Name
Abstract | ||
|---|---|---|
We propose a unified approach to transceiver optimization for non-regenerative MIMO relay networks. This approach leads to new transceiver designs and reduces algorithmic complexity with adaptive implementations. First, we formulate a generic system model which accommodates various network topologies by imposing structural contraints on the source precoder, the relaying matrix and the destination equalizer. Based on the minimum mean square error (MMSE) criterion, we derive the optimal relaying matrix as a function of the other two matrices, thereby freeing the optimization problem from this matrix and its associated power constraint without any loss of optimality. Subsequently, we study how to optimize either the precoder or the equalizer under different structural constraints, and propose an alternating algorithm for the joint design. When optimizing the equalizer, the optimum from the previous transmission block is chosen as the initial search point to speed up convergence and hence to reduce computational complexity. The proposed framework is further explained and validated numerically within the context of different system configurations. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TVT.2014.2351802 | Vehicular Technology, IEEE Transactions |
Keywords | Field | DocType |
Multiple-input multiple-output (MIMO), minimum mean square error (MMSE), relaying, transceiver design | Mathematical optimization,Transceiver,Computer science,Matrix (mathematics),MIMO,Network topology,Electronic engineering,Input/output,Optimization problem,Relay,Computational complexity theory | Journal |
Volume | Issue | ISSN |
PP | 99 | 0018-9545 |
Citations | PageRank | References |
7 | 0.45 | 44 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao Zhao | 1 | 7 | 0.45 |
| B. Champagne | 2 | 52 | 3.43 |