Abstract
With the rapid development of the people’s demands for mobile communication in their daily life, the complex data communication and processing will become an important challenge to the future mobile communication. As the key part of the developing mobile communication technology, massive multiple-input multiple-output (MIMO) technology can improve the network capacity, enhance the network robustness and reduce the communication delay. However, as the number of antennas increases, so does the baseband processing complexity dramatically. The very large scale integration (VLSI) chip is the carrier of the massive antenna detection algorithm. The design of the massive MIMO baseband processing chip will become one of the bottlenecks in the real application of this technology, especially the design of massive MIMO detection chip with high complexity and low parallelism. The traditional MIMO detection processors, including the instruction set architecture processor (ISAP) and the application specific integrated circuit (ASIC), cannot simultaneously satisfy the three requirement indexes: energy efficiency, flexibility and scalability. In summary, the reconfigurable processor with the MIMO detection function can properly balance the requirements applied in sucs aspects as energy efficiency, flexibility and scalability, and it will be an important and promising development direction in the future.
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Niyato D, Maso M, Dong IK et al (2017) Practical perspectives on IoT in 5G networks: from theory to industrial challenges and business opportunities. IEEE Commun Mag 55(2):68–69
Le NT, Hossain MA, Islam A et al (2016) Survey of promising technologies for 5G networks. Mobile Inf Syst 2016(2676589):1–25
Osseiran A, Boccardi F, Braun V et al (2014) Scenarios for 5G mobile and wireless communications: the vision of the METIS project. Commun Mag IEEE 52(5):26–35
Andrews JG, Buzzi S, Wan C et al (2014) What will 5G be? IEEE J Sel Areas Commun 32(6):1065–1082
Peltier WR (2004) Geoide height Time dependence and global glacial isostasy: the ICE-5G(VM2) model and GRACE. In: AGU Spring meeting, 2004
Roh W, Seol JY, Park J et al (2014) Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results. Commun Mag IEEE 52(2):106–113
Alberio M, Parladori G (2017) Innovation in automotive: a challenge for 5G and beyond network. In: 2017 International Conference of Electrical and electronic technologies for automotive, pp 1–6
Jiang H, Liu H, Guzzino K et al (2012) Digitizing the Yuan Tseh Lee array for microwave background anisotropy by 5 Gsps ADC boards. In: IEEE international conference on electronics, circuits and systems, pp 304–307
Manyika J, Chui M, Brown B et al (2011) Big data: the next frontier for innovation, competition, and productivity. Analytics
Walker SJ (2013) Big data: a revolution that will transform how we live, work, and think. Math. Comput. Educ. 47(17):181–183
Mell PM, Grance T (2011) SP 800-145. The NIST definition of cloud computing. National Institute of Standards & Technology, p 50
Buyya R, Yeo CS, Venugopal S et al (2009) Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener Comput Syst 25(6):599–616
Lewenberg Y, Sompolinsky Y, Zohar A (2015) Inclusive block chain protocols[C]. International conference on financial cryptography and data security. Springer, Berlin, Heidelberg, 2015:528–547
Li X, Baki F, Tian P et al (2014) A robust block-chain based tabu search algorithm for the dynamic lot sizing problem with product returns and remanufacturing. Omega 42(1):75–87
Hussein A, Elhajj IH, Chehab A et al (2017) SDN VANETs in 5G: an architecture for resilient security services. In: International conference on software defined systems, pp 67–74
Pan F, Wen H, Song H et al (2017) 5G security architecture and light weight security authentication. In: IEEE/CIC International conference on communications in china—workshops, pp 94–98
Bastug E, Bennis M, Medard M et al (2017) Toward interconnected virtual reality: opportunities, challenges, and enablers. IEEE Commun Mag 55(6):110–117
Parsons TD, Courtney CG (2018) Interactions between threat and executive control in a virtual reality stroop task. IEEE Trans Affect Comput 9(1): 66–75
Al-Shuwaili A, Simeone O (2017) Energy-efficient resource allocation for mobile edge computing-based augmented reality applications. IEEE Wireless Commun Lett PP(99):1
Chatzopoulos D, Bermejo C, Huang Z et al (2017) Mobile augmented reality survey: from where we are to where we go. IEEE Access 5(99):6917–6950
Azuma R, Baillot Y, Behringer R et al (2001) Recent advances in augmented reality. IEEE Comput Graphics Appl 21(6):34–47
Lin C, Dong F, Hirota K (2015) A cooperative driving control protocol for cooperation intelligent autonomous vehicle using VANET technology. In: Int Symp Soft Comput Intell Syst, 275–280
Guan Y, Wang Y, Bian Q et al (2017) High efficiency self-driven circuit with parallel branch for high frequency converters. IEEE Trans Power Electron PP(99):1
Scanlon JM, Sherony R, Gabler HC (2017) Models of driver acceleration behavior prior to real-world intersection crashes. IEEE Trans Intell Transp Syst PP(99):1–13
Marques M, Agostinho C, Zacharewicz G et al (2017) Decentralized decision support for intelligent manufacturing in Industry 4.0. J Ambient Intell. Smart Environ 9(3):299–313
Huang J, Xing CC, Wang C (2017) Simultaneous wireless information and power transfer: technologies, applications, and research challenges. IEEE Commun Mag 55(11):26–32
Shafi M, Molisch AF, Smith PJ et al (2017) 5G: a tutorial overview of standards, trials, challenges, deployment and practice. IEEE J Sel Areas Commun PP(99): 1
Tran TX, Hajisami A, Pandey P et al (2017) Collaborative mobile edge computing in 5G networks: new paradigms, scenarios, and challenges. IEEE Commun Mag 55(4):54–61
Benmimoune A, Kadoch M (2017) Relay technology for 5G networks and IoT applications. Springer International Publishing
Schulz P, Matthe M, Klessig H et al (2017) Latency critical IoT applications in 5G: perspective on the design of radio interface and network architecture. IEEE Commun Mag 55(2):70–78
Mehmood Y, Haider N, Imran M et al (2017) M2M communications in 5G: state-of-the-art architecture, recent advances, and research challenges. IEEE Commun Mag 55(9):194–201
Zhang X, Liang YC, Fang J (2017) Novel Bayesian inference algorithms for multiuser detection in M2M communications. IEEE Trans Veh Technol PP(99):1
Akpakwu GA, Silva BJ, Hancke GP et al (2017) A survey on 5G networks for the internet of things: communication technologies and challenges. IEEE Access PP(99):1
Wang CX, Haider F, Gao X et al (2014) Cellular architecture and key technologies for 5G wireless communication networks. Commun Mag IEEE 52(2):122–130
Islam SMR, Avazov N, Dobre OA et al (2016) Power-domain non-orthogonal multiple access (NOMA) in 5G systems: potentials and challenges. IEEE Commun Surveys Tutorials, PP(99):1
Pham AV, Nguyen DP, Darwish M (2017) High efficiency power amplifiers for 5G wireless communications. In: 2017 Global symposium on millimeter-waves, pp 103–107
Pedersen K, Pocovi G, Steiner J et al (2018) Agile 5G scheduler for improved E2E performance and flexibility for different network implementations. IEEE Commun. Mag. PP(99):2–9
Simsek M, Zhang D, Öhmann D et al (2017) On the flexibility and autonomy of 5G wireless networks. IEEE Access PP(99):1
Chaudhary R, Kumar N, Zeadally S (2017) Network service chaining in fog and cloud computing for the 5G environment: data management and security challenges. IEEE Commun Mag 55(11):114–122
Pan F, Jiang Y, Wen H et al (2017) Physical layer security assisted 5G network security. IEEE Veh Technol Conf, 1–5
Monserrat JF, Mange G, Braun V et al (2015) METIS research advances towards the 5G mobile and wireless system definition. Eurasip J Wireless Commun Networking 2015(1):53
Yuan Y, Zhao X (2015) 5G: vision, scenarios and enabling technologies. ZTE Commun (English edition) 1:3–10
Yonggang Ren, Liang Zhang (2014) Prospect of the fifth generation mobile communication system. Inf Commun 8:255–256
Xiaohu You, Zhiwen Pan, Xiqi Gao et al (2014) Development trend and some key technologies of 5G mobile communications. Sci China Inf Sci 44(5):551–563
Rappaport TS, Sun S, Mayzus R et al (2013) Millimeter wave mobile communications for 5G cellular: it will work! IEEE Access 1(1):335–349
Jungnickel V, Manolakis K, Zirwas W et al (2014) The role of small cells, coordinated multipoint, and massive MIMO in 5G. IEEE Commun Mag 52(5):44–51
Swindlehurst AL, Ayanoglu E, Heydari P et al (2014) Millimeter-wave massive MIMO: the next wireless revolution? IEEE Commun Mag 52(9):56–62
Björnson E, Sanguinetti L, Hoydis J et al (2014) Optimal design of energy-efficient multi-user MIMO systems: is massive MIMO the answer? IEEE Trans Wireless Commun 14(6):3059–3075
Gao X, Edfors O, Rusek F et al (2015) Massive MIMO performance evaluation based on measured propagation data. IEEE Trans Wireless Commun 14(7):3899–3911
Ngo HQ, Ashikhmin A, Yang H et al (2015) Cell-Free Massive MIMO: Uniformly great service for everyone. In: IEEE International Workshop on Signal Processing Advances in Wireless Communications, pp 201–205
Ngo H, Ashikhmin A, Yang H et al (2016) Cell-free massive MIMO versus small cells. IEEE Trans Wireless Commun PP(99):1
Rao X, Lau VKN (2014) Distributed compressive CSIT estimation and feedback for FDD multi-user massive MIMO systems. IEEE Press, pp 3261–3271
Björnson E, Larsson EG, Marzetta TL (2015) Massive MIMO: ten myths and one critical question. IEEE Commun Mag 54(2):114–123
Larsson EG, Edfors O, Tufvesson F et al (2014) Massive MIMO for next generation wireless systems. IEEE Commun Mag 52(2):186–195
Zhang K, Mao Y, Leng S et al (2017) Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks. IEEE Access 4(99):5896–5907
Sabharwal A, Schniter P, Guo D et al (2014) In-band full-duplex wireless: challenges and opportunities. Sel Areas Commun IEEE J 32(9):1637–1652
Zhou M, Song L, Li Y et al (2015) Simultaneous bidirectional link selection in full duplex MIMO systems. IEEE Trans Wireless Commun 14(7):4052–4062
Liao Y, Wang T, Song L et al (2017) Listen-and-talk: protocol design and analysis for full-duplex cognitive radio networks. IEEE Trans Veh Technol 66(1):656–667
Sharma A, Ganti RK, Milleth JK. Joint backhaul-access analysis of full duplex self-backhauling heterogeneous networks. IEEE Trans Wireless Commun 16(3):1727–1740
Duy VH, Dao TT, Zelinka I et al (2016) AETA 2015: recent advances in electrical engineering and related sciences. Springer Publishing Company, Incorporated
Kieu TN, Do DT, Xuan XN et al (2016) Wireless information and power transfer for full duplex relaying Networks: performance analysis. Springer International Publishing
Zheng G (2014) Joint beamforming optimization and power control for full-duplex MIMO two-way relay channel. IEEE Trans Signal Process 63(3):555–566
Yue Yao (2015) Key technology prospect of the fifth generation mobile communication system. Telecommun Technol 1(1):18–21
Hosseini K, Hoydis J, Ten Brink S et al (2014) Massive MIMO and small cells: How to densify heterogeneous networks. In: IEEE International Conference on Communications, pp 5442–5447
Yang HH, Geraci G, Quek TQS (2016) Energy-efficient design of MIMO heterogeneous networks With wireless backhaul. IEEE Trans Wireless Commun 15(7):4914–4927
Osseiran A, Braun V, Hidekazu T et al (2014) The foundation of the mobile and wireless communications system for 2020 and beyond: challenges, enablers and technology solutions. In: Vehicular Technology Conference, pp 1–5
Webb W (2007) Wireless communications: the future. Wiley, pp 11–20
Hwang I, Song B, Soliman SS (2013) A holistic view on hyper-dense heterogeneous and small cell networks. Commun. Mag. IEEE 51(6):20–27
Baldemair R, Dahlman E, Parkvall S et al (2013) Future wireless communications. Veh Technol Conf, pp 1–5
Liu S, Wu J, Koh CH et al (2011) A 25 Gb/s(/km2) urban wireless network beyond IMT-advanced. IEEE Commun Mag 49(2):122–129
Jo M, Maksymyuk T, Batista RL et al (2014) A survey of converging solutions for heterogeneous mobile networks. IEEE Wirel Commun 21(6):54–62
Aijaz A, Aghvami H, Amani M (2013) A survey on mobile data offloading: technical and business perspectives. IEEE Wirel Commun 20(2):104–112
Tabrizi H, Farhadi G, Cioffi J (2011) A learning-based network selection method in heterogeneous wireless systems. In: Global Telecommunications Conference, pp 1–5
Yoon SG, Han J, Bahk S (2012) Low-duty mode operation of femto base stations in a densely deployed network environment. In: IEEE international symposium on personal, indoor and mobile radio communications, pp 636–641
Chen M (2015) Research on key technologies of reconfigurable computing for communication baseband signal processing. Southeast University
Poston JD, Horne WD (2005) Discontiguous OFDM considerations for dynamic spectrum access in idle TV channels. In: IEEE international symposium on new frontiers in dynamic spectrum access networks, pp 607–610
Keller T, Hanzo L (2000) Adaptive modulation techniques for duplex OFDM transmission. IEEE Trans Veh Technol 49(5):1893–1906
Truong KT, Heath RW (2013) Effects of channel aging in massive MIMO systems. J Commun Networks 15(4):338–351
Choi J, Chance Z, Love DJ et al (2013) Noncoherent trellis coded quantization: a practical limited feedback technique for massive MIMO systems. IEEE Trans Commun 61(12):5016–5029
Li K, Sharan R, Chen Y et al (2017) Decentralized Baseband Processing for Massive MU-MIMO Systems. IEEE J Emerg Sel Top Circuits Syst PP(99):1
Roger S, Ramiro C, Gonzalez A et al (2012) Fully parallel GPU implementation of a fixed-complexity soft-output MIMO detector. IEEE Trans Veh Technol 61(8):3796–3800
Guenther D, Leupers R, Ascheid G (2016) Efficiency enablers of lightweight SDR for MIMO baseband processing. IEEE Trans Very Large Scale Integr Syst 24(2):567–577
Winter M, Kunze S, Adeva EP et al (2012) A 335 Mb/s 3.9 mm 265 nm CMOS flexible MIMO detection-decoding engine achieving 4G wireless data rates. In: Solid-state circuits conference digest of technical papers, pp 216–218
Noethen B, Arnold O, Perez Adeva E et al (2014) 10.7 A 105GOPS 36 mm 2 heterogeneous SDR MPSoC with energy-aware dynamic scheduling and iterative detection-decoding for 4G in 65 nm CMOS. In: Solid-state circuits conference digest of technical papers, pp 188–189
Chen C, Tang W, Zhang Z (2015) 18.7 A 2.4 mm 2 130 mW MMSE-nonbinary-LDPC iterative detector-decoder for 4 × 4 256-QAM MIMO in 65 nm CMOS. In: Solid-state circuits conference, pp 1–3
Studer C, Fateh S, Seethaler D (2011) ASIC implementation of soft-input soft-output MIMO detection using MMSE parallel interference cancellation. IEEE J Solid-State Circuits 46(7):1754–1765
Tang W, Prabhu H, Liu L et al (2018) A 1.8 Gb/s 70.6 pJ/b 128x16 Link-Adaptive Near-Optimal Massive MIMO Detector in 28 nm UTBB-FDSOI. In: Solid-state circuits conference digest of technical papers, pp 60–61
Prabhu H, Rodrigues JN, Liu L et al (2017) 3.6 A 60 pJ/b 300 Mb/s 128 × 8 massive MIMO precoder-detector in 28 nm FD-SOI. In: Solid-state circuits conference digest of technical papers, pp 60–61
Chen YT, Cheng CC, Tsai TL et al (2017) A 501 mW 7.6l Gb/s integrated message-passing detector and decoder for polar-coded massive MIMO systems. In: VLSI Circuits, pp C330–C331
Tang W, Chen CH, Zhang ZA 0.58 mm 2 2.76 Gb/s 79.8 pJ/b 256-QAM massive MIMO message-passing detector. In: VLSI Circuits, pp 1–2
Todman TJ, Constantinides GA, Wilton SJE et al (2005) Reconfigurable computing: Architectures and design methods. IEE Proc—Comput Digital Tech 152(2):193–207
Shaojun W, Leibo L, Shouyi Y (2014) Reconfigurable computing. Science Press
Liu L, Li Z, Chen Y et al (2017) HReA: an energy-efficient embedded dynamically reconfigurable fabric for 13-dwarfs processing. IEEE Trans. Circuits Syst II Express Briefs PP(99):1
Liu L, Wang J, Zhu J et al (2016) TLIA: efficient reconfigurable architecture for control-intensive kernels with triggered-long-instructions. IEEE Trans Parallel Distrib Syst 27(7):2143–2154
Radunovic B, Milutinovic VM (1998) A survey of reconfigurable computing architectures. In: International workshop on Field programmable logic and applications, pp 376–385
Atak O, Atalar A (2013) BilRC: an execution triggered coarse grained reconfigurable architecture. IEEE Trans Very Large Scale Integr Syst 21(7):1285–1298
Liu L, Chen Y, Yin S et al (2017) CDPM: context-directed pattern matching prefetching to improve coarse-grained reconfigurable array performance. IEEE Trans Comput-Aided Des Integr Circuits Syst PP(99):1
Estrin G (1960) Organization of computer systems-the fixed plus variable structure computer. In: AFIPS, pp 3–40
Zhang C, Liu L, Marković D et al (2015) A heterogeneous reconfigurable cell array for MIMO signal processing. IEEE Trans Circuits Syst I Regul Pap 62(3):733–742
Bougard B, Sutter BD, Verkest D et al (2008) A coarse-grained array accelerator for software-defined radio baseband processing. Micro IEEE 28(4):41–50
Ahmad U, Li M, Appeltans R et al (2013) Exploration of lattice reduction aided soft-output MIMO detection on a DLP/ILP baseband processor. IEEE Trans Signal Process 61(23):5878–5892
Chen X, Minwegen A, Hassan Y et al (2015) FLEXDET: flexible, efficient multi-mode MIMO detection using reconfigurable ASIP. IEEE Trans Very Large Scale Integr Syst 23(10):2173–2186
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Liu, L., Peng, G., Wei, S. (2019). Introduction. In: Massive MIMO Detection Algorithm and VLSI Architecture. Springer, Singapore. https://doi.org/10.1007/978-981-13-6362-7_1
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