scholarly journals Advances in Massive MIMO Antenna Design, Channel Modeling, and System Technologies

2014 ◽  
Vol 2014 ◽  
pp. 1-1 ◽  
Author(s):  
Kan Zheng ◽  
Xuefeng Yin ◽  
Periklis Chatzimisios ◽  
Yan Xin
2015 ◽  
Vol 2015 ◽  
pp. 1-1
Author(s):  
Wenhua Chen ◽  
Manos M. Tentzeris ◽  
Neil Trappe ◽  
Yuan Yao ◽  
Yan Zhang ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-2
Author(s):  
Wenhua Chen ◽  
Manos M. Tentzeris ◽  
Yuan Yao ◽  
Yan Zhang ◽  
Li Yang

2013 ◽  
Vol 2013 ◽  
pp. 1-2
Author(s):  
Wenhua Chen ◽  
Manos M. Tentzeris ◽  
Yuan Yao ◽  
Yan Zhang ◽  
Li Yang

Author(s):  
Kengo Onaka ◽  
Hiroshi Kojima ◽  
Kei Matsutani ◽  
Atsushi Horita ◽  
Takaya Wada ◽  
...  

2018 ◽  
Vol 12 (10) ◽  
pp. 1709-1718 ◽  
Author(s):  
Monjed A. Al‐Tarifi ◽  
Mohammad S. Sharawi ◽  
Atif Shamim

2017 ◽  
Vol 63 (1) ◽  
pp. 79-84
Author(s):  
M. K Noor Shahida ◽  
Rosdiadee Nordin ◽  
Mahamod Ismail

Abstract Energy Efficiency (EE) is becoming increasingly important for wireless communications and has caught more attention due to steadily rising energy costs and environmental concerns. Recently, a new network architecture known as Massive Multiple-Input Multiple-Output (MIMO) has been proposed with the remarkable potential to achieve huge gains in EE with simple linear processing. In this paper, a power allocation algorithm is proposed for EE to achieve the optimal EE in Massive MIMO. Based on the simplified expression, we develop a new algorithm to compute the optimal power allocation algorithm and it has been compared with the existing scheme from the previous literature. An improved water filling algorithm is proposed and embedded in the power allocation algorithm to maximize EE and Spectral Efficiency (SE). The numerical analysis of the simulation results indicates an improvement of 40% in EE and 50% in SE at the downlink transmission, compared to the other existing schemes. Furthermore, the results revealed that SE does not influence the EE enhancement after using the proposed algorithm as the number of Massive MIMO antenna at the Base Station (BS) increases.


Author(s):  
Swati Dhandade

This paper presents a dual-band MIMO antenna design with compact size for 5G communication under 6 GHz band frequency. The metallic monopole stub structure is used to miniaturization of antenna. The L-shape monopole antenna is modified by adding semi-circular element in radiating structure of monopole to obtain dual-band resonance. The High isolation is achieved by employing T-shaped stub in ground plane.It has compact size is 45 mm × 25 mm × 1.6 mm3. The proposed Dual Band MIMO antenna has been design on FR4 material with ɛr = 4.4 with 1.6 thickness. The proposed antenna has 5G application in the bands of 2.5 GHz (2.34 GHz-2.62 GHz) and 3.5 GHz (3.20 GHz-5.20 GHz). The bandwidth of antenna getting 320MHz and 2500MHz at 2.5GHz and 3.5GHz respectively. The Isolation (S21) of proposed antenna is -31.2 dB at 2.5 GHz and -19.5 dB at 3.5 GHz. VSWR is less than 1.06 for both the bands. The designed dual band MIMO antenna covers 5G bands of 2.3-2.4GHz (n30/n40), 2.4-2.5GHz (n7/n38/n41/n90), and 3.2-5.2GHz (n77/n78/n80). The experimental and simulated results observed good matching except some slight variation. This proposed dual band MIMO antenna is suitable for 5G mobile Communications.


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