Null Space Precoding for Downlink Network MIMO Systems with No CSI

Sadeghzadeh, Mehdi; Beygi, Sajjad; Bahrami, Hamid Reza

doi:10.1109/vetecf.2011.6093158

Cited by 4 publications

(5 citation statements)

References 10 publications

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“…Furthermore, data type OFDM symbols are usually loaded with pilot symbols for fine tuning the estimation of channel and impairments. The null subcarriers in the short OFDM training symbol can also be used to estimate the noise plus ICI correlation matrix as given in [9]. For L OFDM short symbols with N null null subcarriers, this correlation matrix Ψ can be estimated as [9]…”

Section: A Ofdm Frame Formatmentioning

confidence: 99%

“…The null subcarriers in the short OFDM training symbol can also be used to estimate the noise plus ICI correlation matrix as given in [9]. For L OFDM short symbols with N null null subcarriers, this correlation matrix Ψ can be estimated as [9]…”

Section: A Ofdm Frame Formatmentioning

confidence: 99%

“…These works state that the effect of phase noise can be broken down into common phase error (CPE) and inter-carrier interference (ICI) with CPE being more prominent for systems with small phase noise. Performance analysis and compensation techniques are proposed for OFDM and MIMO-OFDM systems in the literature and can be found in [7]- [9].…”

Section: Introductionmentioning

confidence: 99%

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Compensation of IQ-Imbalance and Phase Noise in MIMO-OFDM Systems

Bogana¹

2012

Preprint

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The degrading effect of RF impairments on the performance of wireless communication systems is more pronounced in MIMO-OFDM transmission. Two of the most common impairments that significantly limit the performance of MIMO-OFDM transceivers are IQ-imbalance and phase noise. Low-complexity estimation and compensation techniques that can jointly remove the effect of these impairments are highly desirable. In this paper, we propose a simple joint estimation and compensation technique to estimate channel, phase noise and IQ-imbalance parameters in MIMO-OFDM systems under multipath slow fading channels. A subcarrier multiplexed preamble structure to estimate the channel and impairment parameters with minimum overhead is introduced and used in the estimation of IQ-imbalance parameters as well as the initial estimation of effective channel matrix including common phase error (CPE). We then use a novel tracking method based on the second order statistics of the intercarrier interference (ICI) and noise to update the effective channel matrix throughout an OFDM frame. Simulation results for a variety of scenarios show that the proposed low-complexity estimation and compensation technique can efficiently improve the performance of MIMO-OFDM systems in terms of bit-error-rate (BER).

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Section: A Ofdm Frame Formatmentioning

confidence: 99%

Section: A Ofdm Frame Formatmentioning

confidence: 99%

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Compensation of IQ-Imbalance and Phase Noise in MIMO-OFDM Systems

Bogana¹

2012

Preprint

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“…This makes the system performance degrade severely. Three main mechanisms proposed in LTE-Advanced to solve the edge user throughput and QoS problem are carrier aggregation, coordinated multi-point (CoMP), and relaying [3]- [4]. Among these, CoMP, the LTE-Advanced terminology for network MIMO, is one of the candidates to enhance average cell throughput as well as cell edge user throughput in both uplink and downlink communication [5].…”

Section: Introductionmentioning

confidence: 99%

Clustered linear precoding for downlink network MIMO systems with partial CSI

Sadeghzadeh

Bahrami

Tran

2013

2013 International Conference on Computing, Networking and Communications (ICNC)

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Cell collaboration, also known as downlink network MIMO, has been proved to suppress the adverse effects of inter-cell interference (ICI), and as a result, to improve the performance of cell edge users. In this paper, we propose a novel clustered linear precoding scheme applicable to network MIMO systems using only partial channel state information (CSI) to enhance the quality of service and the edge user throughput. More specifically, by using a novel block diagonalization (BD) method, we first construct the precoding matrices that jointly eliminate ICI and maximize the sum-rate for a given input covariance matrix. Assuming per-BTS power constraints (PBPCs), optimal allocation schemes are further developed to optimize the sum-rate. Numerical results show that the proposed method can achieve a similar sum-rate to that of the BD with full CSI knowledge. More importantly, such a benefit can be obtained by using a small cluster size without the need of global optimization. The comparison in terms of the average signalto-interference-plus-noise ratio (SINR) between the proposed technique using partial CSI and that with full CSI is also made. It is then revealed that there is no difference in SINR, and as a consequence, the BER performance, between the two schemes.

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“…Space diversity employs an array of spatially separated antennas to exploit location dependent fading characteristics in a wireless channel. This concept has been utilized in multi-input-multi-output (MIMO) systems to improve the performance in spatially uncorrelated fading environments [5]- [8]. However, as the size of a mobile terminal becomes smaller, it is more difficult to design antennas with large spatial separation.…”

Section: Introductionmentioning

confidence: 99%

Error Probability of OSTB Codes and Capacity Analysis with Antenna Selection over Single-Antenna AF Relay Channels

Bogana¹,

Helali²,

Paykan³

2012

Preprint

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In this paper, the symbol error rate (SER) and the bit error rate (BER) of orthogonal space-time block codes (OSTBCs) and their achievable capacity over an amplify-andforward (AF) relay channel with multiple antennas at source and destination and single antenna at relay node are investigated. Considered are receive antenna selection, transmit antenna selection, and joint antenna selection at both the transmitter and the receiver. The exact SERs of OSTBCs for M-PSK and square M-QAM constellations are obtained using the moment generating functions (MGFs). Also, we analyze the achievable capacity over such channels assuming antenna selection is done at the source and relay nodes. We show that a small number of selected antennas can achieve the capacity of the system in which no channel state information (CSI) is available at the source and relay nodes.

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Null Space Precoding for Downlink Network MIMO Systems with No CSI

Cited by 4 publications

References 10 publications

Compensation of IQ-Imbalance and Phase Noise in MIMO-OFDM Systems

Compensation of IQ-Imbalance and Phase Noise in MIMO-OFDM Systems

Clustered linear precoding for downlink network MIMO systems with partial CSI

Error Probability of OSTB Codes and Capacity Analysis with Antenna Selection over Single-Antenna AF Relay Channels

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