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We propose a novel pilot sequence design to mitigate pilot contamination in multi-cell multiuser massive multiple-input multiple-output networks. Our proposed design generates pilot sequences in the multi-cell network and devises power…

Information Theory · Computer Science 2020-01-14 Noman Akbar , Nan Yang , Parastoo Sadeghi , Rodney A. Kennedy

This correspondence studies the downlink transmission in a multi-cell system, where multiple base stations (BSs) each with multiple antennas cooperatively design their respective transmit beamforming vectors to optimize the overall system…

Information Theory · Computer Science 2015-05-14 Rui Zhang , Shuguang Cui

A deep learning (DL)-based power control algorithm that solves the max-min user fairness problem in a cell-free massive multiple-input multiple-output (MIMO) system is proposed. Max-min rate optimization problem in a cell-free massive MIMO…

Signal Processing · Electrical Eng. & Systems 2021-02-23 Nuwanthika Rajapaksha , K. B. Shashika Manosha , Nandana Rajatheva , Matti Latva-aho

In this paper, we study power allocation for secure communication in a multiuser multiple-input single-output (MISO) downlink system with simultaneous wireless information and power transfer. The receivers are able to harvest energy from…

Information Theory · Computer Science 2013-07-30 Derrick Wing Kwan Ng , Lin Xiang , Robert Schober

This work aims to design the uplink (UL) of a cellular network for maximal energy efficiency (EE). Each base station (BS) is randomly deployed within a given area and is equipped with $M$ antennas to serve $K$ user equipments (UEs). A…

Information Theory · Computer Science 2018-06-25 Andrea Pizzo , Daniel Verenzuela , Luca Sanguinetti , Emil Björnson

We investigate and solve the rate balancing problem in the downlink for a multiuser Multiple-Input-Multiple-Output (MIMO) system. In particular, we adopt a transceiver structure to maximize the worst-case rate of the user while satisfying a…

Signal Processing · Electrical Eng. & Systems 2019-06-14 Imene Ghamnia , Dirk Slock , Yi Yuan-Wu

Considering a heterogeneous network (HetNet) system consisting of a macro tier overlaid with a second tier of small cells (SCs), this paper studies the mean square error (MSE) based precoding design to be employed by the macro base station…

Information Theory · Computer Science 2016-08-15 Yongyu Dai , Xiaodai Dong , Wu-Sheng Lu

This paper proposes a new power control and pilot allocation scheme for device-to-device (D2D) communication underlaying a multi-cell massive MIMO system. In this scheme, the cellular users in each cell get orthogonal pilots which are…

Information Theory · Computer Science 2018-11-05 Amin Ghazanfari , Emil Björnson , Erik G. Larsson

We consider a single-cell massive MIMO full-duplex wireless communication system, where the base-station (BS) is equipped with a large number of antennas. We consider the setup where the single-antenna mobile users operate in half- duplex,…

Information Theory · Computer Science 2015-09-03 Wenzhuo Ouyang , Jingwen Bai , Ashutosh Sabharwal

This paper optimizes the pilot assignment and pilot transmit powers to mitigate pilot contamination in Massive MIMO (multiple-input multiple-output) systems. While prior works have treated pilot assignment as a combinatorial problem, we…

Information Theory · Computer Science 2017-03-07 Trinh Van Chien , Emil Björnson , Erik G. Larsson

In cell-free massive MIMO systems with multiple distributed access points (APs) serving multiple users over the same time-frequency resources, downlink beamforming is done through spatial precoding. Precoding vectors can be optimally…

Systems and Control · Electrical Eng. & Systems 2025-04-08 Mehdi Zafari , Divyanshu Pandey , Rahman Doost-Mohammady , César A. Uribe

Two key traits of 5G cellular networks are much higher base station (BS) densities - especially in the case of low-power BSs - and the use of massive MIMO at these BSs. This paper explores how massive MIMO can be used to jointly maximize…

Information Theory · Computer Science 2016-02-09 Qiaoyang Ye , Ozgun Y. Bursalioglu , Haralabos C. Papadopoulos , Constantine Caramanis , Jeffrey G. Andrews

This paper studies downlink energy efficiency (EE) of a cellular massive Multiple Input Multiple Output (MIMO) system with massive number of antennas at both base station (BS) and relay considering cell-edge users which is less investigated…

Information Theory · Computer Science 2021-12-21 Mohammad Koolivand , Mohammad Hossein Bahonar , Mohammad Sadegh Fazel

In this paper, we investigate the downlink throughput performance of a massive multiple-input multiple-output (MIMO) system that employs superimposed pilots for channel estimation. The component of downlink (DL) interference that results…

Information Theory · Computer Science 2019-04-16 Karthik Upadhya , Sergiy A. Vorobyov , Mikko Vehkapera

In this paper, a downlink communication system, in which a Base Station (BS) equipped with $M$ antennas communicates with $N$ users each equipped with $K$ receive antennas, is considered. An efficient suboptimum algorithm is proposed for…

Information Theory · Computer Science 2007-07-13 Alireza Bayesteh , Amir Keyvan Khandani

This paper considers a downlink cell-free multiple-input multiple-output (MIMO) network in which multiple multi-antenna access points (APs) serve multiple users via coherent joint transmission. In order to reduce the energy consumption by…

Information Theory · Computer Science 2025-02-04 Liangzhi Wang , Chen Chen , Jie Zhang , Carlo Fischione

We study internet of things (IoT) systems supported by cell-free (CF) massive MIMO (mMIMO) with optimal linear channel estimation. For the uplink, we consider optimal linear MIMO receiver and obtain an uplink SINR approximation involving…

Information Theory · Computer Science 2020-12-01 Hangsong Yan , Alexei Ashikhmin , Hong Yang

With the dense deployment of small cell networks, low-cost backhaul schemes for small cell base stations (SBSs) have attracted great attentions. Self-backhaul using cellular communication technology is considered as a promising solution.…

Networking and Internet Architecture · Computer Science 2016-11-22 Lei Chen , F. Richard Yu , Hong Ji , Bo Rong , Victor C. M. Leung

Massive MIMO is a promising technique to meet the exponential growth of global mobile data traffic demand. However, contrary to the current systems, energy consumption of next generation networks is required to be load adaptive as the…

Networking and Internet Architecture · Computer Science 2015-10-05 M. M. Aftab Hossain , Cicek Cavdar , Emil Björnson , Riku Jäntti

Uplink power control is an efficient scheme to mitigate pilot contamination in massive multiple-input multiple-output (MIMO) systems. In this work, we provide a comprehensive study on the effects of fractional power control (FPC) on the…

Networking and Internet Architecture · Computer Science 2018-09-11 Paolo Baracca , Lorenzo Galati Giordano , Adrian Garcia-Rodriguez , Giovanni Geraci , David Lopez-Perez
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