Title :
Opportunistic Packet Scheduling in OFDM Distributed Antenna Systems
Author :
Xu, Wenjun ; He, Zhiqiang ; Niu, Kai
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Opportunistic packet scheduling optimization problem in orthogonal frequency division multiplexing (OFDM) distributed antenna systems (DAS) is investigated by this paper. Physical-layer channel state information (CSI) and wireless links´ requirements for bit error rate are taken into account during problem formulation. The optimization aim is to minimize packet loss rate (PLR) subject to limited wireless resource, which is characterized by power, subcarrier, antenna et al. According to the characteristics of users´ packet queues as well as CSI, the proposed algorithm adaptively allocates wireless resource to users to exploit as much spatial and multiuser diversity as possible. Simulation results show the proposed algorithm achieves the lowest PLR in all compared algorithms. Further more, the proposed circular DAS significantly outperforms colocated antenna systems (CAS) due to distributed antenna deployment.
Keywords :
MIMO communication; OFDM modulation; antenna arrays; error statistics; packet radio networks; radio links; resource allocation; scheduling; MIMO systems; OFDM distributed antenna systems; bit error rate; colocated antenna systems; multiple-input multiple-output systems; multiuser diversity; opportunistic packet scheduling optimization problem; orthogonal frequency division multiplexing; packet loss rate minimization; physical-layer channel state information; spatial diversity; user packet queues; wireless link; wireless resource allocation; Algorithm design and analysis; Antennas and propagation; Content addressable storage; Downlink; Fading; Helium; OFDM; Quality of service; Resource management; Scheduling algorithm;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5302238
