Performance analysis for spatial multiplexing STBC—MIMO system with antenna selection

Author(s):  
Li-bing Pan ◽  
Zheng-quan Li ◽  
Feng Sun
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mingjie Zhuang ◽  
Haitao Li ◽  
Yisong Lin

AbstractHow to reduce the hardware cost and high power consumption of RF link of communication device is the key problem to be solved for multi-transmitting antenna and multi-receiving antenna system (MIMO). Always choose the best antennas connection a limited number of RF circuits, which is called antenna selection technology (AS), are a perfect solution to the problem, Assuming that the spatial range of the antenna meets the requirements of signal multiplexing and based on the maximum capacity criterion of the selected MIMO system, the manuscript proposes a low computational complexity (CC) and high performance joint transmitting and receiving antenna selection technique (JTRAS). Starting from the traditional capacity formula and the full matrix of MIMO channel, we utilize a simplified channel capacity expression through repeatedly iterating to delete a row and a column of the equivalent decrement channel matrix, which is to remove a pair of transmitting and receiving antennas. Based on the decreasing JTRAS (DJTRAS) algorithm, the capacity results of simulating calculation indicate that its median capacity overtakes other ones, such as optimum selection (OS), AS based on Frobenius 2 norm (NBS), and concise joint AS criterion (CJAS) etc., and the novel DJTRAS scheme can significantly reduce computational complexity (CC) compared to the exhaustive search method with maximum capacity, which defined as optimal algorithm in the curve graphs. This new technology of the AS is particularly suited to large number of selected antennas, such as Lt ≥ NT/2,Lr ≥ NR/2.


2008 ◽  
Vol 17 (02) ◽  
pp. 253-262
Author(s):  
JIANGUO LIU ◽  
LUXI YANG

For the sake of reducing the hardware cost of multiple RF chains and the complexity for spatial multiplexing systems, in this paper a novel low-complexity transmit antenna selection criterion is proposed for V-BLAST system with MMSE OSIC detection. Based on MMSE extension of V-BLAST with sorted QR decomposition, an intuitional performance analysis of each sub-stream for MMSE V-BLAST transmission is done, and a new solution to the transmit antenna selection problem is suggested. Unlike most of the existing works, the proposed algorithm synthetically considers the impacts of detection order, interference cancellation, and noise amplification. Theoretical analysis and simulation results show that the proposed algorithm achieves well both in outage capacity and in symbol error rate performance with low computational complexity.


2011 ◽  
Vol 2011 ◽  
pp. 1-6
Author(s):  
Javad Ahmadi-Shokouh

A Hybrid Antenna Selection (HAS), also called Soft Antenna Selection (SAS), method is basically implemented by a Linear Network (LN) located in RF domain of Multiple Input Multiple Output (MIMO) systems. In this paper, we evaluate the SAS-MIMO system, which is optimally tuned based on spatial multiplexing/diversity transmissions, in terms of receiver dynamic range issue. To this end, an SNR analysis is first performed for a reference point that is the input of Receiver Chain Block (RCB). Different systems are then compared based on a standard receiver, that is, WLAN 802.11 b. A three Dimensional (3D) ray-tracing modeling is applied to assist this evaluation. The simulation results for a case study show that although the optimum post-LNA SAS works like a full-complexity MIMO in the spatial multiplexing/diversity transmission strategies, it provides even a better SNR to the baseband, that is, it reveals a receiver dynamic range improvement.


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