TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Markov Decision Process (MDP) based Load Balancing Algorithm for Multi-cell Networks with Multi-carriers |
| 영문제목(English Title) |
A Markov Decision Process (MDP) based Load Balancing Algorithm for Multi-cell Networks with Multi-carriers |
| 저자(Author) |
Janghoon Yang
|
| 원문수록처(Citation) |
VOL 08 NO. 10 PP. 3394 ~ 3408 (2014. 10) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Conventional mobile state (MS) and base station (BS) association based on average signal
strength often results in imbalance of cell load which may require more powerful processor at
BSs and degrades the perceived transmission rate of MSs. To deal with this problem, a
Markov decision process (MDP) for load balancing in a multi-cell system with multi-carriers
is formulated. To solve the problem, exploiting Sarsa algorithm of on-line learning type [12],
-controllable load balancing algorithm is proposed. It is designed to control tradeoff
between the cell load deviation of BSs and the perceived transmission rates of MSs. We also
propose an -differential soft greedy policy for on-line learning which is proven to be
asymptotically convergent to the optimal greedy policy under some condition. Simulation
results verify that the -controllable load balancing algorithm controls the behavior of the
algorithm depending on the choice of . It is shown to be very efficient in balancing cell
loads of BSs with low .
|
| 키워드(Keyword) |
MDP
dynamic programming
multi-carriers
load balancing
multi-cells
|
| 파일첨부 |
PDF 다운로드
|
