Browsing by Author "Teng, Hsin-Ying"

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A Green Radio Resource Allocation Scheme for LTE-A CoMP Systems with Multimedia Traffic
(2013)
Chung, Wen-Ching
;
Chang, Chung-Ju
;
Huang, Chin-Ya
;
Teng, Hsin-Ying
;
電機資訊學士班
In this paper, we propose a green radio resource allocation (GRRA) scheme for LTE-A downlink systems with coordinated multi-point (CoMP) transmission to support multimedia traffic. It is a crucial issue to find a balance between throughput maximization and transmission power minimization, especially when the QoS requirement guarantee for multimedia traffic is considered. The GRRA scheme defines a green radio utility function by considering required transmission power, assigned modulation order, and coordinated transmission nodes. Based on this utility function, it coordinates transmission nodes to deliver data on suitable subchannels with suitable transmission power. Simulation results show that, the GRRA scheme can save the transmission power by 33.9% and 40.1%, as compared to the adaptive radio resource allocation scheme [5] with CoMP and the utility-based radio resource allocation scheme [6] with CoMP, respectively. Besides, it enhances the system throughput by 5.5% and improves the Jain fairness index for best effort users by 155% over these two schemes.
A green radio resource allocation scheme for LTE-A downlink systems with CoMP transmission
(2014-08-01)
Chung, Wen-Ching
;
Chang, Chung-Ju
;
Teng, Hsin-Ying
;
電機工程學系
;
Department of Electrical and Computer Engineering
In this paper, we propose a green radio resource allocation (GRRA) scheme for LTE-advanced downlink systems with coordinated multi-point (CoMP) transmission to support multimedia traffic. The GRRA scheme defines a green radio utility function, which is composed of the required transmission power, assigned modulation order, and the number of coordinated transmission nodes. By maximizing this utility function, the GRRA scheme can effectively save transmission power, enhance spectrum efficiency, and guarantee quality-of-service requirements. The simulation results show that when the traffic load intensity is greater than 0.7, the GRRA scheme can save transmission power by more than 33.9 and 40.1 %, as compared with the conventional adaptive radio resource allocation (ARRA) scheme (Tsai et al. in IEEE Trans Wireless Commun 7(5):1734-1743, 2008) with CoMP and the utility-based radio resource allocation (URRA) scheme (Katoozian et al. in IEEE Trans Wireless Commun 8(1):66-71, 2009) with CoMP, respectively. Besides, it enhances the system throughput by approximately 5.5 % and improves Jain's fairness index for best effort users by more than 155 % over these two ARRA and URRA schemes.
A green radio resource allocation scheme for LTE-A downlink systems with CoMP transmission
(2014-08-01)
Chung, Wen-Ching
;
Chang, Chung-Ju
;
Teng, Hsin-Ying
;
電機資訊學士班
;
Undergraduate Honors Program of Electrical Engineering and Computer Science
In this paper, we propose a green radio resource allocation (GRRA) scheme for LTE-advanced downlink systems with coordinated multi-point (CoMP) transmission to support multimedia traffic. The GRRA scheme defines a green radio utility function, which is composed of the required transmission power, assigned modulation order, and the number of coordinated transmission nodes. By maximizing this utility function, the GRRA scheme can effectively save transmission power, enhance spectrum efficiency, and guarantee quality-of-service requirements. The simulation results show that when the traffic load intensity is greater than 0.7, the GRRA scheme can save transmission power by more than 33.9 and 40.1 %, as compared with the conventional adaptive radio resource allocation (ARRA) scheme (Tsai et al. in IEEE Trans Wireless Commun 7(5):1734-1743, 2008) with CoMP and the utility-based radio resource allocation (URRA) scheme (Katoozian et al. in IEEE Trans Wireless Commun 8(1):66-71, 2009) with CoMP, respectively. Besides, it enhances the system throughput by approximately 5.5 % and improves Jain\'s fairness index for best effort users by more than 155 % over these two ARRA and URRA schemes.