Network Control without CSI using Rateless Codes for Downlink Cellular Systems
Yin Sun, C. Emre Koksal, Sung-Ju Lee, and Ness B. Shroff

TL;DR
This paper introduces a novel cross-layer control scheme for downlink cellular systems that uses rateless codes to manage channel uncertainty without relying on channel state information, achieving near-optimal utility.
Contribution
It develops a dynamic network control method using rateless codes and Lyapunov drift techniques to optimize utility without CSI, balancing complexity and performance.
Findings
Achieves utility within O(1/Lav) of the optimal with infinite block size
Improves network throughput by up to 68% over fixed-rate schemes
Provides a trade-off between complexity, delay, and performance in CSI-limited environments
Abstract
Wireless network scheduling and control techniques (e.g., opportunistic scheduling) rely heavily on access to Channel State Information (CSI). However, obtaining this information is costly in terms of bandwidth, time, and power, and could result in large overhead. Therefore, a critical question is how to optimally manage network resources in the absence of such information. To that end, we develop a cross-layer solution for downlink cellular systems with imperfect (and possibly no) CSI at the transmitter. We use rateless codes to resolve channel uncertainty. To keep the decoding complexity low, we explicitly incorporate time-average block-size constraints, and aim to maximize the system utility. The block-size of a rateless code is determined by both the network control decisions and the unknown CSI of many time slots. Therefore, unlike standard utility maximization problems, this…
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Taxonomy
TopicsAdvanced Wireless Network Optimization · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
