Name
Abstract | ||
|---|---|---|
We propose two novel clustered linear precoding schemes applicable to network multi‐input
multi‐output systems using only partial channel state information to enhance the sum‐rate
of the system. Using a channel model that decomposes a multi‐input multi‐output channel
matrix into transmit and receive steering vectors and assuming that only transmit
steering vectors are available at the base transmit stations, we, first, propose a
regularized channel inversion precoding scheme to enhance the sum‐rate assuming only
single‐antenna users are available in the system. Next, because of the limitation
of regularized channel inversion to handle users with multiple receive antennas, a
novel block diagonalization method is proposed. We construct the precoding matrices
that jointly eliminate inter‐cell interference and maximize the sum‐rate for a given
input covariance matrix. Assuming total power constraint and per‐base‐station power
constraints, optimal power allocation schemes are further developed to optimize the
sum‐rate. We analytically show that the sum‐rate increases linearly with the number
of users when only single‐antenna users are present in the system. Numerical results
show that at low signal‐to‐noise ratios, the block diagonalization precoding outperforms
the regularized channel inversion in terms of the bit error rate; while at high signal‐to‐noise
ratios, the regularized channel inversion provides a better performance. Copyright
© 2016 John Wiley & Sons, Ltd.
|
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCNC.2013.6504132 | Wireless Communications and Mobile Computing |
Keywords | Field | DocType |
MIMO communication,adjacent channel interference,covariance matrices,error statistics,interference suppression,linear codes,precoding,quality of service,BD method,BER performance,ICI suppression,block diagonalization method,cell collaboration,cell edge user performance,clustered linear precoding scheme,covariance matrix,downlink network MIMO systems,edge user throughput,full CSI,intercell interference suppression,optimal allocation schemes,partial CSI,partial channel state information,per-BTS power constraints,precoding matrices,quality of service,signal-to-interference-plus-noise ratio,Network MIMO,block diagonalization,coordinated multi-point,null space,partail CSI,precoding | Global optimization,Control theory,Algorithm,MIMO,Throughput,Covariance matrix,Zero-forcing precoding,Mathematics,Precoding,Telecommunications link,Channel state information | Conference |
Volume | Issue | ISSN |
16 | 15 | 1530-8677 |
ISBN | Citations | PageRank |
978-1-4673-5286-4 | 1 | 0.36 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mehdi Sadeghzadeh | 1 | 12 | 2.66 |
| Hamid-Reza Bahrami | 2 | 74 | 8.75 |
| Nghi H. Tran | 3 | 380 | 38.12 |