Abstract
To improve the systematic bit error rate (BER) performance and power efficiency, an optimized antenna selection and adaptive power allocation scheme is proposed for physical layer network coding (PNC) with selective soft-message-forward (SSMF) cooperation. In this scheme, two adaptive power allocation (APA) schemes are proposed for the multiple access (MA) and broadcast (BC) stages, respectively. In the MA stage, the APA scheme aims to maximize the Euclidean distance of network coding symbols received by relay node. In the second BC stage, the relay node takes the maximization of the minimum mutual information of two source nodes as objective function. Then it uses the narrow range method (NRM) to select the optimal antenna set and equally allocates power to them. To further reduce the systematic complexity, an antenna set pre-selection is proposed. It minimizes the antenna number in the initial antenna set of the NRM based on the deletion standard which does not reduce the mutual information in the BC stage. Simulation results indicate that our APA schemes surpass the existing equal power allocation (EPA) scheme with a binary phase-shift keying modulation. Compared with current EPA scheme, the proposed APA schemes for the BC, MA and global stages obtain about 1 dB, 2 dB and 3.5 dB performance gains at BER of 10−3 with two antennas in the relay node, respectively.
Highlights
With rapidly developed demand of high speed wireless networks, the fifth generation (5G) wireless communications are expected to improve throughput and spectral efficiency [1]–[3]
In the BC stage, the relay node selects the optimal antenna set to transmit signals based on the min mutual information (MMMI) theory and the narrow range method (NRM), so as to maximize the minimum mutual information of two source nodes in this time slot
adaptive power allocation (APA) SCHEME BASED ON MMMI THEORY In the previous selective soft-message-forward (SSMF)-based physical layer network coding (PNC), all antennas of relay nodes are allocated with same power to participate in cooperative forwarding in the BC stage
Summary
With rapidly developed demand of high speed wireless networks, the fifth generation (5G) wireless communications are expected to improve throughput and spectral efficiency [1]–[3]. In the MA stage, two source nodes use the channel estimation algorithm [18], [19] to obtain the channel state information (CSI) They adaptively calculate the transmission power to maximize the Euclidean distance of NC symbols received by relay nodes. In the BC stage, the relay node selects the optimal antenna set to transmit signals based on the MMMI theory and the narrow range method (NRM), so as to maximize the minimum mutual information of two source nodes in this time slot. With the objective function of maximizing the minimum mutual information of two source nodes in this slot, the relay node uses NRM algorithm to select the optimal antenna set and allocates power to them.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
