Energy efficiency analysis of in-building MIMO AF communication

Abstract

Abstract-Cooperative communication is an effective approach for increasing the spectral efficiency and/or the coverage of cellular networks as well as reducing the cost of network deployment. However, it remains to be seen how energy efficient it is. In this paper, we assess the energy efficiency of the conventional Amplifyand-forward (AF) scheme in an in-building relaying scenario. This scenario simplifies the mutual information formulation of the AF system and allows us to express its channel capacity with a simple and accurate closed-form approximation. In addition, a framework for the energy efficiency analysis of AF system is introduced, which includes a power consumption model and an energy efficiency metric, i.e. the bit-per-joule capacity. This framework along with our closed-form approximation are utilized for assessing both the channel and bit-per-joule capacities of the AF system in an in-building scenario. Our results indicate that transmitting with maximum power is not energy efficient and that AF system is more energy efficient than point-to-point communication at low transmit powers and signal-to-noise ratios.

A novel enhanced bat optimization based energy efficiency and imperfect channel state information in cooperative MIMO‐AF systems

“…The simulations that are averaged over 10000 runs, take up a downlink transmission of the cooperative MIMO AF system with the intension that the Sc N is a BS and the De N is a UE. As well, they depend upon the power model parameters of Table in the work of Héliot et al (on the other hand, with = 0 W) for setting values to all the parameters. Furthermore, observe that Po max for each antenna is amid 6 to 20 W for a distinctive micro/macro BS, and among 1 to 5 W for a distinctive urban/rural RN .…”

“…Héliot et al evaluate the energy efficiency of the conventional AF scheme in an in‐building relaying scenario that makes the mutual information formulation of the AF system simpler and lets us to state its channel capacity with a modest and precise closed‐form approximation. Furthermore, a structure for the energy efficiency examination of AF system is presented that comprises power consumption model and energy efficiency metric, that is to say, the bit‐per‐joule capacity.…”

“…While (t < max iteration) (4) for i = 1 to n Generate new solutions by calculating the distance between the bat and current global position, updating positions as Equations (33)-(35) (6) if (rand > r i ) (7) if (rand > p m ) Bats fly with quantum behavior and positions updated as (36) ∼(38)(9) else (10) The best mean position of EE is used to guide other bats and positions updated by Equation (39) (11) end if (12) end if (13) if (rand < A i & & f(pos i ) < f(pos g )) (14) Accept the new EE solutions (15) Increase dis i and reduce A i (16) end if(17) Rank the bats and find the current EE node best position pos g(18) end while(19) Output results and visualization…”

Cross-Layer Design and Optimization for Green Wireless Communications and Networking

“…We can introduce coverage defined as the fraction of cell area where the received power is above certain threshold. However, in this work, we use another commonly used metric of interest G f actor to evaluate coverage 68) where P (BS i → U E) is given in mWatts and P therm is the thermal noise power given in mWatts. The long-term coverage is defined as…”

Near-optimal energy-efficient joint resource allocation for multi-hop MIMO-AF systems

“…More recently, it has been indicated in [7] that cooperative communication can also be deployed to improve EE by using relays for reducing the transmit power at the base station (BS). Due to its simplicity, amplify-and-forward (AF) remains one of the most popular schemes for implementing cooperative multi-input multioutput (MIMO) communication.…”