Utility-Based Wireless Resource Allocation for Variable Rate Transmission
Xiaolu Zhang, Meixia Tao, Chun Sum Ng

TL;DR
This paper proposes a utility-based framework for wireless resource allocation that balances average transmission rate and rate oscillation, offering flexible control over performance tradeoffs.
Contribution
It introduces a new utility function for instantaneous rates and develops adaptive policies for time and power allocation, including practical quantized time sharing.
Findings
Utility function enables flexible tradeoff control.
Proposed policies improve rate stability and efficiency.
Simulation confirms effectiveness of utility-based approach.
Abstract
For most wireless services with variable rate transmission, both average rate and rate oscillation are important performance metrics. The traditional performance criterion, utility of average transmission rate, boosts the average rate but also results in high rate oscillations. We introduce a utility function of instantaneous transmission rates. It is capable of facilitating the resource allocation with flexible combinations of average rate and rate oscillation. Based on the new utility, we consider the time and power allocation in a time-shared wireless network. Two adaptation policies are developed, namely, time sharing (TS) and joint time sharing and power control (JTPC). An extension to quantized time sharing with limited channel feedback (QTSL) for practical systems is also discussed. Simulation results show that by controlling the concavity of the utility function, a tradeoff…
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Taxonomy
TopicsAdvanced Wireless Network Optimization · Advanced MIMO Systems Optimization · Wireless Communication Networks Research
