Quadrature Space-Frequency Index Modulation for Energy-Efficient 5G Wireless Communication Systems

2018 ◽  
Vol 66 (7) ◽  
pp. 3050-3064 ◽  
Author(s):  
Piya Patcharamaneepakorn ◽  
Cheng-Xiang Wang ◽  
Yu Fu ◽  
El-Hadi M. Aggoune ◽  
Mohammed M. Alwakeel ◽  
...  
Author(s):  
Xu He ◽  
Yuan Ding ◽  
Xingwang Li

Background: The multiuser scenarios using the recently proposed wireless communication scheme, namely Beam Index Modulation (BIM), are investigated in this paper. Methods: Both transmitter node and multiple receiver nodes are equipped with analogue beamforming networks, transforming physical wireless propagation channels to virtue channels in beam domain. Results: Under the non-line-of-sight (nLoS) multi-scattered channel conditions, which are likely the cases for some future wireless communication systems operating at higher frequency bands. Conclusion: It has been proved, both through simulations and experiment, at 10 GHz in an indoor environment, that the proposed BIM is able to enhance the system performance at high Signal-to-Noise Ratio (SNR) scenarios, with regard to the sum spectral efficiency, with only a single Radio Frequency (RF) chain.


2007 ◽  
Vol 49 (3) ◽  
Author(s):  
Heiko Hinkelmann ◽  
Peter Zipf ◽  
Manfred Glesner ◽  
Thilo Pionteck

In this paper we will demonstrate that dynamically reconfigurable computing is the key technology to enable small and energy-efficient hardware platforms for wireless communication systems, which provide the flexibility needed for keeping up with evolving standards and protocols. Two application-specific dynamically reconfigurable systems for WLANs and wireless sensor networks will be presented. The first architecture clearly shows that highly dynamic reconfiguration approaches can provide flexible and high-performance hardware platforms that are smaller than standard ASIC solutions. The second architecture serves as a case study for the design of energy-efficient dynamically reconfigurable computing systems.


2012 ◽  
Vol 246-247 ◽  
pp. 640-643
Author(s):  
Yang Liu

In recent years, green computing which refers to maximize energy efficiency during the product's lifetime has attracted more and more concerns. How to use energy effectively in wireless communication systems is also an important issue. In this paper, we propose an energy efficient power control model for wireless communication systems. To control power consumption in wireless communication systems, we design a cross-layer optimization method by a cross layer optimizer which could collect status information from any protocol layer to make optimization decision and send parameter change request to the protocol layers. Experimental results illustrate the effectiveness of the proposed model.


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