DocumentCode :
1766660
Title :
Imperfect CSI Based Joint Bit Loading and Power Allocation for Deadline Constrained Transmission
Author :
Jun-Bo Wang ; Min Feng ; Xiaoyu Song ; Ming Chen
Author_Institution :
Coll. of Electron. & Inf. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume :
17
Issue :
5
fYear :
2013
fDate :
41395
Firstpage :
826
Lastpage :
829
Abstract :
This paper studies the imperfect channel state information (CSI) based joint resource scheduling problem for deadline constrained transmission. We present a holistic system model in terms of performance constraints of imperfect CSI, scheduling deadline and bit loading. By tackling channel estimation error, robust scheduling problems are formulated with the ellipsoidal approximation and transmission reliability constraints respectively. Dynamic programming (DP) based robust scheduling schemes are derived. The numerical results show that the proposed robust scheduling schemes are efficient in solving the jointly scheduling problem. It is also shown that the impact of imperfect CSI is non-negligible, thus highlighting the importance of robust design in time-sensitive communications.
Keywords :
approximation theory; channel estimation; dynamic programming; radio networks; scheduling; telecommunication network reliability; DP based robust scheduling scheme; channel estimation error; deadline constrained transmission; dynamic programming based robust scheduling scheme; ellipsoidal approximation; holistic system model; imperfect CSI based joint bit loading; imperfect channel state information based joint resource scheduling problem; power allocation; robust scheduling problems; scheduling deadline; time-sensitive communication; transmission reliability; Channel estimation; Educational institutions; Fading; Loading; Optimization; Robustness; Imperfect CSI; bit loading; deadline; power allocation; robustness;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2013.031313.122583
Filename :
6484238
Link To Document :
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