scholarly journals An Optimal Transmission Strategy for Joint Wireless Information and Energy Transfer in MIMO Relay Channels

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Dingcheng Yang ◽  
Xiaoxiao Zhou ◽  
Lin Xiao
Keyword(s):  
Resource Allocation ◽  
Energy Transfer ◽  
Relay Channels ◽  
Relay Channel ◽  
Decode And Forward ◽  
Mimo Relay ◽  
Closed Form Solutions ◽  
Transmission Strategy ◽  
Precoder Design ◽  
Optimal Resource

An optimal resource allocation strategy for MIMO relay system is considered in simultaneous wireless information and energy transfer network, where two users with multiple antennas communicate with each other assisted by an energy harvesting MIMO relay that gathers energy from the received signal by applying time switching scheme and forwards the received signal by using the harvesting energy. It is focused on the precoder design and resource allocation strategies for the system to allocate the resources among the nodes in decode-and-forward (DF) mode. Specifically, optimal precoder design and energy transfer strategy in MIMO relay channel are firstly proposed. Then, we formulate the resource allocation optimization problem. The closed-form solutions for the time and power allocation are derived. It is revealed that the solution can flexibly allocate the resource for the MIMO relay channel to maximize the sum rate of the system. Simulation results demonstrated that the performance of the proposed algorithm outperforms the traditional fixed method.

Capacity Enhanced Transmission for the MIMO Relay Channel

2011 ◽  
Vol 225-226 ◽  
pp. 1225-1229
Author(s):  
Rui Zhe Yang ◽  
Li Zhang ◽  
Peng Bo Si ◽  
Zhi Kun Song ◽  
Yan Hua Zhang
Keyword(s):  
Multiple Input Multiple Output ◽  
System Capacity ◽  
Relay Channel ◽  
Decode And Forward ◽  
Mimo Relay ◽  
Transmission Strategy ◽  
Enhanced Transmission ◽  
Half Duplex ◽  
Multiple Input ◽  
Input Multiple Output

For the classic three-node multiple-input multiple-output (MIMO) relay channel, a capacity enhanced transmission is proposed, using simple half-duplex tow-hop relaying based on symbol level decode-and-forward (DF) mode. For higher capacity to the destination, we assume the source node equipped with more antennas and propose the transmission strategy, where using channel precoding, the source transmits the data to the relay and destination respectively in the first hop and retransmits part of data to destination jointly with relay in the second hop. Additionally, the power allocation is designed to maximize the system capacity. Simulation results are then presented for illustration of the capacity enhancement.

scholarly journals End-to-End Data Rate Performance of Decode-and-Forward Relaying with Different Resource Allocation Schemes

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Inam Ullah ◽  
Alexis Dowhuszko ◽  
Zhong Zheng ◽  
David González González ◽  
Jyri Hämäläinen
Keyword(s):  
Resource Allocation ◽  
Closed Form ◽  
Data Rate ◽  
Allocation Scheme ◽  
Optimal Resource Allocation ◽  
Decode And Forward ◽  
Optimal Resource ◽  
The Mean ◽  
Resource Allocation Scheme ◽  
Resource Allocation Schemes

This paper studies the end-to-end (e2e) data rate of dual-hop Decode-and-Forward (DF) infrastructure relaying under different resource allocation schemes. In this context, we first provide a comparative analysis of the optimal resource allocation scheme with respect to several other approaches in order to provide insights into the system behavior and show the benefits of each alternative. Then, assuming the optimal resource allocation, a closed form expression for the distribution of the mean and outage data rates is derived. It turns out that the corresponding mean e2e data rate formula attains an expression in terms of an integral that does not admit a closed form solution. Therefore, a tight lower bound formula for the mean e2e data rate is presented. Results can be used to select the most convenient resource allocation scheme and perform link dimensioning in the network planning phase, showing the explicit relationships that exist between component link bandwidths, SNR values, and mean data rate.

Optimal Resource Allocation and EE-SE Trade-Off in Hybrid Cognitive Gaussian Relay Channels

2015 ◽  
Vol 14 (8) ◽  
pp. 4170-4181 ◽  
Author(s):  
Xuemin Hong ◽  
Chao Zheng ◽  
Jing Wang ◽  
Jianghong Shi ◽  
Cheng-Xiang Wang
Keyword(s):  
Resource Allocation ◽  
Relay Channels ◽  
Optimal Resource Allocation ◽  
Trade Off ◽  
Optimal Resource

scholarly journals Combining Coded Signals with Arbitrary Modulations in Orthogonal Relay Channels

2008 ◽  
Vol 2008 ◽  
pp. 1-4 ◽  
Author(s):  
Brice Djeumou ◽  
Samson Lasaulce ◽  
Antoine O. Berthet
Keyword(s):  
Maximum Likelihood ◽  
Mean Square Error ◽  
Minimum Mean Square Error ◽  
Relay Channels ◽  
Mean Square ◽  
Relay Channel ◽  
Frequency Division ◽  
Decode And Forward ◽  
Convolutional Encoder

We consider a relay channel for which the following assumptions are made. (1) The source-destination and relay-destination channels are orthogonal (frequency division relay channel). (2) The relay implements the decode-and-forward protocol. (3) The source and relay implement the same channel encoder, namely, a convolutional encoder. (4) They can use arbitrary and possibly different modulations. In this framework, we derive the best combiner in the sense of the maximum likelihood (ML) at the destination and the branch metrics of the trellis associated with its channel decoder for the ML combiner and also for the maximum ratio combiner (MRC), cooperative-MRC (C-MRC), and the minimum mean-square error (MMSE) combiner.

scholarly journals Maximizing the Partial Decode-and-Forward Rate in the Gaussian MIMO Relay Channel

2020 ◽  
pp. 1-1
Author(s):  
Christoph Hellings ◽  
Patrick Gest ◽  
Thomas Wiegart ◽  
Wolfgang Utschick
Keyword(s):  
Forward Rate ◽  
Relay Channel ◽  
Decode And Forward ◽  
Mimo Relay
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