Proceedings ArticleDOI
Energy Efficient Power Allocation Algorithm for Downlink Massive MIMO with MRT Precoding
Long Zhao,Hui Zhao,Fanglong Hu,Kan Zheng,Jingxing Zhang +4 more
- pp 1-5
TLDR
In this paper, energy efficient power allocation scheme is investigated for the massive MIMO system with the maximum ratio transmission (MRT) precoding, since MRT precoding can balance the system performance and complexity.Abstract:
Massive multiple-input multiple-output (MIMO) has been seen as a promising technology to improve the spectrum efficiency (SE), reliability and energy efficiency (EE) for the next generation wireless communication systems. Excessive energy consumption of wireless communication networks induces both the increasing carbon emission and unaffordable operational expenditure in recent years. In this paper, energy efficient power allocation scheme is investigated for the massive MIMO system with the maximum ratio transmission (MRT) precoding, since MRT precoding can balance the system performance and complexity. As of the intractable expression of the received SINR at user terminal (UT), an approximate expression is deduced by proper simplification. Based on the simplified expression, a power allocation algorithm is proposed to achieve the optimal EE according to convex optimization theory. Compared with the power allocation scheme ignoring the inter user interference, the proposed power allocation algorithm can enhance EE and decrease transmission power, and does not impair the SE. Simulation results also show that both the EE and SE are improved by increasing the number of antennas at BS and the number of multiple UTs.read more
Citations
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Journal ArticleDOI
A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System
TL;DR: An inclusive and comprehensive survey on various RAN architectures toward 5G, namely cloud-RAN, heterogeneous cloud-rAN, virtualized cloud- RAN, and fog-Ran, and compares them from various perspectives, such as energy consumption, operations expenditure, resource allocation, spectrum efficiency, system architecture, and network performance.
Journal ArticleDOI
Joint Power Allocation and User Association Optimization for Massive MIMO Systems
TL;DR: Simulations manifest that the proposed methods provide good SE for the users using less transmit power than in small-scale systems and the optimal user association can effectively balance the load between BSs when needed.
Journal ArticleDOI
Joint Pilot Design and Uplink Power Allocation in Multi-Cell Massive MIMO Systems
TL;DR: In this paper, instead of modeling the pilot design as a combinatorial assignment problem, as in prior works, instead of expressing the pilot signals using a pilot basis and treating the associated power coefficients as continuous optimization variables, a lower bound on the uplink capacity for Rayleigh fading channels with maximum ratio detection was derived.
Journal ArticleDOI
Energy-Efficient Optimization for Downlink Massive MIMO FDD Systems With Transmit-Side Channel Correlation
TL;DR: The energy-efficient resource allocation problem is investigated for the downlink massive multiple-input-multiple-output (MIMO) frequency-division duplexing (FDD) system under a correlated Rayleigh fading channel and an iterative resource allocation algorithm is proposed.
Journal ArticleDOI
Energy-Efficient Downlink Transmission for Multicell Massive DAS With Pilot Contamination
TL;DR: In this article, the authors study the energy efficiency of a downlink multicell massive distributed antenna system (DAS) in the presence of pilot contamination (PC), where the antennas are clustered on the remote radio heads (RRHs).
References
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Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
TL;DR: A cellular base station serves a multiplicity of single-antenna terminals over the same time-frequency interval and a complete multi-cellular analysis yields a number of mathematically exact conclusions and points to a desirable direction towards which cellular wireless could evolve.
Journal ArticleDOI
Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays
Fredrik Rusek,Daniel Persson,Buon Kiong Lau,Erik G. Larsson,Thomas L. Marzetta,Fredrik Tufvesson +5 more
TL;DR: The gains in multiuser systems are even more impressive, because such systems offer the possibility to transmit simultaneously to several users and the flexibility to select what users to schedule for reception at any given point in time.
Journal ArticleDOI
Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems
TL;DR: In this paper, the tradeoff between the energy efficiency and spectral efficiency of a single-antenna system is quantified for a channel model that includes small-scale fading but not large scale fading, and it is shown that the use of moderately large antenna arrays can improve the spectral and energy efficiency with orders of magnitude compared to a single antenna system.
Journal ArticleDOI
Scaling up MIMO: Opportunities and Challenges with Very Large Arrays
Fredrik Rusek,Daniel Persson,Buon Kiong Lau,Erik G. Larsson,Thomas L. Marzetta,Ove Edfors,Fredrik Tufvesson +6 more
TL;DR: Very large MIMO as mentioned in this paper is a new research field both in communication theory, propagation, and electronics and represents a paradigm shift in the way of thinking both with regards to theory, systems and implementation.
Journal ArticleDOI
Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?
TL;DR: How many antennas per UT are needed to achieve η% of the ultimate performance limit with infinitely many antennas and how many more antennas are needed with MF and BF to achieve the performance of minimum mean-square error (MMSE) detection and regularized zero-forcing (RZF), respectively are derived.