Cross-Layer Optimization of Two-Way Relaying for Statistical QoS Guarantees
Cen lin, Yuan Liu, and Meixia Tao

TL;DR
This paper develops a cross-layer optimization framework for two-way relay systems to maximize throughput while satisfying statistical delay QoS constraints, using effective capacity and adaptive power/rate policies.
Contribution
It introduces a joint physical and data link layer optimization approach for delay-sensitive two-way relay networks, deriving optimal adaptive policies for different relay protocols.
Findings
Optimal power and rate adaptation policies are derived.
Adaptive policies effectively guarantee QoS and enhance throughput.
Performance gains vary with delay requirements and relay placement.
Abstract
Two-way relaying promises considerable improvements on spectral efficiency in wireless relay networks. While most existing works focus on physical layer approaches to exploit its capacity gain, the benefits of two-way relaying on upper layers are much less investigated. In this paper, we study the cross-layer design and optimization for delay quality-of-service (QoS) provisioning in two-way relay systems. Our goal is to find the optimal transmission policy to maximize the weighted sum throughput of the two users in the physical layer while guaranteeing the individual statistical delay-QoS requirement for each user in the datalink layer. This statistical delay-QoS requirement is characterized by the QoS exponent. By integrating the concept of effective capacity, the cross-layer optimization problem is equivalent to a weighted sum effective capacity maximization problem. We derive the…
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced MIMO Systems Optimization · Advanced Wireless Network Optimization
