Optimal power allocation for homogeneous and heterogeneous CA-MIMO systems

• 作 者: CUI QiMei KANG PeiChuan HUANG XueQing VALKAMA Mikko NIEMELA Jarno
• 机 构: Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunicati
• 出 处: Science China(Information Sciences)
• 发表日期: 2013年02期
• 关键词: allocation heterogeneous transmitter scenarios maximize deployment antenna const

Carrier aggregation (CA) technique has been adopted by 3GPP LTE-Advanced due to its ability of enhancing the spectrum efficiency and peak data rates through aggregating multiple component carriers (CCs). Two main factors make power control optimization very essential for CA-MIMO radio link: the different channel characteristics in multiple CCs, and multiple power constraint conditions (per-CC, per-antenna and pertransmitter power constraints) in the actual CA system deployment. This paper firstly derives the degenerate conditions of optimal power allocation for a single-transmitter CA-MIMO system. Stemming from the derived degenerate conditions, we propose a modified hybrid gradient optimal power allocation(MHGOPA) algorithm to maximize the system performance. Simulation results verify the validity of the proposed resource allocation approach by comparing with baseline average power allocation algorithm. Finally, we extend the MHGOPA algorithm into a heterogeneous CA network with multiple transmitters working simultaneously.

Carrier aggregation (CA) technique has been adopted by 3GPP LTE-Advanced due to its ability of enhancing the spectrum efficiency and peak data rates through aggregating multiple component carriers (CCs). Two main factors make power control optimization very essential for CA-MIMO radio link: the different channel characteristics in multiple CCs, and multiple power constraint conditions (per-CC, per-antenna and pertransmitter power constraints) in the actual CA system deployment. This paper paper derives the degenerate conditions of optimal power allocation for a single- Stemming from the derived degenerate conditions, we propose a modified hybrid gradient optimal power allocation (MHGOPA) algorithm to maximize the system performance. Simulation results verify the validity of the proposed resource allocation approach by comparing with baseline average power allocation Finally, we extend the MHGOPA algorithm into a heterogeneous CA network with multi ple transmitters working simultaneously.