Abstract
In multi-hop relay systems, the end-to-end channel capacity is restricted by bottleneck node. In order to prevent some relay nodes from being the bottleneck of system and to guarantee the end-to-end channel capacity, the method of optimizing transmit power, distance and allocation time is proposed in this article. We show that the optimizing distance has more end-to-end channel capacity than the optimizing transmit power in case that both the distance and the transmit power are changeable. However, the optimizing transmit power can let the system reach high end-to-end channel capacity when the relay nodes have to shift from the desired location. We also propose the Markov Chain Monte Carlo method to optimize all transmit power, distance and allocation time simultaneously. The optimizing all transmit power, distance and allocation time is the most effective and achieves the highest channel capacity. Based on the average signal-to-noise-ratio, the average channel capacity is evaluated in this article.
Highlights
In the future, it is believed that the MIMO service area will become popular
In a relay system with one relay, when the number of relay antenna elements is less than the number of transmitter and receiver antenna elements, the capacity of MIMO relay system is lower than that of the original MIMO system
The number of relay antenna elements is larger than the transmitter and receiver antenna elements, the capacity of MIMO relay system cannot exceed the channel capacity of original MIMO system [1,2,3]
Summary
It is believed that the MIMO service area will become popular. a MIMO relay system is considered. When the number of relay antenna elements is equal to or more than the number of the transmitter and receiver antenna elements, a MIMO relay system can provide the same average capacity as an original MIMO system. In. In multi-hop MIMO relay systems, when the distance between the base station (Tx) and the final receiver (Rx) is fixed, the distance between the Tx to a relay node (RS), an RS to an RS, an RS to the Rx called the distances between transceivers, is shorten. To obtain the upper bound of end-to-end channel capacity, the location of each relay node meaning the distance between the transceivers and the transmit power of each relay node need to be optimized. The distance and the transmit power are optimized separately or simultaneously to guarantee the end-to-end channel capacity in decode-and-forward scheme multi-hop relay systems.
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