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3rd IEEE International Conference on Computer and Communications (ICCC)

作者： Luo, Yu Yin, Huarui Wei, Guo Univ Sci & Technol China Dept Elect Engn & Informat Sci Hefei Anhui Peoples R China

ISBN: (纸本)9781509063529

Massive transmission of small data packets cause heavy signaling overhead to the current communication system, the small packet multiple access (SPMA) proposed by Xie and Yin is an attractive scheme to address this problem. Unfortunately, the scheme faces the challenge of large processing latency and high computation cost introduced by a great number of iterations. In this paper, we apply the group decoding method to small packet recovery. This method is highly depended on the stage of user detection, and the detected group size at each iteration is theoretically studied. A proper group detection strategy is finally given by considering both the iteration number and demodulation accuracy. Simulation results show that the group decoding method can greatly reduce the iteration number and the decoding time, it can also produce a better demodulation accuracy in certain conditions.

关键词： wireless multiple access group decoding sparse recovery multi-user detection

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Uplink Coordinated Multipoint Reception with Limited Backhaul via Cooperative group decoding

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2014年第6期13卷 3017-3030页

作者： Li, Yi Wang, Xiaodong Zhou, Shidong Alshomrani, Saleh Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Columbia Univ Dept Elect Engn New York NY 10027 USA King Abdulaziz Univ Jeddah 21413 Saudi Arabia

We consider transmit rate allocation and the associated cooperative decoding strategies in uplink multi-cell networks where base stations (BSs) are connected by capacity-limited backhaul (BH) links. In particular, we propose two cooperative group decoding (CGD) schemes for the BSs with partial decoding results shared via the BH. In parallel CGD, at each stage, each BS locally selects and jointly decodes a group of users by treating the remaining users as noise;then it forwards some partial decoding results to other BSs via the BH. After subtracting the decoded users and the received decoding results from other BSs, each BS repeats the same procedure until all its designated users are decoded. On the other hand, in sequential CGD, each user can be decoded at any BS. At each stage only one BS is selected to decode a group of users, which then forwards the decoding results to other BSs for interference cancellation. The process is repeated until all users are decoded. Numerical results are provided to demonstrate that the proposed CGD schemes offer significant gain in terms of the achievable rates.

关键词： Coordinated multi-point (CoMP) limited backhaul group decoding max-min fairness uplink multi-cell processing

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On Space-Time Code Design With a Conditional PIC group decoding

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IEEE TRANSACTIONS ON INFORMATION THEORY 2011年第6期57卷 3582-3593页

作者： Xu, Tianyi Xia, Xiang-Gen Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA

Space-time code designs based on a partial interference cancellation (PIC) group decoding have been recently proposed. The PIC group decoding complexity depends on the group size and is between the lowest linear receiver complexity and the highest ML decoding complexity. The symbol rate for a space-time code achieving full diversity with the PIC group decoding is also between those for the linear receivers and the ML decoding. In this paper, we propose a new decoding, called conditional PIC group decoding, that is between the PIC group decoding and the ML decoding. With the proposed new decoding, we obtain a new design criterion for space-time codes to achieve full diversity, which is also between the one with the PIC group decoding and the one with the ML decoding. We then present some designs that satisfy the new criterion and in the meantime have higher symbol rates than that for the PIC group decoding.

关键词： Cyclotomic lattice design full diversity group decoding partial interference cancellation (PIC) space-time block codes

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On Full Diversity Space-Time Block Codes With Partial Interference Cancellation group decoding

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IEEE TRANSACTIONS ON INFORMATION THEORY 2009年第10期55卷 4366-4385页

作者： Guo, Xiaoyong Xia, Xiang-Gen Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA

In this paper, we propose a partial interference cancellation (PIC) group decoding strategy/scheme for linear dispersive space-time block codes (STBC) and a design criterion for the codes to achieve full diversity when the PIC group decoding is used at the receiver. A PIC group decoding decodes the symbols embedded in an STBC by dividing them into several groups and decoding each group separately after a linear PIC operation is implemented. It can be viewed as an intermediate decoding between the maximum likelihood (ML) receiver that decodes all the embedded symbols together, i.e., all the embedded symbols are in a single group, and the zero-forcing (ZF) receiver that decodes all the embedded symbols separately and independently, i.e., each group has and only has one embedded symbol, after the ZF operation is implemented. The PIC group decoding provides a framework to adjust the complexity-performance tradeoff by choosing the sizes of the information symbol groups. Our proposed design criterion (group independence) for the PIC group decoding to achieve full diversity is an intermediate condition between the loosest ML full rank criterion of codewords and the strongest ZF linear independence condition of the column vectors in the equivalent channel matrix. We also propose asymptotic optimal (AO) group decoding algorithm which is an intermediate decoding between the MMSE decoding algorithm and the ML decoding algorithm. The design criterion for the PIC group decoding can be applied to the AO group decoding algorithm because of its asymptotic optimality. It is well-known that the symbol rate for a full rank linear STBC can be full, i.e., n(l), for n(l) transmit antennas. It has been recently shown that its rate is upper bounded by 1 if a code achieves full diversity with a linear receiver. The intermediate criterion proposed in this paper provides the possibility for codes of rates between n(l) and that achieve full diversity with the PIC group decoding. This therefore

关键词： Full diversity group decoding linear dispersion codes partial interference cancellation space-time block codes zero-forcing

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An Optimal Zero-Forcing PIC group decoding for Two-User Layered Alamouti Code

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IEEE TRANSACTIONS ON COMMUNICATIONS 2011年第12期59卷 3290-3293页

作者： Li, Guoquan Xia, Xiang-Gen Wu, Yucheng Chongqing Univ Coll Commun Engn Chongqing 400044 Peoples R China Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA

The decoding complexity of the layered Alamouti code with the maximum-likelihood (ML) receiver is high. Partial interference cancellation (PIC) group decoding is an attractive method to reduce the ML decoding complexity. However, different grouping schemes for the PIC group decoding may have different performances. In this letter, by fully taking advantage of the Alamouti code structure, we analytically calculate the power gains of the information symbols after the PIC for a grouping scheme, where the zero-forcing (ZF) operator is used for the PIC. We then propose an optimal grouping scheme for the PIC group decoding by proposing a criterion to choose the grouping schemes adaptively so that the power gains of the information symbols are maximized after the PIC.

关键词： Layered Alamouti code partial interference cancellation (PIC) group decoding two-user MIMO systems

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Capacity Approximation of Massive MIMO with Optimal Successive group decoding System 8

Capacity Approximation of Massive MIMO with Optimal Successi...

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8th International Conference on Next Generation Mobile Apps, Services and Technologies (NGMAST)

作者： Abu-Ella, Omar Elmusrati, Mohammed Univ Vaasa Fac Technol Vaasa 65100 Finland

ISBN: (纸本)9781479950737

Because of the crucial importance of the group decoding techniques to achieve higher data rates, and also since the massive MIMO expected to be a promising key 5G wireless technology;we aim in this paper to consider the problem of formulating the achieved capacity of the massive MIMO optimal successive group decoding (OSGD) system. To the best of the authors knowledge there is neither exact nor approximate closed-form expression describes the achieved capacity of the massive MIMO OSGD system, Therefore, in this paper we obtain a simple closed-form expression allows for tight approximation for the achieved capacity of the massive MIMO OSGD system. In addition to that we produce an accurate approximation formula describes the rate outage probability of this system. Numerical results is used to show the validation of the proposed formulas.

关键词： Antennas Approximation methods decoding MIMO Receivers Signal to noise ratio Transmitters 4G 5G Massive MIMO capacity effective capacity group decoding interference mitigation large-scale MIMO next generation networks outage probability multiple input multiple output systems decoding signal to noise ratios Next generation networks Effective Capacity disturbance suppression Approximation method 4G mobile communication Transmitters ANTENNA Receivers Closed-form solutions approximate formula 5G mobile communication

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An Efficient Algorithm for Partial Interference Cancellation group decoding

An Efficient Algorithm for Partial Interference Cancellation...

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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Guo, Xiaoyong Wu, Keying Alcatel Lucent Shanghai Bell Res & Innovat Ctr Shanghai Peoples R China

ISBN: (纸本)9781612842547

This paper presents an efficient algorithm for the partial interference cancellation (PIC) group decoding. Partial interference cancellation is a linear operation that cancels interferences among symbol groups. The basic algorithm for the PIC operation requires a lot of matrix multiplications and inversions. Even though these matrix operations can be done in an efficient way by taking advantage of the Hermitian property, the computational burden is still high and may not always be acceptable. We propose a new algorithm for the PIC operation which requires much less and simpler matrix operations. The new algorithm significantly reduces the computational complexity of the PIC operation by one order of magnitude.

关键词： partial interference cancellation group decoding MU-MIMO

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An Optimal PIC group decoding for Layered Alamouti Code in Two-User Case

An Optimal PIC Group Decoding for Layered Alamouti Code in T...

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54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Li, Guoquan Xia, Xiang-Gen Wu, Yucheng Chongqing Univ Coll Commun Engn Chongqing 400044 Peoples R China Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA

ISBN: (纸本)9781424492688

Partial interference cancellation (PIC) group decoding is an attractive method to reduce the maximum-likelihood (ML) decoding complexity of a layered Alamouti code. However, different grouping schemes for the PIC group decoding may have different performances. In this paper, by fully taking advantage of the Alamouti code structure, we analytically calculate the power gains of the information symbols after the PIC for a grouping scheme. We then propose an optimal grouping scheme for the PIC group decoding by proposing a criterion to choose the grouping schemes adaptively so that the power gains of the information symbols are maximized after the PIC.

关键词： Layered Alamouti code partial interference cancellation (PIC) group decoding two-user MIMO systems

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A new reading mode based on balanced pre-charging and group decoding

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IEICE ELECTRONICS EXPRESS 2020年第24期17卷 1-6页

作者： Lu, Wenjuan Qin, Guoying Lin, Zhiting Wu, Xiulong Peng, Chunyu Anhui Univ Hefei 230601 Peoples R China

In this paper, the balanced pre-charging and group decoding are presented to realize in-memory computing which can achieve continuous read operations after only one pre-charge operation. Compared with the analog computing of multi-row parallel reading, this structure adopts digital domain computing, which improves the accuracy of computing;compared with the non multi-row in-memory computing, it improves the computation speed. The simulation results of noise margin, read times, and read speed show that the proposed method can improve memory performance. The maximum stability can be improved by 13.8%, the read speed can be improved by 75%, and the power consumption can be reduced by 11.58%. Besides, it can be widely used in a variety of memory structures. The proposed method is applied to the existing in-memory computing structures to verify the effectiveness.

关键词： static random-access memory in-memory computing balanced pre-charging group decoding

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On Throughput-Reliability Tradeoff of Two-Layer D-BLAST Transmission Scheme

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WIRELESS PERSONAL COMMUNICATIONS 2016年第1期90卷 339-367页

作者： Sundaramurthi, Rajarajan Chaturvedi, Sanjay K. IIT Kharagpur Ctr Reliabil Engn Kharagpur 721302 W Bengal India

A contemporary tradeoff analysis concept, recognized as throughput-reliability tradeoff (TRT) analysis, has pioneered for general block fading MIMO systems. The tribute of this analysis is its ability to reveal the reciprocity between outage probability (OP), signal-to-noise ratio (SNR) and transmission rate (R) unlike diversity-multiplexing tradeoff. The present work considers two-layer D-BLAST transmission scheme for two varieties of receiver. First, TRT analysis of D-BLAST with group detection receiver is investigated where each contented diagonal of D-BLAST is detected at once. Later, TRT analysis of D-BLAST with successive interference cancellation receiver detecting a symbol at once is investigated. Based on the derived expressions, the interplay between SNR, R and OP are explored. We verify theoretically derived expressions through simulation using MATLAB programs.

关键词： Throughput-reliability tradeoff Diversity-multiplexing tradeoff D-BLAST Successive interference cancellation group decoding

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