Cross-layer capacity optimisation in WiMAX orthogonal frequency division multiple access systems with multi-class quality of services and users queue status

• Published in: IET communications Vol. 8; no. 14; pp. 2500 - 2508
• Main Authors: Matalgah, Mustafa M, Hammouri, Omar M, Paudel, Bimal
• Format: Journal Article
• Language: English
• Published: Stevenage The Institution of Engineering and Technology 01.09.2014; John Wiley & Sons, Inc
• Subjects: air interface multiple access mechanism; channel allocation; cross‐layer capacity optimisation design; dynamic radio resource management; Dynamical systems; Dynamics; fairness parameters; IEEE 802.16e standard; integer programming; integer programming exhaustive search; Interoperability; Long Term Evolution; LTE technologies; Mathematical models; multiclass quality of services; OFDM modulation; OFDMA system; Optimization; power allocation; QoS requirements; quality of service; subchannel allocation; Symbols; users queue status; WiMax; WiMAX orthogonal frequency division multiple access systems; Wireless communication; integer programming exhaustive search; LTE technologies; users queue status; integer programming; fairness parameters; WiMax; power allocation; quality of service; OFDMA system; dynamic radio resource management; cross-layer capacity optimisation design; subchannel allocation; air interface multiple access mechanism; multiclass quality of services; IEEE 802.16e standard; WiMAX orthogonal frequency division multiple access systems; OFDM modulation; channel allocation; QoS requirements; Long Term Evolution
• ISSN: 1751-8628; 1751-8636; 1751-8636
• DOI: 10.1049/iet-com.2014.0090

Given the broad range of applications supported, high data rate required and low latency promised; dynamic radio resource management is becoming vital for the air interface technologies such as WiMAX and LTE adopted by international standards. This study considers the OFDMA system, which has been implemented in both WiMAX and LTE technologies as their air interface multiple access mechanism. A framework for optimised resource allocation with QoS support that aims to balance between service provider's revenue and subscriber's satisfaction is proposed in this study. A cross-layer optimisation design for subchannel and power allocations with the objective of maximising the capacity (in bits/symbol/Hz) subject to fairness parameters and QoS requirements as constraints is presented. The optimisation does not only consider users channel conditions but also queue status of each user as well as different QoS requirements. The QoS classes adopted by the IEEE 802.16e standard, for WiMAX technology, are utilised in this study. In the proposed framework, the problem of power allocation is solved analytically whereas the subchannel allocation is solved using integer programming exhaustive search. The simulation and numerical results obtained in this study have shown improved system performance as compared to other optimisation schemes known in the literature.