86 citations · 230 across the 20 of their papers we have counts for
19 papers · 1 filter
Measurement Campaigns, Datasets, and Curve Fitting Officially Used by 3GPP in Release 19 for Channel Modeling in TR 38.901 for 7-24 GHz
Hitesh Poddar, Jianhua Zhang, Ximan Liu +1
This document provides comprehensive details of the Measurement Campaigns, Datasets, and Curve Fitting Officially Used by 3GPP in Release 19 for Channel Modeling in TR 38.901 for 7…
Massive MIMO Evolution Towards 3GPP Release 18
Huangping Jin, Kunpeng Liu, Gilwon Lee +7
Since the introduction of fifth-generation new radio (5G-NR) in Third Generation Partnership Project (3GPP) Release 15, swift progress has been made to evolve 5G with 3GPP Release…
Sum Capacity Loss Quantification With Optimal and Sub-Optimal Precoding in Heterogeneous Multiuser Channels
Harsh Tataria, Mansoor Shafi, Dino Pjanić
We analytically approximate the expected sum capacity loss between the optimal downlink precoding technique of dirty paper coding (DPC), and the sub-optimal technique of zero-forci…
Six Critical Challenges for 6G Wireless Systems
Harsh Tataria, Mansoor Shafi, Mischa Dohler +1
A large number of papers are now appearing on sixth-generation (6G) wireless systems, covering different aspects, ranging from vision, architecture, applications, and technology br…
Simple Framework of ZF Precoding Analysis for Full-Dimensional Massive MIMO Systems
Harsh Tataria, Mansoor Shafi
We provide a simple, yet general and accurate framework for analyzing zero-forcing (ZF) precoding performance for a full-dimensional massive multiple-input multiple-output system.…
Real-Time Deployment Aspects of C-Band and Millimeter-Wave 5G-NR Systems
Mansoor Shafi, Harsh Tataria, Andreas F. Molisch +2
Fifth-generation (5G) new radio (NR) deployments are being rolled out in both the C-band (3.3 - 5.0 GHz) and millimeter-wave (mmWave) band (24.5 - 29.5 GHz). For outdoor scenarios,…
Investigation and Comparison of 3GPP and NYUSIM Channel Models for 5G Wireless Communications
Theodore S. Rappaport, Shu Sun, Mansoor Shafi
Channel models describe how wireless channel parameters behave in a given scenario, and help evaluate link- and system-level performance. A proper channel model should be able to f…
Coordinated Regularized Zero-Forcing Precoding for Multicell MISO Systems with Limited Feedback
Jawad Mirza, Peter J. Smith, Pawel A. Dmochowski +1
We investigate coordinated regularized zero-forcing precoding for limited feedback multicell multiuser multiple-input single-output systems. We begin by deriving an approximation t…
Coordinated Two-Tier Heterogeneous Cellular Networks with Leakage Based Beamforming
Harsh Tataria, Mansoor Shafi, Peter J. Smith +1
In this paper we demonstrate the rate gains achieved by two-tier heterogeneous cellular networks (HetNets) with varying degrees of coordination between macrocell and microcell base…
On the Convergence and Performance of MF Precoding in Distributed Massive MU-MIMO Systems
Peter J. Smith, Callum T. Neil, Mansoor Shafi +1
In this paper, we analyze both the rate of convergence and the performance of a matched-filter (MF) precoder in a massive multi-user (MU) multiple-input-multiple-output (MIMO) syst…
Deployment Issues for Massive MIMO Systems
Callum T. Neil, Mansoor Shafi, Peter J. Smith +1
In this paper we examine a number of deployment issues which arise from practical considerations in massive multiple-input-multiple-output (MIMO) systems. We show both spatial corr…
On the Impact of Antenna Topologies for Massive MIMO Systems
Callum T. Neil, Mansoor Shafi, Peter J. Smith +1
Approximate expressions for the spatial correlation of cylindrical and uniform rectangular arrays (URA) are derived using measured distributions of angles of departure (AOD) for bo…
On the Convergence of Massive MIMO Systems
Peter J. Smith, Callum T. Neil, Mansoor Shafi +1
In this paper we examine convergence properties of massive MIMO systems with the aim of determining the number of antennas required for massive MIMO gains. We consider three charac…
Limited Feedback Massive MISO Systems with Trellis Coded Quantization for Correlated Channels
Jawad Mirza, Mansoor Shafi, Peter J. Smith +1
In this paper, we propose trellis coded quantization (TCQ) based limited feedback techniques for massive multiple-input single-output (MISO) frequency division duplexing (FDD) syst…
The Effects of Limited Channel Knowledge on Cognitive Radio System Capacity
Peter J. Smith, Pawel A. Dmochowski, Himal A. Suraweera +1
We examine the impact of limited channel knowledge on the secondary user (SU) in a cognitive radio system. Under a minimum signal-to-interference-and-noise ratio (SINR) constraint…
On the Statistics of Cognitive Radio Capacity in Shadowing and Fast Fading Environments
Muhammad Fainan Hanif, Peter J. Smith, Mansoor Shafi
In this paper we consider the capacity of the cognitive radio channel in a fading environment under a "low interference regime". This capacity depends critically on a power loss pa…
Performance of Cognitive Radio Systems with Imperfect Radio Environment Map Information
Muhammad Fainan Hanif, Peter J. Smith, Mansoor Shafi
In this paper we describe the effect of imperfections in the radio environment map (REM) information on the performance of cognitive radio (CR) systems. Via simulations we explore…
Interference and Deployment Issues for Cognitive Radio Systems in Shadowing Environments
Muhammad Fainan Hanif, Mansoor Shafi, Peter J. Smith +1
In this paper we describe a model for calculating the aggregate interference encountered by primary receivers in the presence of randomly placed cognitive radios (CRs). We show tha…
Channel Capacity Limits of Cognitive Radio in Asymmetric Fading Environments
Himal A. Suraweera, Jason Gao, Peter J. Smith +2
Cognitive radio technology is an innovative radio design concept which aims to increase spectrum utilization by exploiting unused spectrum in dynamically changing environments. By…