TY - GEN
T1 - A Novel User Association and Power Control Algorithm for Cell-free Massive MIMO
AU - Rachuri, Sanyasi Vishnu Vardhan
AU - Berardinelli, Gilberto
PY - 2024/5
Y1 - 2024/5
N2 - The vision of Industry 4.0 relies on advancements in wireless solutions; cell-free Massive Multiple Input Multiple Output (cf-mMIMO) is emerging as a promising physical layer technology for fifth-generation (5G) and beyond 5G technologies. However, industrial applications often demand varied and conflicting Quality-of-Service (QoS) requirements, and finding an optimal and scalable resource allocation strategy is challenging. This paper proposes a novel user association and power control algorithm to minimize the overall uplink (UL) transmit power while ensuring a given spectral efficiency (SE) requirement. The proposed solution identifies the best schedulable users to maximize the number of satisfied users without relying on instantaneous channel state information. Moreover, it adopts a game theory-based power control algorithm to minimize the total uplink power while ensuring the spectral efficiency requirement. Numerical results have shown significant gains in the number of satisfied users. A maximum gain of up to $15\%$ is observed for a low SE requirement (0.25 bits/s/Hz), increasing to $50\%$ for a SE requirement of 0.75 bits/s/Hz. Furthermore, the proposed solution has shown a great adaptability to varying requirements with respect to state-of-the-art schemes.
AB - The vision of Industry 4.0 relies on advancements in wireless solutions; cell-free Massive Multiple Input Multiple Output (cf-mMIMO) is emerging as a promising physical layer technology for fifth-generation (5G) and beyond 5G technologies. However, industrial applications often demand varied and conflicting Quality-of-Service (QoS) requirements, and finding an optimal and scalable resource allocation strategy is challenging. This paper proposes a novel user association and power control algorithm to minimize the overall uplink (UL) transmit power while ensuring a given spectral efficiency (SE) requirement. The proposed solution identifies the best schedulable users to maximize the number of satisfied users without relying on instantaneous channel state information. Moreover, it adopts a game theory-based power control algorithm to minimize the total uplink power while ensuring the spectral efficiency requirement. Numerical results have shown significant gains in the number of satisfied users. A maximum gain of up to $15\%$ is observed for a low SE requirement (0.25 bits/s/Hz), increasing to $50\%$ for a SE requirement of 0.75 bits/s/Hz. Furthermore, the proposed solution has shown a great adaptability to varying requirements with respect to state-of-the-art schemes.
KW - 5G
KW - Beyond 5G (B5G)
KW - Industry 4.0
KW - cell-free massive MIMO
KW - User association
KW - Power Control
M3 - Article in proceeding
BT - IEEE International Mediterranean Conference on Communications and Networking (MeditCom) 2024
ER -