The Markov-modulated Poisson process (MMPP) cookbook
Performance Evaluation
The RESTART/LRE method for rare event simulation
WSC '96 Proceedings of the 28th conference on Winter simulation
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Mobility modeling in wireless networks: categorization, smooth movement, and border effects
ACM SIGMOBILE Mobile Computing and Communications Review
OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting
OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting
Channel assignment schemes for cellular mobile telecommunication systems: A comprehensive survey
IEEE Communications Surveys & Tutorials
Broadband wireless access solutions based on OFDM access in IEEE 802.16
IEEE Communications Magazine
Hi-index | 0.00 |
This paper presents a framework for allocating radio resources to the Access Points (APs) introducing an Access Point Controller (APC). Radio resources can be either time slots or subchannels. The APC assigns subchannels to the APs using a dynamic subchannel allocation scheme. The developed framework evaluates the dynamic subchannel allocation scheme for a downlink multicellular Orthogonal Frequency Division Multiple Access (OFDMA) system. In the considered system, each AP and the associated Mobile Terminals (MTs) are not operating on a frequency channel with fixed bandwidth, rather the channel bandwidth for each AP is dynamically adapted according to the traffic load. The subchannels assignment procedure is based on quality estimations due to the interference measurements and the current traffic load. The traffic load estimation is realized with the measurement of the utilization of the assigned radio resources. The reuse partitioning for the radio resources is done by estimating mutual Signal to Interference Ratio (SIR) of the APs. The developed dynamic subchannel allocation ensures Quality of Service (QoS), better traffic adaptability, and higher spectrum efficiency with less computational complexity.