Title :
A Low Complexity Antenna Switching for Joint Wireless Information and Energy Transfer in MIMO Relay Channels
Author :
Krikidis, Ioannis ; Sasaki, Seishi ; Timotheou, Stelios ; Zhiguo Ding
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus
Abstract :
In this paper, we investigate a low-complexity technique for simultaneous wireless information and energy transfer in multiple-input multiple-output relay channels. The proposed technique exploits the array configuration at the relay node and uses the antenna elements either for conventional decoding or for rectifying (rectennas). In order to keep the complexity low, a dynamic antenna switching between decoding/rectifying is proposed based on the principles of the generalized selection combiner (GSC); the L strongest paths are allocated for decoding while the remaining channel paths for rectifying (and vice versa). The optimal L as well as the allocation strategy that minimizes the outage probability are investigated via theoretical and numerical results. In addition, two performance bounds that provide the optimal performance without the limitation of GSC are proposed by solving a linear programming and a binary knapsack problem, respectively. The proposed technique is extended to scenarios with multi-user interference, where a zero-forcing receiver is used at the relay node; closed-forms expressions for the outage probability are also derived.
Keywords :
MIMO communication; decoding; linear programming; radio receivers; radiofrequency interference; rectennas; relay networks (telecommunication); MIMO relay channels; antenna elements; binary knapsack problem; energy transfer; generalized selection combiner; linear programming; low complexity antenna switching; low-complexity technique; multiple-input multiple-output relay channels; multiuser interference; rectennas; relay node; wireless information; zero-forcing receiver; Antennas; Complexity theory; Decoding; Energy harvesting; MIMO; Radio frequency; Relays; MIMO relay channel; RF energy harvesting; Zero-forcing; generalized selection combiner; optimization;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2014.032914.130722