Joon Ho Cho
Pohang University of Science and Technology
89 Papers
558 Citations
Joon Ho Cho is an academic researcher from Pohang University of Science and Technology. The author has contributed to research in topics: Cyclostationary process & Matched filter. The author has an hindex of 14, co-authored 87 publications. Previous affiliations of Joon Ho Cho include Purdue University & University of Massachusetts Amherst.
Chat about Author
Papers
Capacity of MIMO wireless channel with full-duplex amplify-and-forward relay
Young Yun Kang,Joon Ho Cho +1 more
- 01 Sep 2009
TL;DR: The optimal transformation matrix is derived that maximizes the mutual information under average power constraint at the relay output and shows that a full-duplex relay outperforms a half-du Plex relay if the sum of the signal-to-noise ratios at the relays input and that at the destination input is greater than 0.75.
106
Energy efficient broadcast in wireless ad hoc networks with Hitch-hiking
Manish Agarwal,Joon Ho Cho,Lixin Gao,Jie Wu +3 more
- 07 Mar 2004
TL;DR: Simulation results show that Hitch-hiking can reduce the transmission cost of broadcast by as much as 50%.
An optimal signal design for band-limited asynchronous DS-CDMA communications
Joon Ho Cho,James S. Lehnert +1 more
TL;DR: An optimal signal design for band-limited, asynchronous, direct-sequence code-division multiple-access (DS-CDMA) communications with aperiodic random spreading sequences and a conventional matched filter receiver is considered in an additive white Gaussian noise (AWGN) channel.
67
An Optimal Full-Duplex AF Relay for Joint Analog and Digital Domain Self-Interference Cancellation
TL;DR: It is shown that the optimal FD-af relay significantly outperforms the optimal HD-AF relay even with the hardware limitations in the RF chain of the relay's receiver being well taken into account.
66
{ Asymptotic Optimality of Binary Faster-than-Nyquist Signaling}
Young Geon Yoo,Joon Ho Cho +1 more
TL;DR: In this letter, the asymptotic information rate of faster-than-Nyquist (FTN) signaling is examined when the data sequence consists of independent and identically distributed (i.i.d.d.) binary symbols and it is shown that, as the FTN rate tends to infinity, the information rate converges to that of theFTN signaling with Gaussian symbols.
53