Title :
Downlink MIMO with Frequency-Domain Packet Scheduling for 3GPP LTE
Author :
Lee, Suk-Bok ; Choudhury, Sayantan ; Khoshnevis, Ahmad ; Xu, Shugong ; Lu, Songwu
Author_Institution :
Comput. Sci. Dept., UCLA, Los Angeles, CA
Abstract :
This paper addresses the problem of frequency domain packet scheduling (FDPS) incorporating spatial division multiplexing (SDM) multiple input multiple output (MIMO) techniques on the 3GPP long term evolution (LTE) downlink. We impose the LTE MIMO constraint of selecting only one MIMO mode (spatial multiplexing or transmit diversity) per user per transmission time interval (TTI). First, we address the optimal MIMO mode selection (multiplexing or diversity) per user in each TTI in order to maximize the proportional fair (PF) criterion extended to frequency and spatial domains. We prove that the SU-MIMO (single-user MIMO) FDPS problem under the LTE requirement is NP-hard and therefore, we develop two approximation algorithms (one with full channel feedback and the other with partial channel feedback) with provable performance bounds. Based on 3GPP LTE system model simulations, the approximation algorithm with partial channel feedback is shown to have comparable performance to the one with full channel feedback, while significantly reducing the channel feedback overhead by nearly 50%.
Keywords :
3G mobile communication; MIMO communication; OFDM modulation; computational complexity; diversity reception; feedback; frequency division multiple access; radio links; scheduling; space division multiplexing; wireless channels; 3GPP long term evolution downlink; FDPS problem; LTE MIMO downlink; NP-hard problem; OFDMA; SDM; approximation algorithm; channel feedback; frequency-domain packet scheduling; multiple input multiple output technique; optimal single-user-MIMO mode selection; performance bound; proportional fair criterion; spatial division multiplexing; transmit diversity; Approximation algorithms; Bandwidth; Base stations; Downlink; Feedback; Frequency diversity; Frequency domain analysis; Laboratories; MIMO; Scheduling algorithm;
Conference_Titel :
INFOCOM 2009, IEEE
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-1-4244-3512-8
Electronic_ISBN :
0743-166X
DOI :
10.1109/INFCOM.2009.5062041