User Association in Massive MIMO HetNets

Abstract

Massive MIMO and small cell are both recognized as the key technologies for the future 5G wireless systems. In this paper, we investigate the problem of user association in a heterogeneous network (HetNet) with massive MIMO and small cells, where the macro base station (BS) is equipped with a massive MIMO and the picocell BS's are equipped with regular MIMOs. We first develop centralized user association algorithms with proven optimality, considering various objectives such as rate maximization, proportional fairness, and joint user association and resource allocation. We then model the massive MIMO HetNet as a repeated game, which leads to distributed user association algorithms with proven convergence to the Nash Equilibrium (NE). We demonstrate the efficacy of these optimal schemes by comparison with several greedy algorithms through simulations.

Cited by in corpus (10)

• User Association in 5G Networks: A Survey and an Outlook
• Wireless Power Transfer in Massive MIMO Aided HetNets with User Association
• BOOST: Base station on-off switching strategy for energy efficient massive MIMO HetNets
• Harvest the potential of massive MIMO with multi-layer techniques
• Joint Devices and IRSs Association for Terahertz Communications in Industrial IoT Networks
• Multi-IRS-aided Terahertz Networks: Channel Modelling and User Association With Imperfect CSI
• Fairness-Oriented User Association in HetNets Using Bargaining Game Theory
• Interference Management in Massive MIMO HetNets: A Nested Array Approach
• User Association with Maximizing Sum Energy Efficiency for Massive MIMO Enabled Heterogeneous Cellular Networks
• Power Allocation and User Assignment Scheme for Beyond 5G Heterogeneous Networks