Maximum Rate Scheduling With Adaptive Modulation in Mixed Impulsive Noise and Additive White Gaussian Noise Environments
- Title
- Maximum Rate Scheduling With Adaptive Modulation in Mixed Impulsive Noise and Additive White Gaussian Noise Environments
- Author
- 남해운
- Keywords
- Communication, Networking and Broadcast Technologies; Computing and Processing; Signal Processing and Analysis; Signal to noise ratio; Modulation; AWGN; Wireless communication; Binary phase shift keying; Adaptation models; Base stations; Impulsive noise; mixed noise; maximum rate scheduling; multiuser scheduling
- Issue Date
- 2021-05
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Citation
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v. 20, NO 5, Page. 3308-3320
- Abstract
- This article proposes an opportunistic scheduling scheme based on adaptive modulation for users in a mixed noise environment, where some users are under additive white Gaussian noise (AWGN) and other users are exposed to impulsive noise. Unlike the scenario, where all the users are in an AWGN environment, the maximum signal-to-noise ratio (SNR) scheduler does not provide the maximum capacity if users are in a mixed noise environment. In the proposed scheduling scheme, called maximum rate scheduler, the user with the highest rate (or highest modulation order), instead of highest SNR, is selected. To evaluate the performance of the proposed scheduling scheme, the analyses of average spectral efficiency, outage probability and system capacity are provided along with a simple calculation of SNR thresholds for adaptive modulation in an impulsive noise environment satisfying target symbol error rate (SER). Simulation results illustrate that system capacity with the proposed scheduling given target SER = 10(-2) and the average spectral efficiency are improved by 156% and 124%, respectively, at SNR = 5 dB when a strong impulsive noise is present.
- URI
- https://ieeexplore.ieee.org/document/9321224?arnumber=9321224&SID=EBSCO:edseeehttps://repository.hanyang.ac.kr/handle/20.500.11754/171720
- ISSN
- 1536-1276; 1558-2248
- DOI
- 10.1109/TWC.2021.3049124
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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