A Novel Genetic Algorithm for Adaptive Resource Allocation in MIMO-OFDM Systems with Proportional Rate Constraint

2010 ◽  
Vol 61 (1) ◽  
pp. 113-128 ◽  
Author(s):  
Nitin Sharma ◽  
K. R. Anupama
2014 ◽  
Vol 80 (1) ◽  
pp. 51-69 ◽  
Author(s):  
Najib A. Odhah ◽  
Emad S. Hassan ◽  
Mohamad Abdelnaby ◽  
Waleed E. Al-Hanafy ◽  
Moawad I. Dessouky ◽  
...  

2014 ◽  
Vol 80 (1) ◽  
pp. 71-72 ◽  
Author(s):  
Najib A. Odhah ◽  
Emad S. Hassan ◽  
Mohamad Abd-Elnaby ◽  
Waleed E. Al-Hanafy ◽  
Moawad I. Dessouky ◽  
...  

Author(s):  
SHANMUGAVEL G ◽  
PRELLY K.E

Multiple antenna orthogonal frequency division multiple access (OFDMA) is a promising technique for the high downlink capacity in the next generation wireless systems, in which adaptive resource allocation would be an important research issue that can significantly improve the performance with guaranteed QoS for users. Moreover, most of the current source allocation algorithms are limited to the unicast system. In this paper, dynamic resource allocation is studied for multiple antenna OFDMA based systems which provide multicast service. The performance of multicast system is simulated and compared with that of the unicast system. Numerical results also show that the proposed algorithms improve the system capacity significantly compared with the conventional scheme.


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