Abstract

For the high end-to-end channel capacity, the amplify-and-forward scheme multiple-hop MIMO relays system is considered. The distance between each transceiver is optimized to prevent some relays from being the bottleneck and guarantee the high end-to-end channel capacity. However, in some cases, the location of relays can’t be set at the desired location, the transmit power of each relay should be optimized. Additionally, in order to achieve the higher end-to-end channel capacity, the distance and the transmit power are optimized simultaneously. We propose the Markov Chain Monte Carlo method to optimize both the distance and the transmit power in complex propagation environments. Moreover, when the system has no control over transmission of each relay, the interference signal is presented and the performance of system is deteriorated. The general protocol of control transmission for each relay on the MAC layer is analyzed and compared to the Carrier Sense Multiple Access-Collision Avoidance protocol. According to the number of relays, the Mac layer protocol for the highest end-to-end channel capacity is changed. We also analyze the end-to-end channel capacity when the number of antennas and relays tends to infinity.

Highlights

  • Multiple-input multiple-output (MIMO) relay systems have been discussed in several literatures

  • The capacity of a particular large Gaussian relay network is determined by the limit as the number of relays tends to infinity

  • There are some protocols of time division multiple accesses (TDMA), such as carrier sense multiple access with collision detection (CSMA-CD), carrier sense multiple access-collision avoidance (CSMA-CA) and so on

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Summary

Introduction

Multiple-input multiple-output (MIMO) relay systems have been discussed in several literatures. This protocol improves the previously known achievable rate of the decodeand-forward strategy for multi-relay networks by allowing the relays to only decode a selection of messages from the relays with strong links to it [12] In these papers the SNR at receiver(s) is assumed to be fixed and the location as well as the transmit power of each transmitter(s) are not dealt. The general transmission protocol on the Mac layer of multiplehop is analyzed based on the different propagation environment and the number of antennas at each relay. It is compared with Carrier Sense Multiple Access-Collision Avoidance protocol (CSMA-CA).

Channel Model
Path Loss
Optimizing Transmit Power of Each Relay
Ers m i 1
The System with Interference
Markov Chain Monte Carlo
Numerical Evaluation
Multiple-Phases Transmission
Carrier Sense Multiple Access-Collision Avoidance
Numerical Evaluation for Control Transmission
Infinite Antennas Number
Infinite Relays Number
Conclusions

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