Backhaul Capacity-Limited Joint User Association and Power Allocation Scheme in Ultra-Dense Millimeter-Wave Networks

Area of Science:

• Wireless communication
• Network engineering
• Signal processing

Background:

• Millimeter-wave (mmWave) communication offers high throughput for 5G but faces signal blocking issues.
• Ultra-dense networks (UDN) and user-centric virtual cells can mitigate mmWave challenges.
• Existing solutions struggle with backhaul burden and interbeam interference.

Purpose of the Study:

• To propose a novel iterative joint user association and power allocation (JUAPA) scheme for UDN mmWave networks.
• To optimize system throughput and satisfy Quality of Service (QoS) requirements under backhaul constraints.
• To address the challenges of signal blocking and interference in mmWave communications.

Main Methods:

• Formulation of a nonconvex system throughput optimization problem.
• Decomposition into alternating optimization subproblems: user association and power allocation.
• Application of a many-to-many matching algorithm for user association and Successive Convex Approximation (SCA) for power allocation.

Main Results:

• The proposed JUAPA scheme achieves performance close to exhaustive search with significantly reduced complexity.
• The scheme demonstrates superior performance compared to traditional methods in enhancing system throughput.
• Effective mitigation of interference and satisfaction of user QoS requirements were confirmed.

Conclusions:

• The developed JUAPA scheme offers an efficient solution for ultra-dense mmWave networks.
• The approach effectively balances throughput maximization with QoS satisfaction and resource management.
• This work provides a valuable contribution to advancing 5G mmWave communication technologies.