DocumentCode :
1912961
Title :
Pilot clustering in asymmetric massive MIMO networks
Author :
Mochaourab, Rami ; Bjornson, Emil ; Bengtsson, Mats
Author_Institution :
Signal Process. Dept., KTH R. Inst. of Technol., Stockholm, Sweden
fYear :
2015
fDate :
June 28 2015-July 1 2015
Firstpage :
231
Lastpage :
235
Abstract :
We consider the uplink of a cellular massive MIMO network. Since the spectral efficiency of these networks is limited by pilot contamination, the pilot allocation across cells is of paramount importance. However, finding efficient pilot reuse patterns is non-trivial especially in practical asymmetric base station deployments. In this paper, we approach this problem using coalitional game theory. Each cell has its own unique pilots and can form coalitions with other cells to gain access to more pilots. We develop a low-complexity distributed algorithm and prove convergence to an individually stable coalition structure. Simulations reveal fast algorithmic convergence and substantial performance gains over one-cell coalitions and full pilot reuse.
Keywords :
MIMO communication; convergence; distributed algorithms; game theory; pattern clustering; asymmetric base station deployment; asymmetric massive MIMO network; coalitional game theory; convergence; distributed algorithm; multiple-input multiple-output network; pilot allocation; pilot clustering; pilot contamination; pilot reuse pattern; spectral efficiency; Contamination; Games; Interference; MIMO; Stability analysis; Uplink; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
Type :
conf
DOI :
10.1109/SPAWC.2015.7227034
Filename :
7227034
Link To Document :
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