Adaptive modulation and MIMO coding for broadband wireless data networks

TLDR

Link adaptation techniques dynamically adjust modulation, coding, and other transmission parameters to improve data rate and spectral efficiency, but their application in broadband wireless networks with multiple dimensions—frequency in multicarrier systems and space in multi‑antenna systems—introduces new challenges. The paper reviews the challenges and promises of link adaptation in future broadband wireless networks. The authors propose guidelines for designing robust, cost‑effective algorithms that address these challenges.

Abstract

Link adaptation techniques, where the modulation, coding rate, and/or other signal transmission parameters are dynamically adapted to the changing channel conditions, have emerged as powerful tools for increasing the data rate and spectral efficiency of wireless data-centric networks. While there has been significant progress on understanding the theoretical aspects of time adaptation in LA protocols, new challenges surface when dynamic transmission techniques are employed in broadband wireless networks with multiple signaling dimensions. Those additional dimensions are mainly frequency, especially in multicarrier systems, and space in multiple-antenna systems, particularly multiarray multiple-input multiple-output communication systems. We give an overview of the challenges and promises of link adaptation in future broadband wireless networks. We suggest guidelines to help in the design of robust, complexity/cost-effective algorithms for these future wireless networks.