Abstract
In this paper, we consider a user scheduling problem which maximizes the weighted sum-rate (WSR) in multicell multiple input single output (MISO) downlink systems. Since an exhaustive search algorithm requires high computational complexity, we propose a low complexity algorithm which finds a user set in terms of WSR maximization. We first consider a greedy user selection algorithm which almost achieves the system performance of the exhaustive search algorithm in high SNR regime. Next, a distributed user scheduling algorithm is proposed by employing the maximized signal-to-leakage-and-noise ratio (SLNR) in the selection criteria. This leads to a reduction of the system overhead of exchanging channel state information and computational complexity. From simulation results, we show that the performance of our proposed scheme is very close to the conventional greedy user scheme with lower overhead.
| Original language | English |
|---|---|
| Title of host publication | IEEE Vehicular Technology Conference |
| DOIs | |
| Publication status | Published - 2013 Dec 1 |
| Event | 2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Dresden, Germany Duration: 2013 Jun 2 → 2013 Jun 5 |
Other
| Other | 2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 |
|---|---|
| Country | Germany |
| City | Dresden |
| Period | 13/6/2 → 13/6/5 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Applied Mathematics
Cite this
SLNR-based User scheduling for MISO downlink cellular systems. / Ahn, Minki; Lee, Kilbom; Lee, Kwangwon; Lee, Inkyu.
IEEE Vehicular Technology Conference. 2013. 6692757.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - SLNR-based User scheduling for MISO downlink cellular systems
AU - Ahn, Minki
AU - Lee, Kilbom
AU - Lee, Kwangwon
AU - Lee, Inkyu
PY - 2013/12/1
Y1 - 2013/12/1
N2 - In this paper, we consider a user scheduling problem which maximizes the weighted sum-rate (WSR) in multicell multiple input single output (MISO) downlink systems. Since an exhaustive search algorithm requires high computational complexity, we propose a low complexity algorithm which finds a user set in terms of WSR maximization. We first consider a greedy user selection algorithm which almost achieves the system performance of the exhaustive search algorithm in high SNR regime. Next, a distributed user scheduling algorithm is proposed by employing the maximized signal-to-leakage-and-noise ratio (SLNR) in the selection criteria. This leads to a reduction of the system overhead of exchanging channel state information and computational complexity. From simulation results, we show that the performance of our proposed scheme is very close to the conventional greedy user scheme with lower overhead.
AB - In this paper, we consider a user scheduling problem which maximizes the weighted sum-rate (WSR) in multicell multiple input single output (MISO) downlink systems. Since an exhaustive search algorithm requires high computational complexity, we propose a low complexity algorithm which finds a user set in terms of WSR maximization. We first consider a greedy user selection algorithm which almost achieves the system performance of the exhaustive search algorithm in high SNR regime. Next, a distributed user scheduling algorithm is proposed by employing the maximized signal-to-leakage-and-noise ratio (SLNR) in the selection criteria. This leads to a reduction of the system overhead of exchanging channel state information and computational complexity. From simulation results, we show that the performance of our proposed scheme is very close to the conventional greedy user scheme with lower overhead.
UR - http://www.scopus.com/inward/record.url?scp=84893523276&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893523276&partnerID=8YFLogxK
U2 - 10.1109/VTCSpring.2013.6692757
DO - 10.1109/VTCSpring.2013.6692757
M3 - Conference contribution
AN - SCOPUS:84893523276
SN - 9781467363372
BT - IEEE Vehicular Technology Conference
ER -