DocumentCode
2944796
Title
The Capacity Gain from Base Station Cooperative Scheduling in a MIMO DPC Cellular System
Author
Choi, Wan ; Andrews, Jeffrey G.
Author_Institution
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX
fYear
2006
fDate
9-14 July 2006
Firstpage
1224
Lastpage
1228
Abstract
As an alternative to traditional static frequency reuse patterns, this paper investigates cooperatively scheduling among neighboring base stations in a cellular multiple antenna system, where each cell adopts dirty paper coding. It is shown that cooperatively scheduled transmission can achieve almost the same amount of interference reduction as conventional frequency reuse and achieve an extra capacity gain. We analytically quantify the capacity gain of cooperatively scheduled transmission over conventional frequency reuse in an Mt times Mr dirty paper coded MIMO system. The theoretical analysis of this paper also provides an altered view of multiuser diversity in the context of a multi-cell system. Because the positions of the users are important in a multi-cell system, we find that the gain is O(radiclog K), from selecting the maximum of a compound lognormal-exponential distribution, whereas multiuser diversity capacity gain has been previously known to grow as O(log log K), from selecting the maximum of K exponentially-distributed powers
Keywords
MIMO systems; antenna arrays; cellular radio; diversity reception; encoding; exponential distribution; frequency allocation; interference suppression; log normal distribution; mobile antennas; radiofrequency interference; scheduling; MIMO DPC cellular system; base station cooperative scheduling; capacity gain; cellular multiple antenna system; dirty paper coding; frequency reuse; interference reduction; lognormal-exponential distribution; multiuser diversity; Array signal processing; Base stations; Cellular networks; Frequency; Interference; MIMO; Processor scheduling; Robustness; Transmitters; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2006 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
1-4244-0505-X
Electronic_ISBN
1-4244-0504-1
Type
conf
DOI
10.1109/ISIT.2006.262000
Filename
4036160
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