Network‐coding‐based multisource multirelay LDPC‐coded cooperative MIMO

International Journal of Distributed Sensor Networks

Song

Hong

2017

Self Cite

For the relay cooperation systems or networks, in some scenarios, the relay is deployed in the hard-to-reach areas, such as on the remote mountains or in the sea. It is impractical for the relay to be powered by grid energy. And if the relay is powered by battery, it is difficult and high cost to replace the depleted battery. To overcome the power dependence of the relay, this article proposes the network-coding-based two-way relay cooperation with energy harvesting, where the relay is equipped with multiple antennas for information decoding and energy harvesting. Network coding is adopted at the relay to reduce the time slots, and low-density parity check codes are employed at the sources to improve the reliability. We introduce a maximal ratio combining-based decoding algorithm for the proposed system to achieve coding gain and diversity gain. Furthermore, we analyze the outage probability and bit error rate of the system when the optimal antenna selection algorithm is adopted at the relay to transmit data. Theoretical analysis and numerical simulation results show that the proposed system outperforms the corresponding point-to-point system under the same condition. The result also demonstrates that the relay should be deployed closer to the user whose outage probability is required to be lower.

“…The probability of the outage event occurring is defined as the outage probability. 17 At S 1 , the instantaneous channel capacity is…”

Section: Outage Probability Of the Sourcesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Network-coding-based two-way relay cooperation with energy harvesting

International Journal of Distributed Sensor Networks

Song

Hong

2017

Self Cite

“…As in Section 2.2, the joint equivalent parity-check matrix is resulted as (Zhang, Yang, & Tang, 2013a …”

Section: Cancellation Of Girth-4 Cycles In Qc-ldpc Codes For Multi-rementioning

confidence: 99%

“…It greatly reduces the implementation complexity without much degradation in decoding performance, and it is much easier to be implemented in the hardware. We employ the joint "Min-Sum" iterative decoding (Yang, Chen, Zong, Zhang, & Zhang, 2011;Zhang et al 2013a;Zhang, Yang, Tang, & Maharaj, 2013b) based on the bilayer Tanner graph, which is associated with double QC-LDPC codes used by the source and relay.…”

Section: Joint Iterative Decoding For Qc-ldpc Coded Cooperationmentioning

confidence: 99%

See 1 more Smart Citation

Joint design of QC-LDPC codes for coded cooperation system with joint iterative decoding

International Journal of Electronics

Yang

Tang

et al. 2015

Self Cite

In this paper, we investigate joint design of quasi-cyclic low-density-parity-check (QC-LDPC) codes for coded cooperation system with joint iterative decoding in the destination. First, QC-LDPC codes based on the base matrix and exponent matrix are introduced, and then we describe two types of girth-4 cycles in QC-LDPC codes employed by the source and relay. In the equivalent parity-check matrix corresponding to the jointly designed QC-LDPC codes employed by the source and relay, all girth-4 cycles including both type I and type II are cancelled. Theoretical analysis and numerical simulations show that the jointly designed QC-LDPC coded cooperation well combines cooperation gain and channel coding gain, and outperforms the coded non-cooperation under the same conditions. Furthermore, the bit error rate performance of the coded cooperation employing jointly designed QC-LDPC codes is better than those of random LDPC codes and separately designed QC-LDPC codes over AWGN channels.

The performance of uplink LDPC‐coded multirelay cooperation based on virtual V‐BLAST processing

Tang

Yang

et al. 2013

Int J Communication

SummaryThis paper proposes an efficient uplink low‐density parity‐check (LDPC)‐coded multirelay cooperation architecture based on virtual Vertical‐Bell Labs Layered Space–Time (V‐BLAST) processing over a Rayleigh fading channel, where minimum mean square error in combination with a successive interference canceller and belief propagation‐based joint iterative decoder based on the introduced multilayer Tanner graph are effectively designed to detect and decode the corrupted received sequence at the destination. By introducing V‐BLAST transmission to coded multirelay cooperation, relays send their symbol streams simultaneously, which significantly reduce the transmission delay and provide higher transmission efficiency. The theoretical analysis and numerical results show that the proposed LDPC‐coded cooperation scheme outperforms the coded noncooperation under the same code rate and achieves a better compromise, with respect to the performance, signal delay, and encoding complexity associated to the number of relays, than the conventional LDPC‐coded cooperations without V‐BLAST transmission. This performance gain can be credited to the proposed V‐BLAST processing architecture and belief propagation‐based joint iterative decoding by the introduced multilayer Tanner graph at a receiver side. Copyright © 2013 John Wiley & Sons, Ltd.