Performance Analysis of Power Control Algorithms in Uplink Cell‐Free Massive MIMO Systems.
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| Title: | Performance Analysis of Power Control Algorithms in Uplink Cell‐Free Massive MIMO Systems. |
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| Authors: | Mersha, Abera Sitotaw1 (AUTHOR) sitotawabera21@gmail.com, Yimer, Amare Kassaw1 (AUTHOR), Mengistu, Fikreselam Gared1 (AUTHOR), Ariyur, Kartik1 (AUTHOR) kariyur@purdue.edu |
| Source: | Journal of Engineering (2314-4912). 6/23/2026, Vol. 2026, p1-33. 33p. |
| Subjects: | Radio resource management, Radio interference, Wireless communications, Channel estimation, Rician channels |
| Abstract: | Cellular massive multiple input multiple output (MIMO) technology has revolutionized wireless communication by enhancing spectral efficiency (SE). However, its ability to meet the growing data rate demands of future networks beyond fifth generation (5G) is limited by challenges like intercell interference. Future wireless networks′ huge data demands can be addressed via cell‐free massive multiple input multiple output (CF mMIMO), which has emerged as a promising solution. This approach efficiently addresses intercell interference by utilizing multiple access points (APs) that join to serve user equipment (UE) without depending on conventional cell borders. However, improving performance in power optimization and addressing issues such as interuser interference and pilot contamination (PC) remain critical challenges in CF mMIMO systems. This research studies power control algorithms that optimize SE in uplink CF mMIMO and user‐centric CF mMIMO systems under Rician fading channels, taking into account time‐division duplex (TDD) operation and both perfect and imperfect channel state information (ICSI) at the APs. Orthogonal pilot assignment schemes can also mitigate the PC effect. Simulation results are provided, comparing SE performance in both CF mMIMO and user‐centric CF mMIMO systems. Fractional power control (FPC) is the best SE performance for both uniform power control (UPC) and minimum rate maximization power control (MRMPC). In the case of upper bound (UB) with ICSI at 0.5 cumulative distribution function (CDF), user‐centric CF mMIMO provides a 12.56% improvement over CF mMIMO under MR‐MPC. Therefore, user‐centric CF mMIMO is always better than both CF mMIMO and cellular massive (Ma‐MIMO) systems because it is cluster‐based. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Cellular massive multiple input multiple output (MIMO) technology has revolutionized wireless communication by enhancing spectral efficiency (SE). However, its ability to meet the growing data rate demands of future networks beyond fifth generation (5G) is limited by challenges like intercell interference. Future wireless networks′ huge data demands can be addressed via cell‐free massive multiple input multiple output (CF mMIMO), which has emerged as a promising solution. This approach efficiently addresses intercell interference by utilizing multiple access points (APs) that join to serve user equipment (UE) without depending on conventional cell borders. However, improving performance in power optimization and addressing issues such as interuser interference and pilot contamination (PC) remain critical challenges in CF mMIMO systems. This research studies power control algorithms that optimize SE in uplink CF mMIMO and user‐centric CF mMIMO systems under Rician fading channels, taking into account time‐division duplex (TDD) operation and both perfect and imperfect channel state information (ICSI) at the APs. Orthogonal pilot assignment schemes can also mitigate the PC effect. Simulation results are provided, comparing SE performance in both CF mMIMO and user‐centric CF mMIMO systems. Fractional power control (FPC) is the best SE performance for both uniform power control (UPC) and minimum rate maximization power control (MRMPC). In the case of upper bound (UB) with ICSI at 0.5 cumulative distribution function (CDF), user‐centric CF mMIMO provides a 12.56% improvement over CF mMIMO under MR‐MPC. Therefore, user‐centric CF mMIMO is always better than both CF mMIMO and cellular massive (Ma‐MIMO) systems because it is cluster‐based. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 23144904 |
| DOI: | 10.1155/je/1562390 |
