Title :
Joint MUD exploitation and ICI mitigation based scheduling with limited base station cooperation
Author :
Wang, Hao ; Liu, Nan ; Li, Zhihang ; Pan, Zhiwen ; You, Xiaohu
Author_Institution :
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
Abstract :
In this paper, we propose a novel opportunistic scheduling algorithm in multi-cell cooperation scenario, i.e., joint multi-user diversity (MUD) exploitation and inter-cell interference (ICI) mitigation based scheduling (MEIMS). Our algorithm jointly considers the intended channel condition of the scheduled user from its serving cell and the orthogonality between that and the corresponding interference channels to concurrently scheduled users in neighboring cells so as to exploit MUD and mitigate ICI simultaneously. The performance of our algorithm is evaluated through simulation. Results show that, our scheme can significantly enhance the received signal to interference plus noise ratio (SINR) with relatively better fairness guarantee, thus achieves the largest throughput and utility comparing to several well-known scheduling algorithms.
Keywords :
cellular radio; interference suppression; scheduling; wireless channels; ICI mitigation based scheduling; MEIMS; MUD exploitation; SINR; channel condition; intercell interference mitigation based scheduling; interference channels; limited base station cooperation; multicell cooperation scenario; multiuser diversity exploitation; neighboring cells; opportunistic scheduling algorithm; serving cell; signal to interference plus noise ratio; Array signal processing; Interference; Multiuser detection; Scheduling algorithms; Signal to noise ratio; Throughput; Vectors; inter-cell interference (ICI); multi-cell cooperation; multi-user diversity (MUD); opportunistic scheduling;
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4673-2566-0
Electronic_ISBN :
2166-9570
DOI :
10.1109/PIMRC.2012.6362808