios assuming the use of multiuser (MU) multiple-input-multiple-output (MIMO) techniques. With the use of MU MIMO techniques, the same frequency resource can be shared by different terminals at the same time by assigning different spatial channels to each terminal. Different from single-user (SU) access per frequency resource where the resource assignment problem consists of searching for the best association between frequency resources and terminals, with MU access per resource, we aim at finding which space-division multiple-access (SDMA) group should be associated with each frequency resource. The first contribution of this paper is the formal presentation of this generalized problem as an optimization problem. Then, after some mathematical manipulations, we managed to convert this problem from a nonlinear integer to an integer linear problem (ILP) that can be optimally solved by standard techniques instead of resorting to brute-force methods. Motivated by the high computational complexity of the optimal solution, we propose a low-complexity algorithm. By analyzing outage rate and total data rate performance metrics, we show that the proposed solution presents a good performance-complexity tradeoff compared with the method for obtaining the optimal solution.