Title :
Joint power allocation strategy in CoMP (JP) transmission
Author :
Katiran, N. ; Fisal, N. ; Yusof, S.K.S. ; Marwangi, M.M.S. ; Ghafar, Aimi S A ; Saparudin, Faiz A.
Author_Institution :
Dept. of Commun. Eng., Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia
Abstract :
Coordinated Multipoint (CoMP) has been proposed as a promising way to enhance cell-edge performance in terms of throughput and coverage. Significant performance gain can be achieved in LTE-A through base station (eNB) coordination by exchanging information such as user data, channel state information (CSI) and scheduling decision. Multiple antennas technique (e.g., MIMO) on the other hand exploits antenna diversity which allows multiple simultaneous transmissions to a group of active users to enhance network performance. Therefore, user selection is important in maximizing system performance. Besides, system resources (e.g., power, bandwidth, transmission rate) in MIMO system must be managed efficiently. Optimal resource utilization should be used without performance compromise. In this paper we propose a joint approach of MIMO user selection strategy and optimal water filling (WF) power allocation in CoMP (JP) transmission. Simulation study shows that our proposed approach outperformed traditional CoMP with and without water filling power allocation.
Keywords :
Long Term Evolution; MIMO communication; antenna arrays; cellular radio; diversity reception; CoMP transmission; LTE-A; MIMO system; MIMO user selection strategy; antenna diversity; base station coordination; cell edge performance; coordinated multipoint; joint power allocation strategy; multiple antennas technique; optimal resource utilization; optimal water filling power allocation; Antennas; Joints; MIMO; Resource management; System performance; Throughput; Wireless communication; CoMP; WF; user selection;
Conference_Titel :
Wireless Technology and Applications (ISWTA), 2012 IEEE Symposium on
Conference_Location :
Bandung
Print_ISBN :
978-1-4673-2209-6
DOI :
10.1109/ISWTA.2012.6373830