Decoding algorithm and BER performance of interference alignment and cancellation system in MIMO networks

2011 ◽  
Author(s):  
Yuanyuan Li ◽  
Yang Xiao ◽  
Moon Ho Lee
Keyword(s):  
Interference Alignment ◽  
Decoding Algorithm ◽  
Mimo Networks ◽  
Ber Performance

scholarly journals Interference Alignment Inspired Opportunistic Communications in Multi-Cluster MIMO Networks with Wireless Power Transfer

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 335
Author(s):  
Yuan Ren ◽  
Xuewei Zhang ◽  
Meruyert Makhanbet
Keyword(s):  
High Efficiency ◽  
Wireless Power Transfer ◽  
Interference Alignment ◽  
Power Transfer ◽  
Wireless Power ◽  
Transceiver Design ◽  
Mimo Networks ◽  
Radio Frequency Signals ◽  
Wireless Environments ◽  
Effective Signal

In this work, we jointly investigate the issues of node scheduling and transceiver design in a sensor network with multiple clusters, which is endowed with simultaneous wireless information and power transfer. In each cluster of the observed network, S out of N nodes are picked, each of which is capable of performing information transmission (IT) via uplink communications. As for the remaining idle nodes, they can harvest energy from radio-frequency signals around their ambient wireless environments. Aiming to boost the intra-cluster performance, we advocate an interference alignment enabled opportunistic communication (IAOC) scheme. This scheme can yield better tradeoffs between IT and wireless power transfer (WPT). With the aid of IAOC scheme, the signal projected onto the direction of the receive combining vector is adopted as the accurate measurement of effective signal strength, and then the high-efficiency scheduling metric for each node can be accordingly obtained. Additionally, an algorithm, based on alternative optimization and dedicated for transceiver design, is also put forward, which is able to promote the achievable sum rate performance as well as the total harvested power. Our simulation results verify the effectiveness of the designed IAOC scheme in terms of improving the performance of IT and WPT in multi-cluster scenarios.

An Analytical Model for Interference Alignment in Multi-Hop MIMO Networks

2016 ◽  
Vol 15 (1) ◽  
pp. 17-31 ◽  
Author(s):  
Huacheng Zeng ◽  
Yi Shi ◽  
Y. Thomas Hou ◽  
Wenjing Lou ◽  
Sastry Kompella ◽  
...  
Keyword(s):  
Analytical Model ◽  
Interference Alignment ◽  
Mimo Networks

scholarly journals Iterative reweighted least squares interference alignment approach for multicell MIMO networks

2015 ◽  
Vol 4 (1) ◽  
pp. 1-7
Author(s):  
Mohamed Rihan ◽  
Maha Elsabrouty ◽  
Osamu Muta ◽  
Hiroshi Furukawa
Keyword(s):  
Least Squares ◽  
Interference Alignment ◽  
Mimo Networks ◽  
Multicell Mimo ◽  
Iterative Reweighted Least Squares

On interference alignment for multi-hop MIMO networks

2013 ◽  
Author(s):  
Huacheng Zeng ◽  
Yi Shi ◽  
Y. Thomas Hou ◽  
Wenjing Lou ◽  
Sastry Kompella ◽  
...  
Keyword(s):  
Interference Alignment ◽  
Mimo Networks

scholarly journals Opportunistic Downlink Interference Alignment for Multi-Cell MIMO Networks

2017 ◽  
Vol 16 (3) ◽  
pp. 1533-1548 ◽  
Author(s):  
Hyun Jong Yang ◽  
Won-Yong Shin ◽  
Bang Chul Jung ◽  
Changho Suh ◽  
Arogyaswami Paulraj
Keyword(s):  
Interference Alignment ◽  
Mimo Networks

Study of FCLSD Algorithm Performance Based on LTE System

2012 ◽  
Vol 195-196 ◽  
pp. 96-103
Author(s):  
Ke Wen Liu ◽  
Quan Liu
Keyword(s):  
High Performance ◽  
Hardware Implementation ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Sphere Decoding ◽  
Mimo Detection ◽  
Decoding Algorithm ◽  
Algorithm Performance ◽  
Simulation Results ◽  
Ber Performance

Soft-output complex list sphere decoding algorithm is a low-complexity MIMO detection algorithm and its BER performance approximates that of Maximum-Likelihood. However, it has a problem of not fixed complexity, and which make it very difficult to implement. To resolve this and try best to retain the advantages of the algorithm, a modified algorithmfixed complex list sphere decoding algorithm was proposed. Based on LTE TDD system, this paper studies the performance of the FCLSD algorithm. The simulation results show that: the BER performance of the FCLSD algorithm is close to that of the CLSD algorithm. However, when the number of antennas and modulation order increasing, the FCLSD algorithm is non-constrained of spherical radius and has fixed complexity. In addition, hardware implementation of the FCLSD algorithm could be carried out by parallel processing, thereby greatly reducing the algorithm complexity. So it is a high-performance algorithm of great potential.

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