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We consider a multi-cell massive MIMO system where a time-division duplex protocol is used to estimate the channel state information via uplink pilots. When maximum ratio combining (MRC) is used at the BSs, the re-use of pilots across cells…

Information Theory · Computer Science 2019-11-26 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran

This letter proposes anti-jamming strategies based on pilot retransmission for a single user uplink massive MIMO under jamming attack. A jammer is assumed to attack the system both in the training and data transmission phases. We first…

Information Theory · Computer Science 2016-11-28 Tan Tai Do , Hien Quoc Ngo , Trung Q. Duong , Tobias J. Oechtering , Mikael Skoglund

The objective of this paper is to develop simple techniques to enhance the performance of multi-user RIS aided wireless systems. Specifically, we develop a novel technique called \textit{channel separation} which provides a better…

Information Theory · Computer Science 2022-09-14 Ikram Singh , Peter J. Smith , Pawel A. Dmochowski , Rua Murray

In this paper, we investigate a coverage extension scheme based on orthogonal random precoding (ORP) for the downlink of massive multiple-input multiple-output (MIMO) systems. In this scheme, a precoding matrix consisting of orthogonal…

Information Theory · Computer Science 2017-01-12 Nhan Thanh Nguyen , Kyungchun Lee

This paper studies massive access in cell-free massive multi-input multi-output (MIMO) based Internet of Things and solves the challenging active user detection (AUD) and channel estimation (CE) problems. For the uplink transmission, we…

Information Theory · Computer Science 2020-07-23 Malong Ke , Zhen Gao , Yongpeng Wu , Xiqi Gao , Kat-Kit Wong

Modern mobile terminals often produce a large number of small data packets. For these packets, it is inefficient to follow the conventional medium access control protocols because of poor utilization of service resources. We propose a novel…

Information Theory · Computer Science 2014-09-05 Ronggui Xie , Huarui Yin , Xiaohui Chen , Zhengdao Wang

In this paper we consider a time-division duplex cell-free massive multiple-input multiple-output (MIMO) system where many distributed access points (APs) simultaneously serve many users. A normalized conjugate beamforming scheme, which…

Information Theory · Computer Science 2019-09-10 Giovanni Interdonato , Hien Quoc Ngo , Erik G. Larsson , Pål Frenger

In this paper, we consider a multiuser multiple-input multiple-output (MU-MIMO) communication system between a base station equipped with multiple antennas and multiple mobile users each equipped with a single antenna. The uplink scenario…

Information Theory · Computer Science 2014-09-23 Songtao Lu , Zhengdao Wang

As a promising technique to meet the drastically growing demand for both high throughput and uniform coverage in the fifth generation (5G) wireless networks, massive multiple-input multiple-output (MIMO) systems have attracted significant…

Information Theory · Computer Science 2016-11-17 Changming Li , Jun Zhang , Shenghui Song , K. B. Letaief

This paper studies a reconfigurable intelligent surface (RIS)-assisted cell-free massive multiple-input multiple-output (CF-mMIMO) system with multiple RISs. Joint design of transmit precoding, RIS coefficients, and receive combining is…

Signal Processing · Electrical Eng. & Systems 2025-10-21 Navid Reyhanian , Reza Ghaderi Zefreh , Parisa Ramezani , Emil Bjornson

Opportunistic scheduling and beamforming schemes with reduced feedback are proposed for MIMO-OFDMA downlink systems. Unlike the conventional beamforming schemes in which beamforming is implemented solely by the base station (BS) in a…

Information Theory · Computer Science 2016-11-17 Man-On Pun , Kyeong Jin Kim , H. Vincent Poor

We develop an interference alignment (IA) technique for a downlink cellular system. In the uplink, IA schemes need channel-state-information exchange across base-stations of different cells, but our downlink IA technique requires feedback…

Information Theory · Computer Science 2015-03-13 Changho Suh , Minnie Ho , David Tse

The growing usage of renewable energy resources has introduced significant uncertainties in energy generation, enlarging challenges for Regional Transmission Operators (RTOs) in managing transmission congestion. To mitigate congestion that…

Systems and Control · Electrical Eng. & Systems 2024-10-04 Weihang Ren , Alinson S. Xavier , Fengyu Wang , Yongpei Guan , Feng Qiu

This paper considers an uplink cellular system, in which each base station (BS) is equipped with a large number of antennas to serve multiple single-antenna user equipments (UEs) simultaneously. Uplink training with pilot reusing is adopted…

Information Theory · Computer Science 2016-11-18 Ning Liang , Wenyi zhang , Cong Shen

In this paper, we develop two high-resolution channel estimation schemes based on the estimating signal parameters via the rotational invariance techniques (ESPRIT) method for frequency-selective millimeter wave (mmWave) massive MIMO…

Signal Processing · Electrical Eng. & Systems 2020-02-18 Wenyan Ma , Chenhao Qi , Geoffrey Ye Li

In this paper, we investigate the scheduling design of a mobile-edge computing (MEC) system, where the random arrival of mobile devices with computation tasks in both spatial and temporal domains is considered. The binary computation…

Information Theory · Computer Science 2019-09-06 Shanfeng Huang , Bojie Lv , Rui Wang

Time-division duplex (TDD) based massive MIMO systems rely on the reciprocity of the wireless propagation channels when calculating the downlink precoders based on uplink pilots. However, the effective uplink and downlink channels…

Information Theory · Computer Science 2018-05-09 Orod Raeesi , Ahmet Gokceoglu , Mikko Valkama

Pilot contamination is a critical issue in distributed massive MIMO networks, where the reuse of pilot sequences due to limited availability of orthogonal pilots for channel estimation leads to performance degradation. In this work, we…

Networking and Internet Architecture · Computer Science 2024-07-02 Mohd Saif Ali Khan , Samar Agnihotri , Karthik R. M

This work investigates the energy-efficient resource allocation for layered-division multiplexing (LDM) based non-orthogonal multicast and unicast transmission in cell-free massive multiple-input multiple-output (MIMO) systems, where each…

Information Theory · Computer Science 2020-07-21 Fangqing Tan , Peiran Wu , Yik-Chung Wu , Minghua Xia

This paper investigates the joint data and pilot power optimization for maximum sum spectral efficiency (SE) in multi-cell Massive MIMO systems, which is a non-convex problem. We first propose a new optimization algorithm, inspired by the…

Information Theory · Computer Science 2019-03-21 Trinh Van Chien , Emil Björnson , Erik G. Larsson