A Novel Optimal Joint Resource Allocation Method in Cooperative Multicarrier Networks: Theory and Practice

Area of Science:

• Wireless communication networks
• Cooperative networking
• Resource allocation

Background:

• Capacity-constrained backhaul is a bottleneck in cooperative wireless networks, impacting transmission speed and Quality of Service (QoS).
• The Internet of Things (IoT) scenario, particularly in LTE-Advanced Pro joint processing, highlights these backhaul limitations.

Purpose of the Study:

• To propose a novel cooperative transmission scheme for uplink cooperative wireless networks with capacity-constrained backhaul.
• To maximize system capacity by optimizing user sorting, subcarrier mapping, and backhaul resource sharing.

Main Methods:

• A compress-and-forward scheme with user pairing is developed to address a joint mixed integer programming problem.
• A centralized algorithm based on alternating optimization and perfect mapping is proposed for robust and efficient resource allocation.

Main Results:

• The proposed method significantly improves system capacity compared to blind alternatives.
• Effective resource allocation strategies are demonstrated under limited backhaul conditions.

Conclusions:

• The novel cooperative transmission scheme effectively overcomes backhaul capacity constraints.
• Optimized resource allocation is crucial for enhancing system performance in cooperative wireless networks.