Decentralized Fair Scheduling in Two-Hop Relay-Assisted Cognitive OFDMA Systems
Rui Wang, Vincent K. N. Lau, and Ying Cui

TL;DR
This paper proposes a decentralized, relay-assisted cognitive OFDMA system that enhances spectrum efficiency, fairness, and robustness through an asymptotically optimal joint control scheme, outperforming existing methods.
Contribution
It introduces a novel cluster-based relay architecture with an asymptotically optimal, decentralized scheduling solution for cognitive OFDMA systems, improving throughput and fairness.
Findings
Significant throughput gains over existing designs.
Enhanced user fairness in relay-assisted cognitive networks.
Robust performance under imperfect channel information.
Abstract
In this paper, we consider a two-hop relay-assisted cognitive downlink OFDMA system (named as secondary system) dynamically accessing a spectrum licensed to a primary network, thereby improving the efficiency of spectrum usage. A cluster-based relay-assisted architecture is proposed for the secondary system, where relay stations are employed for minimizing the interference to the users in the primary network and achieving fairness for cell-edge users. Based on this architecture, an asymptotically optimal solution is derived for jointly controlling data rates, transmission power, and subchannel allocation to optimize the average weighted sum goodput where the proportional fair scheduling (PFS) is included as a special case. This solution supports decentralized implementation, requires small communication overhead, and is robust against imperfect channel state information at the…
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