Name
Abstract | ||
|---|---|---|
In this paper, we consider the rate maximization of a new cognitive ratio (CR) scenario when multiple primary users (PU) are operating under the simultaneous wireless information and power transfer (SWIPT) mode. Since the rate maximization problem is NP-hard, we separate the derivation approach into the following two steps: (i) we prove that the optimal transmit covariance is of rank-one; (ii) we apply the semi-definite programming (SDP) relaxation. Two suboptimal algorithms that provide the upper bound and the lower bound of the original solutions are proposed to cope with this NP-hard problem. The duality gap is demonstrated to be very small by Monte Carlo simulations. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/HMWC.2014.7000217 | HMWC |
Keywords | Field | DocType |
Cognitive ratio (CR), simultaneous wireless information and power transfer (SWIPT), semi-definite programming (SDP) relaxation | Mathematical optimization,Monte Carlo method,Duality gap,Wireless,Upper and lower bounds,MIMO,Maximization,Mathematics,Covariance,Cognitive radio | Conference |
ISSN | Citations | PageRank |
2469-5564 | 3 | 0.39 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fengchao Zhu | 1 | 151 | 8.32 |
| Feifei Gao | 2 | 3093 | 212.03 |
| Minli Yao | 3 | 222 | 17.30 |