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相关论文: User Association with Maximizing Sum Energy Effici…

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Instead of achievable rate in the conventional association, we utilize the effective rate to design two association schemes for load balancing in heterogeneous cellular networks (HCNs), which are both formulated as such problems with…

信息论 · 计算机科学 2016-07-05 Tianqing Zhou

In cellular wireless networks, user association refers to the problem of assigning mobile users to base station cells -- a critical, but challenging, problem in many emerging small cell and heterogeneous networks. This paper considers a…

网络与互联网体系结构 · 计算机科学 2013-04-16 Changkyu Kim , Russell Ford , Yanjia Qi , Sundeep Rangan

The use of a very large number of antennas at each base station site (referred to as "Massive MIMO") is one of the most promising approaches to cope with the predicted wireless data traffic explosion. In combination with Time Division…

网络与互联网体系结构 · 计算机科学 2015-02-10 Dilip Bethanabhotla , Ozgun Bursalioglu , Haralabos Papadopoulos , Giuseppe Caire

We reconsider the problem of joint power control and beamforming design to maximize the weighted sum rate in large and potentially cell-free massive MIMO networks. In contrast to the available short-term methods, where an iterative…

信息论 · 计算机科学 2024-07-09 Lorenzo Miretti , Emil Björnson , Sławomir Stańczak

In this paper, we propose a novel algorithm to maximize the sum rate in interference-limited scenarios where each user decodes its own message with the presence of unknown interferences and noise considering the…

信息论 · 计算机科学 2015-03-23 Hussein Al-Shatri , Xiang Li , Rakash SivaSiva Ganesan , Anja Klein , Tobias Weber

Energy reduction for wireless systems becomes more and more important due to its impact on the operation cost and global carbon footprint. In this paper, we investigate three kinds of energy-efficient association schemes under open loop…

信息论 · 计算机科学 2015-12-02 Tianqing Zhou , Yongming Huang , Luxi Yang

For small cell technology to significantly increase the capacity of tower-based cellular networks, mobile users will need to be actively pushed onto the more lightly loaded tiers (corresponding to, e.g., pico and femtocells), even if they…

We derive a fast and optimal algorithm for solving practical weighted max-min SINR problems in cell-free massive MIMO networks. For the first time, the optimization problem jointly covers long-term power control and distributed beamforming…

信息论 · 计算机科学 2022-09-01 Lorenzo Miretti , Renato Luis Garrido Cavalcante , Slawomir Stanczak

In this paper power allocation in a cellular network, which transmitter uses massive multiple inputs multiple outputs (MIMO) system was studied. As circuit power consumption is increased by the number of antenna in transmitter and users,…

信号处理 · 电气工程与系统科学 2019-01-03 Saeed Sadeghi Vilni

Massive MIMO and small cell are both recognized as the key technologies for the future 5G wireless systems. In this paper, we investigate the problem of user association in a heterogeneous network (HetNet) with massive MIMO and small cells,…

信息论 · 计算机科学 2016-01-18 Yi Xu , Shiwen Mao

The densification and expansion of wireless network pose new challenges on interference management and reducing energy consumption. This paper studies energy-efficient resource management in heterogeneous networks by jointly optimizing cell…

信息论 · 计算机科学 2016-02-11 Quan Kuang , Wolfgang Utschick

This paper considers the fundamental power allocation problem in cell-free massive mutiple-input and multiple-output (MIMO) systems which aims at maximizing the total energy efficiency (EE) under a sum power constraint at each access point…

信息论 · 计算机科学 2022-01-21 Trang C. Mai , Hien Quoc Ngo , Le-Nam Tran

This work investigates the use of deep learning to perform user cell association for sum-rate maximization in Massive MIMO networks. It is shown how a deep neural network can be trained to approach the optimal association rule with a much…

信息论 · 计算机科学 2018-12-18 Alessio Zappone , Luca Sanguinetti , Merouane Debbah

This paper investigates joint antenna selection and optimal transmit power in multi cell massive multiple input multiple output systems. The pilot interference and activated transmit antenna selection plays an essential role in maximizing…

Ultra network densification and Massive MIMO are considered major 5G enablers since they promise huge capacity gains by exploiting proximity, spectral and spatial reuse benefits. Both approaches rely on increasing the number of access…

网络与互联网体系结构 · 计算机科学 2015-04-10 Antonis G. Gotsis , Stelios Stefanatos , Angeliki Alexiou

A large-scale distributed antenna system that serves the users by coherent joint transmission is called Cell-free Massive MIMO (multiple input multiple output). For a given user set, only a subset of the access points (APs) is likely needed…

信息论 · 计算机科学 2019-11-27 Trinh Van Chien , Emil Björnson , Erik G. Larsson

This paper considers the sum spectral efficiency (SE) optimization problem in multi-cell Massive MIMO systems with a varying number of active users. This is formulated as a joint pilot and data power control problem. Since the problem is…

信息论 · 计算机科学 2020-05-28 Trinh Van Chien , Thuong Nguyen Canh , Emil Björnson , Erik G. Larsson

Large-scale distributed antenna systems with many access points (APs) that serve the users by coherent joint transmission is being considered for 5G-and-beyond networks. The technology is called Cell-free Massive MIMO and can provide a more…

信息论 · 计算机科学 2020-06-30 Trinh Van Chien , Emil Björnson , Erik G. Larsson

How would a cellular network designed for high energy efficiency look like? To answer this fundamental question, we model cellular networks using stochastic geometry and optimize the energy efficiency with respect to the density of base…

信息论 · 计算机科学 2015-06-04 Emil Björnson , Luca Sanguinetti , Marios Kountouris

We consider the cell-free massive multiple-input multiple-output (MIMO) downlink, where a very large number of distributed multiple-antenna access points (APs) serve many single-antenna users in the same time-frequency resource. A simple…

信息论 · 计算机科学 2017-11-27 Hien Quoc Ngo , Le-Nam Tran , Trung Q. Duong , Michail Matthaiou , Erik G. Larsson
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