Spectral efficiency augmentation in uplink massive mimo systems by increasing transmit power and uniform linear array gain
- Authors
- Arshad, J.; Rehman, A.; Rehman, A.U.; Ullah, R.; Hwang, S.O.
- Issue Date
- Sep-2020
- Publisher
- MDPI AG
- Keywords
- Area throughput; Channel gain; Future networks; Inter-cell interference; Line-of-site; Non-line-of-site; Signal-to-noise interference ratio; Signal-to-noise ratio; Spectral efficiency; Transmit power; Uniform linear array
- Citation
- Sensors (Switzerland), v.20, no.17, pp.1 - 15
- Journal Title
- Sensors (Switzerland)
- Volume
- 20
- Number
- 17
- Start Page
- 1
- End Page
- 15
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/78456
- DOI
- 10.3390/s20174982
- ISSN
- 1424-8220
- Abstract
- Improved Spectral Efficiency (SE) is a prominent feature of Massive Multiple-Input and Multiple-Output systems. These systems are prepared with antenna clusters at receiver (Rx ) and transmitter (Tx ). In this paper, we examined a massive MIMO system to increase SE in each cell that ultimately improves the area throughput of the system. We are aiming to find appropriate values of average cell-density (D), available bandwidth (B), and SE to maximize area throughput because it is the function of these parameters. Likewise, a SE augmentation model was developed to attain an increased transmit power and antenna array gain. The proposed model also considers the inter-user interference from neighboring cells along with incident angles of desired and interfering users. Moreover, simulation results validate the proposed model that is implementable in real-time scenarios by realizing maximum SE of 12.79 bits/s/Hz in Line of Sight (LoS) and 12.69 bits/s/Hz in Non-Line of Sight (NLoS) scenarios, respectively. The proposed results also substantiate the SE augmentation because it is a linear function of transmit power and array gain while using the Uniform Linear Array (ULA) configuration. The findings of this work ensure the efficient transmission of information in future networks. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
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