Cooperative multilevel dynamic space–time trellis coding scheme for improved system performance

2016 ◽  
Vol 10 (4) ◽  
pp. 416-424
Author(s):  
Sakshi Aneja ◽  
Sanjay Sharma
Keyword(s):  
System Performance ◽  
Space Time ◽  
Trellis Coding ◽  
Coding Scheme

Space-time trellis coding scheme for intensity modulation/direct detection in atmospheric laser communication systems

2016 ◽  
Vol 45 (6) ◽  
pp. 0622003
Author(s):  
王惠琴 Wang Huiqin ◽  
肖博 Xiao Bo ◽  
孙剑锋 Sun Jianfeng ◽  
贾非 Jia Fei ◽  
曹明华 Cao Minghua
Keyword(s):  
Communication Systems ◽  
Direct Detection ◽  
Space Time ◽  
Intensity Modulation ◽  
Laser Communication ◽  
Trellis Coding ◽  
Coding Scheme

A novel grouped multilevel dynamic space-time trellis coding scheme

2014 ◽  
Vol 28 (6) ◽  
pp. 1168-1179 ◽  
Author(s):  
Dharmvir Jain ◽  
Sanjay Sharma
Keyword(s):  
Space Time ◽  
Trellis Coding ◽  
Coding Scheme

A space-time trellis coding scheme for vector Gaussian broadcast channels

2005 ◽  
Vol 9 (5) ◽  
pp. 388-390 ◽  
Author(s):  
Yonghui Li ◽  
B. Vucetic ◽  
M. Dohler
Keyword(s):  
Space Time ◽  
Broadcast Channels ◽  
Trellis Coding ◽  
Coding Scheme

scholarly journals Performance Analysis of Grouped Multilevel Space-Time Trellis Coding Technique Using Cognitive Radio in Different Deployment Models

2019 ◽  
Vol 2019 ◽  
pp. 1-20 ◽  
Author(s):  
Shakti Raj Chopra ◽  
Akhil Gupta ◽  
Rakesh Kumar Jha
Keyword(s):  
Cognitive Radio ◽  
Error Rate ◽  
Cooperative Diversity ◽  
Symbol Error Rate ◽  
Space Time ◽  
Link Quality ◽  
Trellis Coding ◽  
Space Time Coding ◽  
Proposed Model

In this era, the number of users in a network is increasing tremendously at a faster rate; as a consequence, quality of service (QoS) is drastically deteriorating. To compensate such kinds of problems, we attempted to enhance the QoS of the network, which leads to an improvement in throughput, link quality, spectral efficiency, and many more. To meet the requirements mentioned above, many researchers intervene to advance and propose different techniques with an appropriate design methodology. In this work, we try to emphasize symbol error rate (SER) and frame error rate (FER) by implementing some of the existing space-time coding techniques like Space-Time Trellis Coding (STTC), multilevel space-time trellis coding (MLSTTC), and grouped multilevel space-time trellis coding (GMLSTTC). Though all these techniques are proved to be efficient enough, we explicitly included a powerful method of cooperative diversity-based spectrum sensing in cognitive radio scenario. From this analysis, we landed on to the conclusion that this technique is far better to deal with all these parameters, which can improve the QoS of the network. This paper has also analyzed the effect of the proposed model of GMLSTTC with cognitive radio on various deployment setups such as urban, suburban, and rural macrodeployment setup of the ITU-R M.2135 standard.

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