Increase in capacity of multiuser OFDM system using dynamic subchannel allocation

By Wonjong Rhee, John M. Cioffi. VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026), 2000

1,191 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0313ba7dc9e6e684761be44b38d8455268131e10

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Citations in the corpus

A low complexity algorithm for proportional resource allocation in OFDMA systems (2004, background): “This problem was partially addressed in [7] by ensuring that each user would be able to transmit at a minimum rate, and also in [8] by incorporating a notion of fairness in the resource allocation through maximizing the minimum user's data rate.”
Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions (2005, background): “But these approaches benefit the users closer to the base station (BS) or with a higher power capability.”
Transmit power adaptation for multiuser OFDM systems (2003, methodology): “…be pointed out that although the subcarrier assignment strategy for users has been found to be the same as the inherent assumption in [8] and [9], we have derived the results from the general formulation including interference from other users’ signals on the same subcarrier by allowing…”
Optimal Resource Allocation for OFDMA Downlink Systems (2006, background): “To find efficient suboptimal algorithms, many works have considered convex relaxation methods by introducing time-sharing or frequency-sharing variables [3][4].”
Game Theory in Wireless and Communication Networks (2008, background): “Exploring multi-user diversity has been shown to improve the efficiency of OFDMA systems under different objectives and constraints [187, 507, 477, 522, 83, 401, 508, 260].”
Energy- and Spectral-Efficiency Tradeoff in Downlink OFDMA Networks (2011, background): “One the other hand, a lower bound on the minimum transmit power in the primal problem of (7) can be obtained by relaxing the channel allocation indictors ρk,n into continuous real variables over [0, 1] indicating the portion of subcarrier n used by user k and modifying (1) into [21]–[23]”
OFDM and Its Wireless Applications: A Survey (2009, background): “By adaptive subchannel allocation in OFDMA, the system capacity can significantly be increased, as shown in [165] and [166].”
QoS aware adaptive resource allocation techniques for fair scheduling in OFDMA based broadband wireless access systems (2003, background): “As stated in [9], the non linear approximation in [8], [13] requires more computation than the IP.”
Capacity Trends and Limits of Optical Communication Networks (2012, background): “theory[ has been applied and adapted to more complex channels such as wireless communication [26]–[33], digital subscriber lines (DSLs) over twisted copper wires [34]– [38], coaxial cables [36]–[39] and the Bphoton channel[ [40]–[45], relevant to deep space and satellite communications [46], [47].”
Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, background): “, gk = ∑Kc c=1 gkc(SINRkc) [18]) and fixed power division (since the optimal power allocation can be almost flat over the subcarriers [212]).”
Multiuser adaptive subcarrier-and-bit allocation with adaptive cell selection for OFDM systems (2004, methodology): “We convert the nonlinear optimization problem in [4]–[6] into a linear one by equally distributing the transmit power over the subcarriers, since the benefit of also having adaptive power control is marginal if an adaptive rate scheme is already implemented [11]–[13].”