Pilot Assignment in Cell-Free Massive MIMO Based on the Hungarian Algorithm

This letter focuses on the problem of pilot assignment in cell-free massive MIMO systems. Exploiting the well-known Hungarian algorithms, two procedures are proposed, one maximizing the system throughput, and the other one maximizing the fairness across users. The algorithms operate based on the knowledge of large-scale fading coefficients as a proxy for the distances between users in the system, and take into account both the uplink and downlink performance. Numerical results show that the proposed pilot assignment algorithms are effective and outperform the many competing alternatives available in the literature.

[1]  Dieter Jungnickel,et al.  Graphs, Networks, and Algorithms , 1980 .

[2]  3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (e-utra); Further Advancements for E-utra Physical Layer Aspects (release 9) , 2022 .

[3]  Angel Lozano,et al.  Random vs Structured Pilot Assignment in Cell-Free Massive MIMO Wireless Networks , 2018, 2018 IEEE International Conference on Communications Workshops (ICC Workshops).

[4]  Shuguang Cui,et al.  A Novel Pilot Assignment Scheme in Massive MIMO Networks , 2018, IEEE Wireless Communications Letters.

[5]  Long Bao Le,et al.  Resource Allocation Optimization in Multi-User Multi-Cell Massive MIMO Networks Considering Pilot Contamination , 2015, IEEE Access.

[6]  Stefano Buzzi,et al.  User-Centric Communications versus Cell-free Massive MIMO for 5G Cellular Networks , 2017, WSA.

[7]  Guillem Femenias,et al.  Cell-Free Millimeter-Wave Massive MIMO Systems With Limited Fronthaul Capacity , 2019, IEEE Access.

[8]  Longxiang Yang,et al.  Location-Based Greedy Pilot Assignment for Cell-Free Massive MIMO Systems , 2018, 2018 IEEE 4th International Conference on Computer and Communications (ICCC).

[9]  Erik G. Larsson,et al.  Fundamentals of massive MIMO , 2016, SPAWC.

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

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

[12]  Harold W. Kuhn,et al.  The Hungarian method for the assignment problem , 1955, 50 Years of Integer Programming.

[13]  Hien Quoc Ngo,et al.  Pilot Power Control for Cell-Free Massive MIMO , 2018, IEEE Transactions on Vehicular Technology.

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

[15]  J. Munkres ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .

[16]  Alessio Zappone,et al.  User-Centric 5G Cellular Networks: Resource Allocation and Comparison With the Cell-Free Massive MIMO Approach , 2018, IEEE Transactions on Wireless Communications.