Power Control in Cell-Free Massive MIMO Networks for UAVs URLLC under the Finite Blocklength Regime

In this paper, we concentrate on the employment of a user-centric (UC) cell-free massive MIMO (CFmMIMO) network for providing ultra reliable low latency communication (URLLC) when traditional ground users (GUs) coexists with unmanned aerial vehicles (UAVs). We study power control in both the downlink and the uplink of such a scenario when partial zero-forcing (PZF) transmit/receive beamforming and maximum ratio transmission/combining are utilized. We consider optimization problems where the objective is either to maximize the total users’ sum URLLC rate or to maximize the minimum user’s URLLC rate. The considered URLLC rate function is both complicated and nonconvex rendering the considered optimization problems nonconvex. Thus, we present two approximations for the URLLC rate function and resort to successive convex optimization (SCO) to tackle the considered optimization problems. Particularly, we present SCO with iterative concave lower bound approximation (SCO-ICBA) and SCO with iterative interference approximation (SCO-IIA). We provide extensive simulations to evaluate SCO-ICBA and SCO-IIA and compare UC CFmMIMO deployment with traditional colocated massive MIMO (COmMIMO) systems.

[1]  H. Vincent Poor,et al.  Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale , 2018, Proceedings of the IEEE.

[2]  Andreas Mitschele-Thiel,et al.  Latency Critical IoT Applications in 5G: Perspective on the Design of Radio Interface and Network Architecture , 2017, IEEE Communications Magazine.

[3]  Meisam Razaviyayn,et al.  Successive Convex Approximation: Analysis and Applications , 2014 .

[4]  Erik G. Larsson,et al.  Cell-Free Massive MIMO Versus Small Cells , 2016, IEEE Transactions on Wireless Communications.

[5]  H. Vincent Poor,et al.  Power Allocation for Energy Efficiency and Secrecy of Wireless Interference Networks , 2018, IEEE Transactions on Wireless Communications.

[6]  Giovanni Geraci,et al.  Analysis of UAV Communications in Cell-Free Massive MIMO Systems , 2020, IEEE Open Journal of the Communications Society.

[7]  Giovanni Geraci,et al.  Cell-Free Massive MIMO for UAV Communications , 2019, 2019 IEEE International Conference on Communications Workshops (ICC Workshops).

[8]  H. Vincent Poor,et al.  Cell-Free Massive MIMO in the Short Blocklength Regime for URLLC , 2021, IEEE Transactions on Wireless Communications.

[9]  Nathaniel E. Helwig,et al.  An Introduction to Linear Algebra , 2006 .

[10]  Francisco Facchinei,et al.  Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems , 2013, IEEE Transactions on Signal Processing.

[11]  Xingqin Lin,et al.  An Overview of 3GPP Release-15 Study on Enhanced LTE Support for Connected Drones , 2018, IEEE Communications Standards Magazine.

[12]  H. Vincent Poor,et al.  Channel Coding Rate in the Finite Blocklength Regime , 2010, IEEE Transactions on Information Theory.

[13]  Rui Zhang,et al.  Wireless communications with unmanned aerial vehicles: opportunities and challenges , 2016, IEEE Communications Magazine.

[14]  Ali A. Nasir,et al.  Resource Allocation and Beamforming Design in the Short Blocklength Regime for URLLC , 2021, IEEE Transactions on Wireless Communications.

[15]  Emil Björnson,et al.  Local Partial Zero-Forcing Precoding for Cell-Free Massive MIMO , 2020, IEEE Transactions on Wireless Communications.

[16]  H. Vincent Poor,et al.  Finite Blocklength Information Theory: What Is the Practical Impact on Wireless Communications? , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).

[17]  Rui Zhang,et al.  Massive MIMO for Cellular-Connected UAV: Challenges and Promising Solutions , 2020, IEEE Communications Magazine.

[18]  Emil Björnson,et al.  Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation , 2019, IEEE Transactions on Wireless Communications.

[19]  Erik G. Larsson,et al.  Cell-Free Massive MIMO: Uniformly great service for everyone , 2015, 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[20]  Stefano Buzzi,et al.  Cell-Free Massive MIMO: User-Centric Approach , 2017, IEEE Wireless Communications Letters.

[21]  Bo Hu,et al.  A Vision of IoT: Applications, Challenges, and Opportunities With China Perspective , 2014, IEEE Internet of Things Journal.

[22]  Jose Marcos Camara Brito.  Trends in wireless communications towards 5G networks — The influence of e-health and IoT applications , 2016, 2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech).

[23]  Sobia Baig,et al.  Key Technologies for Ultra-Reliable and Low-Latency Communication in 6G , 2021, IEEE Communications Standards Magazine.

[24]  Giuseppe Durisi,et al.  Quasi-Static Multiple-Antenna Fading Channels at Finite Blocklength , 2013, IEEE Transactions on Information Theory.

[25]  Muhammad Ali Imran,et al.  Enabling Massive IoT in 5G and Beyond Systems: PHY Radio Frame Design Considerations , 2016, IEEE Access.

[26]  Erik G. Larsson,et al.  On the Total Energy Efficiency of Cell-Free Massive MIMO , 2017, IEEE Transactions on Green Communications and Networking.

[27]  Mary Attenborough,et al.  Mathematics for electrical engineering and computing , 2003 .

[28]  Emil Björnson,et al.  Supporting UAV Cellular Communications through Massive MIMO , 2018, 2018 IEEE International Conference on Communications Workshops (ICC Workshops).

[29]  Alessio Zappone,et al.  Optimal Joint Beamforming and Power Control in Cell-Free Massive MIMO Downlink , 2021, 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).