Results 1 - 10
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198
MULTIPLE-OUTPUT WIRELESS SYSTEMS
, 2005
"... GOEL,VIVEK. Semi-blind turbo detection for Multiple-input Multiple-output wireless systems. (Under the direction of Dr. Huaiyu Dai) Multiple-input multiple-output (MIMO) techniques constitute the core of future high speed wireless systems. Blind detection in MIMO wireless systems conserves bandwidth ..."
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GOEL,VIVEK. Semi-blind turbo detection for Multiple-input Multiple-output wireless systems. (Under the direction of Dr. Huaiyu Dai) Multiple-input multiple-output (MIMO) techniques constitute the core of future high speed wireless systems. Blind detection in MIMO wireless systems conserves
Massive MIMO Multicasting in Noncooperative Multicell Networks
"... Abstract—We study the massive MIMO (multiple-input multiple-output) multicast transmission in multicell networks, where each base station (BS) is equipped with a large-scale antenna array and transmits a common message using a single beamformer to multiple mobile users. We first consider the case wh ..."
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Abstract—We study the massive MIMO (multiple-input multiple-output) multicast transmission in multicell networks, where each base station (BS) is equipped with a large-scale antenna array and transmits a common message using a single beamformer to multiple mobile users. We first consider the case
Single-cell vs. multicell MIMO downlink signalling strategies with imperfect CSI
- in Proc. IEEE Globecom
, 2010
"... Abstract—Cooperative base station (BS) signaling in multiple-input multiple-output (MIMO) multicell networks has been recently shown to achieve significant gains in system throughput and reliability. However, the promised gains of BS cooperation depend on the assumptions of perfect channel state inf ..."
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Cited by 3 (1 self)
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Abstract—Cooperative base station (BS) signaling in multiple-input multiple-output (MIMO) multicell networks has been recently shown to achieve significant gains in system throughput and reliability. However, the promised gains of BS cooperation depend on the assumptions of perfect channel state
Data Throughputs Using Multiple-Input Multiple-Output (MIMO) Techniques in a Noise-Limited Cellular Environment
- IEEE Trans. Wireless Commun
, 2002
"... Abstract—We present a general framework to quantify the data throughput capabilities of a wireless communication system when it combines: 1) multiple transmit signals; 2) adaptive modulation for each signal; and 3) adaptive array processing at the receiver. We assume a noise-limited environment, cor ..."
User Selection for Uplink Multiuser SIMO Systems in Multicell Environments
"... Interference-aware user selection schemes are proposed for uplink multiuser single-input multiple-output systems in multicell environments. The proposed user selection schemes consider the effects of intercell interference to improve the conventional iterative and correlation-based schemes. In the p ..."
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Interference-aware user selection schemes are proposed for uplink multiuser single-input multiple-output systems in multicell environments. The proposed user selection schemes consider the effects of intercell interference to improve the conventional iterative and correlation-based schemes
A novel uplink MIMO transmission scheme in a multicell environment
- IEEE Trans. Wireless Commun
, 2009
"... transmission scheme is developed for time division duplex (TDD) systems in a multicell environment. We propose a precoding scheme that maximizes the total achievable rate and works in the decentralized manner with only locally available channel state information (CSI) at each transmitter. We first e ..."
Abstract
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Cited by 5 (1 self)
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establish and solve a decentralized optimization problem for the case of multiple-input single-output (MISO) channels, introducing a new precoding design metric called signal to generated interference plus noise ratio (SGINR). By extending the result to general MIMO channels, we propose an SGINR
A hybrid probabilistic data association-sphere decoding for multiple-input-multiple-output systems
- IEEE Sig. Proc. Letters
, 2005
"... Abstract—A hybrid probabilistic data association (PDA)-sphere decoding (SD) algorithm is proposed for signal detection in multiple-input–multiple-output (MIMO) systems. The key idea is to reduce the dimension of the problem solved via SD by first running a single stage of the PDA to fix symbols that ..."
Abstract
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Cited by 5 (0 self)
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Abstract—A hybrid probabilistic data association (PDA)-sphere decoding (SD) algorithm is proposed for signal detection in multiple-input–multiple-output (MIMO) systems. The key idea is to reduce the dimension of the problem solved via SD by first running a single stage of the PDA to fix symbols
LOW-COMPLEXITY LINEAR PRECODING FOR MULTI-CELL MASSIVE MIMO SYSTEMS
"... Massive MIMO (multiple-input multiple-output) has been recognized as an efficient solution to improve the spectral efficiency of future communication systems. However, in-creasing the number of antennas and users goes hand-in-hand with increasing computational complexity. In particular, the precodin ..."
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Massive MIMO (multiple-input multiple-output) has been recognized as an efficient solution to improve the spectral efficiency of future communication systems. However, in-creasing the number of antennas and users goes hand-in-hand with increasing computational complexity. In particular
Large-Scale MIMO versus Network MIMO for Multicell Interference Mitigation
"... Abstract—This paper compares two distinct downlink multi-cell interference mitigation techniques for wireless cellular net-works: large-scale (LS) multiple-input multiple-output (MIMO) and network MIMO. The considered cellular network operates in a time-division duplex (TDD) fashion and includes non ..."
Abstract
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Cited by 3 (1 self)
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Abstract—This paper compares two distinct downlink multi-cell interference mitigation techniques for wireless cellular net-works: large-scale (LS) multiple-input multiple-output (MIMO) and network MIMO. The considered cellular network operates in a time-division duplex (TDD) fashion and includes
Coordinated Multi-cell Beamforming for Massive MIMO: A Random Matrix Approach
, 2010
"... We consider the problem of coordinated multi-cell downlink beamforming in massive multiple input multiple output (MIMO) systems consisting of N cells, Nt antennas per base station (BS) and K user terminals (UTs) per cell. Specifically, we formulate a multi-cell beamforming algorithm for massive MIM ..."
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We consider the problem of coordinated multi-cell downlink beamforming in massive multiple input multiple output (MIMO) systems consisting of N cells, Nt antennas per base station (BS) and K user terminals (UTs) per cell. Specifically, we formulate a multi-cell beamforming algorithm for massive
Results 1 - 10
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198