Data networks (2nd ed.)
Elements of information theory
Elements of information theory
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
Cross-layer optimization for OFDM wireless networks-part I: theoretical framework
IEEE Transactions on Wireless Communications
Rate-maximizing power allocation in OFDM based on partial channel knowledge
IEEE Transactions on Wireless Communications
Cross-Layer Design for OFDMA Wireless Systems With Heterogeneous Delay Requirements
IEEE Transactions on Wireless Communications
Communication over fading channels with delay constraints
IEEE Transactions on Information Theory
Cross-layer design for wireless networks
IEEE Communications Magazine
Cross-layer scheduling for multi-user MIMO systems
IEEE Communications Magazine
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
Transmit power adaptation for multiuser OFDM systems
IEEE Journal on Selected Areas in Communications
A tutorial on cross-layer optimization in wireless networks
IEEE Journal on Selected Areas in Communications
A performance comparative study on the implementation methods for OFDMA cross-layer optimization
Future Generation Computer Systems
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It is well known that cross-layer scheduling can boost the spectral efficiency of multi-user OFDMA systems through multi-user selection diversity but existing designs usually have two important assumptions - users are delay-insensitive and channel state information at the transmitter (CSIT) is perfect. In practice, users have heterogeneous delay requirements and CSIT usually becomes outdated in time varying channel, which in turns leads to systematic packet errors and hence results in significant degradation on the throughput and delay performance in the OFDMA systems. In this paper, a novel cross-layer design problem is formulated as a convex optimization problem, on which a delay-sensitive jointly optimal power, rate and subcarrier allocation scheme is proposed so as to maintain heterogeneous users' delay requirement as well as achieving a target packet outage probability through combining queueing theory and information theory. Furthermore, we obtain closed-form asymptotic performance of the proposed delay-sensitive scheduler. Unlike the well-known SNR gain of Θ(log K) in conventional cross-layer scheduler with perfect CSIT, we demonstrate a cross-layer SNR gain of Θ((1-σΔH2)log K) can still be achieved under heterogeneous delay constraints and outdated CSIT with error variance σΔH2. Finally, simulation results show that our proposed delay-sensitive CSIT error considerate schemes provide robust system performance enhancement over conventional CSIT error inconsiderate opportunistic scheduler and naive queue length based MAX-Weight scheduler while satisfying heterogeneous delay requirements even at moderate to high CSIT errors.