Performance Analysis on Spatially Coupling Data Transmission Based on Power Allocation

doi:10.13190/j.jbupt.2017.01.008

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (1): 46-52.doi: 10.13190/j.jbupt.2017.01.008

• Papers • Previous Articles Next Articles

Performance Analysis on Spatially Coupling Data Transmission Based on Power Allocation

LIU Zheng-xuan, KANG Gui-xia, ZHANG Ning-bo, LIU Kui, SI Zhong-wei

School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2016-02-22 Online:2017-02-28 Published:2017-03-14

Abstract

Abstract: In order to investigate the performance of power allocation for spatially coupling data transmission, under conditions in which the interference of among coupling data streams is eliminated completely, the author proved that the system performance can achieve optimal for equal power transmission by utilizing density evolution and potential function. To reduce higher detection complexity caused by equal power transmission at the price of a small performance loss, a new power allocation algorithm was proposed to implement unequal power transmission. Extrinsic information transfer chart analyses and simulation results verify the correctness of theory analysis and the feasibility of the proposed algorithm.

Key words: power control, spatially coupling, belief propagation, density evolution, potential function

CLC Number:

TN929.53

LIU Zheng-xuan, KANG Gui-xia, ZHANG Ning-bo, LIU Kui, SI Zhong-wei. Performance Analysis on Spatially Coupling Data Transmission Based on Power Allocation[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(1): 46-52.

References

[1] Dai L, Wang B, Yuan Y, et al. Non-orthogonal multiple access for 5G:solutions, challenges, opportunities, and future research trends[J]. IEEE Communications Magazine, 2015, 53(9):74-81.
[2] Schlegel C, Truhachev D. Multiple access demodulation in the lifted signal graph with spatial coupling[J]. IEEE Transactions on Information Theory, 2013, 59(4):2459-2470.
[3] Kudekar S, Richardson T, Urbanke R. Threshold saturation via spatial coupling:why convolutional LDPC ensembles perform so well over the BEC[J]. IEEE Transactions on Information Theory, 2011, 57(2):803-834.
[4] Truhachev D, Schlegel C. Coupling data transmission for capacity-achieving multiple-access communications[EB/OL]. (2012-01-12)[2016-01-02]. https://arxiv.org/abs/1209.5785.
[5] Takeuchi K, Tanaka T, Kawabata T. Performance improvement of iterative multiuser detection for large sparsely spread CDMA systems by spatial coupling[J]. IEEE Transactions on Information Theory, 2015, 61(4):1768-1794.
[6] Guo D, Wang C. Multiuser detection of sparsely spread CDMA[J]. IEEE Journal on Selected Areas in Communications, 2008, 26(3):421-431.
[7] Lau M, Yue W, Ping L. Equal power allocation of IDMA systems:feasibility, optimality, and throughput[J]. IEEE Transactions on Wireless Communications, 2009, 8(2):746-756.
[8] Liu L, Tong J, Ping L. Analysis and optimization of CDMA systems with chip-level interleavers[J]. IEEE Journal on Selected Areas in Communications, 2006, 24(1):141-150.
[9] Lentmaier M, Sridharan A, Zigangirov K, et al. Terminated LDPC convolutional codes with thresholds close to capacity[C]//2005 IEEE International Symposium on Information Theory(ISIT). Adelaide, Australia:[s.n.], 2005:1372-1376.
[10] Burnashev M, Schlegel C, Krzymien W, et al. Analysis of the dynamics of iterative interference cancellation in iterative decoding[J]. Problems of Information Transmission, 2004, 40(4):297-317.
[11] Yedla A, Jian Y Y, Nguyen P S, et al. A simple proof of threshold saturation for coupled scalar recursions[C]//2012 IEEE 7th International Symposium on Turbo Codes and Iterative Information Processing (ISTC). Gothenburg, Sweden:[s. n.], 2012:51-55.
[12] Razavi R, Al-Imari M, Imran M A, et al. On receiver design for uplink low density signature OFDM (LDS-OFDM)[J]. IEEE Transactions on Communications, 2012, 60(11):3499-3508.
[13] Ten Brink S. Convergence behavior of iteratively decoded parallel concatenated codes[J]. IEEE Transactions on Communications, 2001, 49(10):1727-1737.

[1]	YANG Qingqing, CHEN Jian, PENG Yi. Unmanned Aerial Vehicle Trajectory Planning and Power Control Algorithm Based on Deep Deterministic Policy Gradient [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(3): 43-48.
[2]	CHEN Hai-lin, LEI Wei-jia. Power Control Algorithm under Nonlinear Battery Model in Communication Systems with Energy Harvesting [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(5): 74-80.
[3]	HAN Kang-rong, LI Na, QIAN Rong-rong. Design and Analysis of the Event-Triggered Power Control Algorithm [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(3): 35-40.
[4]	CHU Xing-he, LU Zhao-ming, WANG Lu-han, WU Mu-qing, WEN Xiang-ming. Multi-Path Assisted Cooperative Radio-Based Localization for Connected Vehicles [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(2): 116-123.
[5]	CHEN Rong, CHEN Lan. A Dynamic Self-Corrected Minimum Sum Decoding Algorithm for LDPC Codes [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(4): 15-20.
[6]	WANG Shuai. An Anti-Interference Algorithm for RFID Readers Based on Power Adjustment and Random Access Joint Optimization [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(4): 8-14.
[7]	XIE Xian-zhong, LI Jia, HUANG Qian, CHEN Jie. Optimal Scheme of Uplink Resource Allocation for Ultra-Reliable and Low-Latency in Massive Machine Type Communications with Power Control [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(6): 45-51.
[8]	HUANG Miao-na, CHEN Jun, REN Bin. Joint Power Control and Beamforming Optimization for MIMO-OFDM Network [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(1): 139-144.
[9]	HONG Yin-fang, LI Hui, WANG Xin-mei. An Improved Min-Sum Decoding Algorithm for Polar Codes [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(6): 22-26.
[10]	LEI Wei-jia, SHENG Jie, XIE Xian-zhong. Encoding and Decoding Scheme of Security-Enhanced LT Codes [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(4): 108-113.
[11]	SHI Wen-xiao, WANG En-dong, WANG Ji-hong, OUYANG Min. Joint Power Control and Channel Assignment in Wireless Mesh Network [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(3): 64-69.
[12]	WANG Yue, CHEN Rong-bing, YUAN Jian. Enterprise Wireless Network Power Control with Controllable Fairness Constraint [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(4): 49-54.
[13]	SHI Xiang-qun, CHU Qing-xin. Interference Power Analyses of Delay-Constrained Cognitive Radio Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(3): 130-134.
[14]	WU Chun, JIANG Hong, YI Ke-chu. Cognitive Radio Resource Allocation by Clustering Multi-Agent Enforcement Learning [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(1): 80-84.
[15]	WANG Sheng-sen, FENG Chun-yan, GUO Cai-li. Energy-Efficient Joint Beamforming and Power Control for Uplink MU-SIMO Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(5): 66-70.

Performance Analysis on Spatially Coupling Data Transmission Based on Power Allocation

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments