Joint downlink user association and interference avoidance with a load balancing approach in backhaul-constrained...

Area of Science:

• Wireless communication networks
• Telecommunications engineering
• Network optimization

Background:

• Heterogeneous networks (HetNets) integrate small cells into macro-only networks, posing challenges due to limited backhaul capacity.
• User association and interference management are critical for efficient HetNet operation.
• Existing methods struggle with the unique constraints of backhaul-constrained environments.

Purpose of the Study:

• To develop effective user association and resource allocation strategies for backhaul-constrained HetNets.
• To address the challenges of limited backhaul capacity and interference in HetNets.
• To improve overall network utility through optimized cell and subband allocation.

Main Methods:

• Formulation of cell and subband allocation problem considering backhaul constraints and interference.
• Development of a centralized heuristic solution using convex optimization (gradual removal method).
• Design of a distributed algorithm employing dual decomposition and admission control for local computations.

Main Results:

• The proposed distributed algorithm achieves near-optimal performance.
• The algorithm effectively balances load across network tiers.
• It significantly reduces interference for all users compared to conventional methods.

Conclusions:

• Distributed algorithms are crucial for HetNets, enabling local decision-making.
• The developed algorithm enhances network utility by optimizing user association and resource allocation.
• This approach provides a scalable and efficient solution for backhaul-constrained HetNets.