Name
Title | ||
|---|---|---|
Widely-linear filtering and non-cooperative transceiver optimization in wireless data networks. |
Abstract | ||
|---|---|---|
The issue of non-cooperative transceiver optimization in the uplink of a multiuser wireless data network with widely linear detection at the receiver is considered in this paper. While previous work in this area has focused on a simple real signal model, in this paper a baseband complex representation of the data is used, so as to properly take into account the I and Q components of the received signal. For the case in which the received signal is improper, a widely-linear reception structure, processing separately the data and their complex conjugates, is considered. The convergence of the well-known minimum mean square error (MMSE) iteration for spreading code adaptation is studied for the case in which widely-linear detection is used at the receiver. Interestingly, it is also found that spreading code optimization coupled with widely-linear filtering permits supporting, with no multiuser interference, a number of users that is twice the processing gain. Numerical results corroborate the validity of the theoretical analysis, and show that exploiting the improper nature of the data in non-cooperative resource allocation brings remarkable performance improvements in multiuser wireless systems. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/GAMENETS.2009.5137408 | GAMENETS |
Keywords | Field | DocType |
multiuser interference,code adaptation,code optimization,complex conjugates,simple real signal model,non-cooperative transceiver optimization,baseband complex representation,multiuser wireless system,widely-linear reception structure,widely-linear detection,multiuser wireless data network,linear filtering,signal to noise ratio,quality of service,resource management,correlation,receiver,games,transceivers,transmitters,design optimization,interference,minimum mean square error,optimization,resource allocation,iterative methods,data processing,filtering | Baseband,Transceiver,Computer science,Signal-to-noise ratio,Minimum mean square error,Filter (signal processing),Theoretical computer science,Electronic engineering,Resource allocation,Process gain,Telecommunications link | Conference |
ISBN | Citations | PageRank |
978-1-4244-4177-8 | 1 | 0.35 |
References | Authors | |
18 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Buzzi | 1 | 1951 | 75.30 |
| H. V. Poor | 2 | 25411 | 1951.66 |
| Alessio Zappone | 3 | 1641 | 69.84 |