Scheme for Joint Optimization of MAP Overhead and System Throughput in Message Based MIMO-OFDM Systems

Author(s):  
Chung Ha Koh ◽  
Kyung Ho Sohn ◽  
Ji Wan Song ◽  
Young Yong Kim
2011 ◽  
Vol 20 (03) ◽  
pp. 501-513 ◽  
Author(s):  
LEI XU ◽  
DAZHUAN XU ◽  
XIAOFEI ZHANG ◽  
SHUFANG XU ◽  
JUNBO WANG ◽  
...  

Tailored for the best effort service, the present paper deals with dynamic allocation of subcarriers, rate and power resources based on channel state information (CSI) for multiuser MIMO-OFDM systems with trellis code modulation (TCM). Users rely on adaptive modulation and power modes that they select in accordance with the finite-rate feedback (FRF) they receive from the base station (BS). The BS uses CSI to maximize a generic concave utility of average rates while adhering to power constraints imposed on every user. We utilize a stochastic approximation primal-dual algorithm for on-line scheduling and resource allocation. The resultant optimum resource allocation depends on the current channel realization and optimally calculates dual prices. The simulation results show that the system throughput of proposed algorithm is not only good but also can effectively reduce the feedback overhead and the adoption of TCM can improve the system throughput greatly comparing to uncoded system.


2020 ◽  
Vol 19 (1) ◽  
pp. 011
Author(s):  
Aleksandra Panajotović ◽  
Daniela Milović

In this paper, we research proportional fairness of the optimal pair-wise semi-orthogonal user selection (SUS) algorithm used in the MU-MIMO-OFDM system compliant with IEEE 802.11ac standard. Zero-forcing beamforming (ZFBF) is applied in the system as a precoding technique in order to cancel user interferences. Two different scenarios are considered: homogeneous and heterogeneous. Beside the proportional fairness, a throughput performance of the MU-MIMO-OFDM system is analyzed for both scenarios too. Simulation results show that the optimal pair-wise SUS algorithm is an excellent solution to realize the trade-off between the proportional fairness among users and the achieved system throughput.


2013 ◽  
Vol E96.B (3) ◽  
pp. 830-835 ◽  
Author(s):  
Wen ZHONG ◽  
Anan LU ◽  
Xiqi GAO
Keyword(s):  

2014 ◽  
Vol 35 (3) ◽  
pp. 665-670 ◽  
Author(s):  
Zhi-bin Xie ◽  
Tong-si Xue ◽  
Yu-bo Tian ◽  
Wei-chen Zou ◽  
Qing-hua Liu ◽  
...  

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