Multiuser adaptive subcarrier-and-bit allocation with adaptive cell selection for OFDM systems
IEEE Transactions on Wireless Communications
Optimization and performance evaluation of multicarrier transmission
IEEE Transactions on Information Theory
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
Fundamental design issues for the future Internet
IEEE Journal on Selected Areas in Communications
An adaptive cross-layer design for multiservice scheduling in OFDMA based mobile WiMAX systems
Computer Communications
EURASIP Journal on Wireless Communications and Networking - Special issue on OFDMA architectures, protocols, and applications
Downlink resource management for QoS scheduling in IEEE 802.16 WiMAX networks
Computer Communications
Optimal resource management in OFDMA wireless networks to support multimedia traffic
Proceedings of the 2010 ACM multimedia workshop on Mobile cloud media computing
Downlink fairness-aware adaptive resource allocation approach for LTE networks
International Journal of Network Management
On protection of compressed image in fading channel using data hiding
Computers and Electrical Engineering
Coding techniques to mitigate out-of-band radiation in high data rate OFDM-based cognitive radios
Computers and Electrical Engineering
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In this paper, we propose an adaptive multiuser frequency-time domain radio resource allocation model for the downlink OFDM systems, which efficiently exploits the time diversity, frequency diversity as well as multiuser diversity in the time, frequency and user domain, respectively. Next we give an in-depth capacity analysis of the proposed frequency-time domain radio resource allocation which achieves much higher capacity (spectral efficiency) than the conventional frequency domain resource allocation. Then according to the allocation algorithm's computational complexity, two different-complexity adaptive resource allocation algorithms-algorithm A and algorithm B-are proposed which adopt a two-step allocation method to reduce the scheduling complexity and meanwhile improve the scheduling performance. Simulation results show that though the performance of algorithm A and B is slightly different, both of the proposed algorithms yield much higher spectral efficiency and much lower outage probability than conventional OFDM-TDMA scheme or random allocation without any scheduling policy.