Delay Performance Optimization for Multiuser Diversity Systems with Bursty-Traffic and Heterogeneous Wireless Links
Jalil Seifali Harsini, Farshad Lahouti

TL;DR
This paper introduces a cross-layer optimization approach for delay performance in multiuser diversity systems with bursty traffic and heterogeneous wireless links, combining statistical modeling and adaptive resource management.
Contribution
It proposes a novel large deviations based model and joint AMC and power control optimization for delay-sensitive multiuser systems with heterogeneous channels.
Findings
Optimized AMC and power control reduce delay-bound violations.
Quantized feedback schemes maintain performance with constant power.
Numerical results validate the effectiveness of the proposed methods.
Abstract
This paper presents a cross-layer approach for optimizing the delay performance of a multiuser diversity system with heterogeneous block-fading channels and a delay-sensitive bursty-traffic. We consider the downlink of a time-slotted multiuser system employing opportunistic scheduling with fair performance at the medium access (MAC) layer and adaptive modulation and coding (AMC) with power control at the physical layer. Assuming individual user buffers which temporarily store the arrival traffic of users at the MAC layer, we first present a large deviations based statistical model to evaluate the delay-bound violation of packets in the user buffers. Aiming at minimizing the delay probability of the individual users, we then optimize the AMC and power control module subject to a target packet-error rate constraint. In the case of a quantized feedback channel, we also present a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Network Optimization · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
