Results 11 to 20 of about 7,498,629 (283)
Greedy power allocation for multicarrier systems with reduced complexity [PDF]
, 2010 In this paper we consider a reduced complexity discrete bit loading for Multicarrier systems based on the greedy power allocation (GPA) under the constraints of transmit power budget, target BER, and maximum permissible QAM modulation order.
Al-Hanafy, Waleed, Weiss, S.
core +8 more sources
Suboptimal greedy power allocation schemes for discrete bit loading [PDF]
, 2013 In this paper we consider low cost discrete bit loading based on greedy power allocation (GPA) under the constraints of total transmit power budget, target BER, and maximum permissible QAM modulation order.
Weiss, Stephan +1 more
core +4 more sources
Resource Allocation Scheme of In-Band Wireless Backhaul in 5G Ultra-Dense Heterogeneous Network [PDF]
Jisuanji gongcheng, 2021 In order to realize the optimal resource allocation between wireless backhaul link and access link in 5G ultra-dense heterogeneous network,the joint user scheduling and power allocation problems of two-layer heterogeneous network in multi-user scenario ...
YU Zhaoxian, YI Huiyue, PEI Jun
doaj +1 more source
Optimal Power Allocation for Secure Estimation of Multiple Parameters [PDF]
IEEE Signal Processing Letters, 2021 Optimal power allocation for secure estimation of multiple deterministic parameters is investigated under a total power constraint. The goal is to minimize the Cramer-Rao lower bound (CRLB) at an intended receiver while keeping estimation errors at an eavesdropper above specified target levels.
Doga Gurgunoglu +2 more
openaire +3 more sources
A note on power allocation for optimal capacity
CoRR, 2022 The problems of determining the optimal power allocation, within maximum power bounds, to (i) maximize the minimum Shannon capacity, and (ii) minimize the weighted latency are considered. In the first case, the global optima can be achieved in polynomial time by solving a sequence of linear programs (LP).
openaire +3 more sources
A new low-cost discrete bit loading using greedy power allocation [PDF]
, 2009 In this paper we consider a low cost bit loading based on the greedy power allocation (GPA). Compared to the standard GPA, which is optimal in terms of maximising the data throughput, three suboptimal schemes are suggested, which perform GPA on subsets ...
Alhanafy, W.E.A.E., Weiss, S.
core +3 more sources
Radio resource allocation in relay based OFDMA cellular networks [PDF]
, 2010 PhDAdding relay stations (RS) between the base station (BS) and the mobile stations (MS) in a cellular system can extend network coverage, overcome multi-path fading and increase the capacity of the system.
Xiao, Lin
core +4 more sources
Optimal power allocation for DL NOMA systems
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017 Non-orthogonal multiple access (NOMA) is an important candidate for 5G radio access technology. In NOMA transmitter, different users' signals are superposed on the same radio resource with different power allocation factors. The receiver removes other users' signals from the received signal before decoding its own signal.
Fatih Kara +3 more
openaire +2 more sources
Optimal and sub‐optimal rate and power allocation for random networks
Transactions on Emerging Telecommunications Technologies, 2023 AbstractWe consider the power and rate allocation for a transmission in a wireless network where the transmitter knows the channel state of the desired receiver but only knows the statistics of the interferes. While this scenario is often encountered in practice, and extremely important in dense networks, its optimal solution was not yet known.
Sapir Nativ Zucker, Itsik Bergel
openaire +1 more source
Multiobjective Optimization Model for Wind Power Allocation
Mathematical Problems in Engineering, 2017 There is an increasing need for the injection to the grid of renewable energy; therefore, to evaluate the optimal location of new renewable generation is an important task. The primary purpose of this work is to develop a multiobjective optimization model that permits finding multiple trade‐off solutions for the location of new wind power resources. It
Juan Alemany +4 more
openaire +2 more sources