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Journal articles on the topic 'Multiaccess channel'

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1

Csiszar, Imre, and Prakash Narayan. "Secrecy Generation for Multiaccess Channel Models." IEEE Transactions on Information Theory 59, no. 1 (January 2013): 17–31. http://dx.doi.org/10.1109/tit.2012.2216254.

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2

Dowd, P. W., and K. Jabbour. "Spanning multiaccess channel hypercube computer interconnection." IEEE Transactions on Computers 37, no. 9 (1988): 1137–42. http://dx.doi.org/10.1109/12.2267.

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3

Demianowicz, Maciej. "Decoherence-Free Communication over Multiaccess Quantum Channels." Open Systems & Information Dynamics 20, no. 02 (June 2013): 1350007. http://dx.doi.org/10.1142/s1230161213500078.

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In this paper we consider decoherence-free communication over multiple access and k-user quantum channels. First, we concentrate on a hermitian unitary noise model U for a two-access bi-unitary channel and show that in this case a decoherence-free code exists if the space of Schmidt matrices of an eigensubspace of U exhibits certain properties of decomposability. Then, we show that our technique is also applicable for generic random unitary two-access channels. Finally, we consider the applicability of the result to the case of a larger number of senders and general Kraus operators.
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4

Krikidis, I. "Multilevel Modulation for Cognitive Multiaccess Relay Channel." IEEE Transactions on Vehicular Technology 59, no. 6 (July 2010): 3121–25. http://dx.doi.org/10.1109/tvt.2010.2047515.

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5

Fan, P. Z., M. Darnell, and B. Honary. "Superimposed codes for the multiaccess binary adder channel." IEEE Transactions on Information Theory 41, no. 4 (July 1995): 1178–82. http://dx.doi.org/10.1109/18.391266.

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6

Mı́guez, Joaquı́n, and Luis Castedo. "Space–time channel estimation and soft detection in time-varying multiaccess channels." Signal Processing 83, no. 2 (February 2003): 389–411. http://dx.doi.org/10.1016/s0165-1684(02)00426-7.

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7

Awan, Z. H., A. Zaidi, and L. Vandendorpe. "Multiaccess Channel With Partially Cooperating Encoders and Security Constraints." IEEE Transactions on Information Forensics and Security 8, no. 7 (July 2013): 1243–54. http://dx.doi.org/10.1109/tifs.2013.2263804.

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8

Panwar, S. S., D. Towsley, and Y. Armoni. "Collision resolution algorithms for a time-constrained multiaccess channel." IEEE Transactions on Communications 41, no. 7 (July 1993): 1023–26. http://dx.doi.org/10.1109/26.231930.

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9

Seshadri, N., and P. Srikantakumar. "On Group Testing Protocols for Binary-Feedback Multiaccess Channel." IEEE Transactions on Communications 33, no. 6 (June 1985): 574–77. http://dx.doi.org/10.1109/tcom.1985.1096339.

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10

Ehsan, Navid, and Tara Javidi. "Delay Optimal Transmission Policy in a Wireless Multiaccess Channel." IEEE Transactions on Information Theory 54, no. 8 (August 2008): 3745–51. http://dx.doi.org/10.1109/tit.2008.926328.

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11

Berger, C. R., P. Willett, Shengli Zhou, and P. F. Swaszek. "Deflection-optimal data forwarding over a Gaussian multiaccess channel." IEEE Communications Letters 11, no. 1 (January 2007): 1–3. http://dx.doi.org/10.1109/lcomm.2007.061210.

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12

Berger, Christian, Peter Willett, Shengli Zhou, and Peter Swaszek. "Deflection-optimal data forwarding over a Gaussian multiaccess channel." IEEE Communications Letters 11, no. 1 (January 2007): 1–3. http://dx.doi.org/10.1109/lcomm.2007.316206.

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13

Dowd, P. W., and K. Jabbour. "Performance evaluation of spanning multiaccess channel hypercube interconnection network." IEE Proceedings E Computers and Digital Techniques 134, no. 6 (1987): 295. http://dx.doi.org/10.1049/ip-e.1987.0050.

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14

Wu, B., and Q. Wang. "Maximization of the channel utilization in wireless heterogeneous multiaccess networks." IEEE Transactions on Vehicular Technology 46, no. 2 (May 1997): 437–44. http://dx.doi.org/10.1109/25.580782.

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15

Miguel, Rodrigo de, Ori Shental, Ralf R. Müller, and Ido Kanter. "Information and multiaccess interference in a complexity-constrained vector channel." Journal of Physics A: Mathematical and Theoretical 40, no. 20 (April 30, 2007): 5241–60. http://dx.doi.org/10.1088/1751-8113/40/20/002.

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16

Bross, Shraga I., Amos Lapidoth, and Michèle Wigger. "Dirty-Paper Coding for the Gaussian Multiaccess Channel With Conferencing." IEEE Transactions on Information Theory 58, no. 9 (September 2012): 5640–68. http://dx.doi.org/10.1109/tit.2012.2202210.

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17

Hu, Zhiwen, and Zhenhua Xu. "Optimal Power Constrained Distributed Detection over a Noisy Multiaccess Channel." Mathematical Problems in Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/580289.

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The problem of optimal power constrained distributed detection over a noisy multiaccess channel (MAC) is addressed. Under local power constraints, we define the transformation function for sensor to realize the mapping from local decision to transmitted waveform. The deflection coefficient maximization (DCM) is used to optimize the performance of power constrained fusion system. Using optimality conditions, we derive the closed-form solution to the considered problem. Monte Carlo simulations are carried out to evaluate the performance of the proposed new method. Simulation results show that the proposed method could significantly improve the detection performance of the fusion system with low signal-to-noise ratio (SNR). We also show that the proposed new method has a robust detection performance for broad SNR region.
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18

Kazemi, Samia, and Ali Tajer. "Multiaccess Communication via a Broadcast Approach Adapted to the Multiuser Channel." IEEE Transactions on Communications 66, no. 8 (August 2018): 3341–53. http://dx.doi.org/10.1109/tcomm.2018.2809733.

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19

Goyal, M., A. Kumar, and V. Sharma. "Optimal Cross-Layer Scheduling of Transmissions Over a Fading Multiaccess Channel." IEEE Transactions on Information Theory 54, no. 8 (August 2008): 3518–37. http://dx.doi.org/10.1109/tit.2008.926335.

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20

Slavakis, K., P. Bouboulis, and S. Theodoridis. "Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case." IEEE Transactions on Neural Networks and Learning Systems 23, no. 2 (February 2012): 260–76. http://dx.doi.org/10.1109/tnnls.2011.2178321.

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21

Chockalingam, A., P. Venkataram, and A. Prabhakar. "Design of an Optimum Channel Utilisation Multiaccess Protocol for Packet Radio Networks." IETE Journal of Research 38, no. 6 (November 1992): 334–43. http://dx.doi.org/10.1080/03772063.1992.11437078.

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22

El Soussi, Mohieddine, Abdellatif Zaidi, and Luc Vandendorpe. "Compute-and-Forward on a Multiaccess Relay Channel: Coding and Symmetric-Rate Optimization." IEEE Transactions on Wireless Communications 13, no. 4 (April 2014): 1932–47. http://dx.doi.org/10.1109/twc.2014.022614.130502.

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23

He, Xianwen, Gaoqi Dou, and Jun Gao. "Individual Channel Estimation in a Diamond Relay Network Using Relay-Assisted Training." International Journal of Digital Multimedia Broadcasting 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/1320689.

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We consider the training design and channel estimation in the amplify-and-forward (AF) diamond relay network. Our strategy is to transmit the source training in time-multiplexing (TM) mode while each relay node superimposes its own relay training over the amplified received data signal without bandwidth expansion. The principal challenge is to obtain accurate channel state information (CSI) of second-hop link due to the multiaccess interference (MAI) and cooperative data interference (CDI). To maintain the orthogonality between data and training, a modified relay-assisted training scheme is proposed to migrate the CDI, where some of the cooperative data at the relay are discarded to accommodate relay training. Meanwhile, a couple of optimal zero-correlation zone (ZCZ) relay-assisted sequences are designed to avoid MAI. At the destination node, the received signals from the two relay nodes are combined to achieve spatial diversity and enhanced data reliability. The simulation results are presented to validate the performance of the proposed schemes.
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24

Aicardi, M., G. Casalino, and F. Davoli. "Independent Stations Algorithm for the Maximization of One-Step Throughput in a Multiaccess Channel." IEEE Transactions on Communications 35, no. 8 (August 1987): 795–800. http://dx.doi.org/10.1109/tcom.1987.1096866.

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25

Goyal, Munish, Anurag Kumar, and Vinod Sharma. "A stochastic control approach for scheduling multimedia transmissions over a polled multiaccess fading channel." Wireless Networks 12, no. 5 (May 8, 2006): 605–21. http://dx.doi.org/10.1007/s11276-006-6538-x.

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26

Chun-Kit Chan, Lian-Kuan Chen, and Kwok-Wai Cheung. "A fast channel-tunable optical transmitter for ultrahigh-speed all-optical time-division multiaccess networks." IEEE Journal on Selected Areas in Communications 14, no. 5 (June 1996): 1052–56. http://dx.doi.org/10.1109/49.510927.

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27

Yue Rong, S. Shahbazpanahi, and A. B. Gershman. "Robust linear receivers for space-time block coded multiaccess MIMO systems with imperfect channel state information." IEEE Transactions on Signal Processing 53, no. 8 (August 2005): 3081–90. http://dx.doi.org/10.1109/tsp.2005.851199.

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28

Concha, J. I., and H. V. Poor. "Multiaccess Quantum Channels." IEEE Transactions on Information Theory 50, no. 5 (May 2004): 725–47. http://dx.doi.org/10.1109/tit.2004.826637.

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29

Gallager, R. "A perspective on multiaccess channels." IEEE Transactions on Information Theory 31, no. 2 (March 1985): 124–42. http://dx.doi.org/10.1109/tit.1985.1057022.

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30

Popescu, Dimitrie C., Otilia Popescu, and Christopher Rose. "Interference Avoidance and Multiaccess Vector Channels." IEEE Transactions on Communications 55, no. 8 (August 2007): 1466–71. http://dx.doi.org/10.1109/tcomm.2007.902528.

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31

Mergen, G., and L. Tong. "Type based estimation over multiaccess channels." IEEE Transactions on Signal Processing 54, no. 2 (February 2006): 613–26. http://dx.doi.org/10.1109/tsp.2005.861896.

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32

Allakhverdyan, A. É., and D. B. Saakyan. "Multiaccess channels in quantum information theory." Theoretical and Mathematical Physics 117, no. 3 (December 1998): 1434–46. http://dx.doi.org/10.1007/bf02557182.

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33

Hanly, S. V., and D. N. C. Tse. "Multiaccess fading channels. II. Delay-limited capacities." IEEE Transactions on Information Theory 44, no. 7 (1998): 2816–31. http://dx.doi.org/10.1109/18.737514.

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34

Li, Feng, Jamie S. Evans, and Subhrakanti Dey. "Decision Fusion Over Noncoherent Fading Multiaccess Channels." IEEE Transactions on Signal Processing 59, no. 9 (September 2011): 4367–80. http://dx.doi.org/10.1109/tsp.2011.2157501.

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35

Chih-Che Chou and K. G. Shin. "Statistical real-time channels on multiaccess bus networks." IEEE Transactions on Parallel and Distributed Systems 8, no. 8 (1997): 769–80. http://dx.doi.org/10.1109/71.605764.

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36

Shiyao Chen and Lang Tong. "Distributed Learning and Multiaccess of On-Off Channels." IEEE Journal of Selected Topics in Signal Processing 7, no. 5 (October 2013): 837–45. http://dx.doi.org/10.1109/jstsp.2013.2261278.

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37

Li, Feng, Jamie S. Evans, and Subhrakanti Dey. "Design of Distributed Detection Schemes for Multiaccess Channels." IEEE Transactions on Aerospace and Electronic Systems 48, no. 2 (2012): 1552–69. http://dx.doi.org/10.1109/taes.2012.6178078.

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38

Wu, Shuhang, Shuangqing Wei, Yue Wang, Ramachandran Vaidyanathan, and Jian Yuan. "Asymptotic Error Free Partitioning Over Noisy Boolean Multiaccess Channels." IEEE Transactions on Information Theory 61, no. 11 (November 2015): 6168–81. http://dx.doi.org/10.1109/tit.2015.2477399.

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39

Demianowicz, Maciej, Pawel Horodecki, and Karol Zyczkowski. "Multiaccess quantum communication and product higher rank numerical range." Quantum Information and Computation 13, no. 7&8 (May 2013): 541–66. http://dx.doi.org/10.26421/qic13.7-8-1.

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In the present paper we initiate the study of the product higher rank numerical range. The latter, being a variant of the higher rank numerical range [M.--D. Choi {\it et al.}, Rep. Math. Phys. {\bf 58}, 77 (2006); Lin. Alg. Appl. {\bf 418}, 828 (2006)], is a natural tool for studying a construction of quantum error correction codes for multiple access channels. We review properties of this set and relate it to other numerical ranges, which were recently introduced in the literature. Further, the concept is applied to the construction of codes for bi--unitary two--access channels with a hermitian noise model. Analytical techniques for both outerbounding the product higher rank numerical range and determining its exact shape are developed for this case. Finally, the reverse problem of constructing a noise model for a given product range is considered.
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40

SHANKARANARAYANAN, N. K., and KAM Y. LAU. "ELECTRICAL SUBCARRIER-MULTIPLE-ACCESS FOR LIGHTWAVE NETWORKS." International Journal of High Speed Electronics and Systems 03, no. 02 (June 1992): 235–60. http://dx.doi.org/10.1142/s0129156492000096.

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Multiplexing of information on microwave carriers, whose frequencies are within the direct modulation and detection bandwidths of semiconductor lasers and photoreceivers, can be used to provide multiple concurrent channels for lightwave networks in multiaccess applications. This is in effect an electrical multiplexing scheme applied to optical systems which is referred to as “Subcarrier Frequency-Division Multiple Access” (SFDMA). This paper provides an introduction to this subject, which includes discussions on factors that determine the performance of such a network as well as network architecture issues.
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41

Kompalli, Sayee Chakravartula, and Utpal Mukherji. "Scheduling for Stable and Reliable Communication Over Multiaccess Channels and Degraded Broadcast Channels." IEEE Transactions on Information Theory 60, no. 3 (March 2014): 1914–31. http://dx.doi.org/10.1109/tit.2014.2298135.

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42

Naware, V., and Lang Tong. "Cross Layer Design for Multiaccess Communication Over Rayleigh Fading Channels." IEEE Transactions on Wireless Communications 7, no. 3 (March 2008): 1095–103. http://dx.doi.org/10.1109/twc.2008.06092.

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43

Cong Shen and M. van der Schaar. "Optimal Resource Allocation for Multimedia Applications over Multiaccess Fading Channels." IEEE Transactions on Wireless Communications 7, no. 9 (September 2008): 3546–57. http://dx.doi.org/10.1109/twc.2008.070337.

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44

Xu, Zhenhua, Jianguo Huang, and Qunfei Zhang. "Power Constrained Partially Coherent Distributed Detection Over Fading Multiaccess Channels." IEEE Sensors Journal 13, no. 7 (July 2013): 2729–36. http://dx.doi.org/10.1109/jsen.2013.2248356.

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45

Cheng, R. S., and S. Verdu. "Gaussian multiaccess channels with ISI: capacity region and multiuser water-filling." IEEE Transactions on Information Theory 39, no. 3 (May 1993): 773–85. http://dx.doi.org/10.1109/18.256487.

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46

Anandkumar, Animashree, and Lang Tong. "Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels." IEEE Transactions on Signal Processing 55, no. 10 (October 2007): 5032–43. http://dx.doi.org/10.1109/tsp.2007.896302.

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47

Tse, D. N. C., and S. V. Hanly. "Multiaccess fading channels. I. Polymatroid structure, optimal resource allocation and throughput capacities." IEEE Transactions on Information Theory 44, no. 7 (1998): 2796–815. http://dx.doi.org/10.1109/18.737513.

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48

Bottcher, A., and M. Dippold. "The capture effect in multiaccess communications-the Rayleigh and landmobile satellite channels." IEEE Transactions on Communications 41, no. 9 (1993): 1364–72. http://dx.doi.org/10.1109/26.237855.

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49

Shaqfeh, M., and N. Goertz. "Comments on the Boundary of the Capacity Region of Multiaccess Fading Channels." IEEE Transactions on Information Theory 55, no. 7 (July 2009): 3407–8. http://dx.doi.org/10.1109/tit.2009.2021363.

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50

Mergen, Gkhan, Vidyut Naware, and Lang Tong. "Asymptotic Detection Performance of Type-Based Multiple Access Over Multiaccess Fading Channels." IEEE Transactions on Signal Processing 55, no. 3 (March 2007): 1081–92. http://dx.doi.org/10.1109/tsp.2006.887564.

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