Gaussian Multiple Access Channels with One-Bit Quantizer at the Receiver ,

被引:10
作者
Rassouli, Borzoo [1 ,3 ]
Varasteh, Morteza [2 ]
Gunduz, Deniz [2 ]
机构
[1] Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England
[2] Imperial Coll London, Dept Elect & Elect, Intelligent Syst & Networks Grp, London SW7 2AZ, England
[3] Imperial Coll London, Informat Proc & Commun Lab, London, England
基金
英国工程与自然科学研究理事会; 欧洲研究理事会;
关键词
Gaussian multiple access channel; one-bit quantizer; capacity region; INFORMATION; CAPACITY; COMMUNICATION; SYSTEMS;
D O I
10.3390/e20090686
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The capacity region of a two-transmitter Gaussian multiple access channel (MAC) under average input power constraints is studied, when the receiver employs a zero-threshold one-bit analogue-to-digital converter (ADC). It is proven that the input distributions of the two transmitters that achieve the boundary points of the capacity region are discrete. Based on the position of a boundary point, upper bounds on the number of the mass points of the corresponding distributions are derived. Furthermore, a lower bound on the sum capacity is proposed that can be achieved by time division with power control. Finally, inspired by the numerical results, the proposed lower bound is conjectured to be tight.
引用
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页数:23
相关论文
共 19 条
  • [1] The capacity of discrete-time memoryless Rayleigh-Fading channels
    Abou-Faycal, IC
    Trott, MD
    Shamai, S
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2001, 47 (04) : 1290 - 1301
  • [2] [Anonymous], 2012, NETWORK INFORM THEOR
  • [3] [Anonymous], 1996, Graduate Texts in Mathematics
  • [4] Billingsley Patrick, 2013, Convergence of probability measures
  • [5] Chung K., 1974, A course in probability theory
  • [6] Gallager Robert G, 1968, INFORM THEORY RELIAB, V588
  • [7] Designing Intelligent Energy Harvesting Communication Systems
    Guenduez, Deniz
    Stamatiou, Kostas
    Michelusi, Nicolo
    Zorzi, Michele
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2014, 52 (01) : 210 - 216
  • [8] Krone S., 2010, P IEEE INF THEOR WOR, P1
  • [9] LUENBERGER D. G., 1997, Optimization by Vector Space Methods
  • [10] Mezghani A., 2008, P 2008 IEEE INT S IN