Abstract | ||
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This paper investigates the downlink transmission for cooperative cellular networks with multi-base stations and single mobile station using statistical channel state information at the base stations. We consider a general jointly correlated MIMO channel model. We first propose an optimal transmission scheme to maximize the ergodic sum capacity, which reveals the transmit signals of all base stations are mutual independent and the optimal signaling directions are the eigenvectors of the transmit correlation matrix of the MIMO channel. Then we employ the matrix permanents to derive a closed-form tight upper bound for the ergodic sum capacity. Based on these results, we develop a low-complexity power allocation solution using convex optimization techniques and a simple iterative water-filling algorithm. Simulations demonstrate the upper bound of ergodic sum capacity is tight and the cooperative base stations transmission schemes increase the downlink system sum capacity. |
Year | DOI | Venue |
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2010 | 10.1109/WCSP.2010.5633518 | WCSP |
Keywords | Field | DocType |
low-complexity power allocation solution,permanents,multi-base station cooperation,cellular radio,downlink statistical eigenmode transmission,matrix algebra,ergodic sum capacity,statistical channel state information,cooperative network,cooperative cellular networks,multi-base station,mimo communication,ergodic capacity,optimal transmission scheme,power allocation,eigenvectors,mimo channel,transmit correlation matrix,eigenvalues and eigenfunctions,cellular network,mimo,correlation matrix,base stations,base station,downlink,convex optimization,mobile station,transmitters,resource management,upper bound,correlation | Base station,Mathematical optimization,Computer science,Upper and lower bounds,Mobile station,MIMO,Cellular network,Convex optimization,Telecommunications link,Channel state information | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
978-1-4244-7554-4 | 1 | 0.36 |
References | Authors | |
7 | 4 |