Utility-based resource allocation in orthogonal frequency division multiple access networks

2010 ◽  
Vol 4 (12) ◽  
pp. 1463 ◽  
Author(s):  
M. Fathi ◽  
H. Taheri
Keyword(s):  
Resource Allocation ◽  
Multiple Access ◽  
Access Networks ◽  
Frequency Division

Resource Allocation Based on User Pairing and Subcarrier Matching for Downlink Non-Orthogonal Multiple Access Networks

2021 ◽  
Vol 8 (3) ◽  
pp. 679-689
Author(s):  
Zhixin Liu ◽  
Changjian Liang ◽  
Yazhou Yuan ◽  
Kit Yan Chan ◽  
Xinping Guan
Keyword(s):  
Resource Allocation ◽  
Multiple Access ◽  
Access Networks ◽  
User Pairing

Resource Allocation in Orthogonal Frequency Division Multiple Access-Long Term Evaluation: Neural Network

2019 ◽  
Vol 16 (12) ◽  
pp. 5026-5031
Author(s):  
Kethavath Narender ◽  
C. Puttamadappa
Keyword(s):  
Neural Network ◽  
Resource Allocation ◽  
Communication Systems ◽  
Multiple Access ◽  
Large Scale ◽  
Cuckoo Search ◽  
Base Station ◽  
Frequency Division ◽  
Term Evaluation

Symmetrical Frequency Division Multiple Access (OFDMA) is utilized in the higher rate Wireless Communication Systems (WCSs). In the correspondence framework, a fem to cell is a little cell in building Base Station (BS), which devours less power, short range, and works in a minimal effort. The fem to cell has little separation among sender and recipient that give higher flag quality. In spite of the favorable position in fem to cell systems, there win critical difficulties in Interference Management. Specifically, impedance between the macro cell and fem to cell turns into the fundamental issue in OFDMA-Long Term Evaluation (OFDMA-LTE) framework. In this paper, the Neural Network and Hybrid Bee Colony and Cuckoo Search based Resource Allocation (NN-HBCCS-RA) in OFDMA-LTE framework is presented. The ideal power esteems are refreshed to dispense every one of the clients in the fem to cell and large scale cell. The NN-HBCCS strategy accomplished low Signal to Interference Noise Ratio (SINR), otherworldly proficiency and high throughput contrasted with customary techniques.

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