WEIGHTED CHANNEL ALLOCATION AND POWER CONTROL FOR SELF-CONFIGURABLE INFRASTRUCTURE WLANS

2008 ◽  
Vol 09 (03) ◽  
pp. 299-316 ◽  
Author(s):  
SUPARERK MANITPORNSUT ◽  
BJÖRN LANDFELDT

IEEE802.11 WLANs show increasing growth in popularity. Since these networks operate in the unlicensed ISM bands where the number of non-overlapping channels is limited, the growing number of wireless nodes leads to interference. It is well known that the interference leads to degraded performance of WLANs, especially in densely populated areas where the number of overlapping nodes is very large. Channel assignment algorithms have been proposed in recent years, in order to minimize or avoid interference between neighboring access points and hence alleviating the problem. In particular, weighted assignment algorithms have been frequently occurring in the literature. However, the effects of these algorithms are currently not well understood. In this paper, we present results, which show that weighted channel assignment algorithms that do not consider traffic categories can lead to heavy interference among WLANs with delay sensitive traffic, e.g. voice traffic. In order to overcome this, we instead propose a weighted access category channel assignment algorithm (WACCA). We present results from experiments, which show that WACCA achieves a small degree of Interference (DOI) as compared with a greedy algorithm. We also show that there is a tradeoff with convergence time. Furthermore, we propose an integration of WACCA with dynamic transmission power control and show how this combined method produces even more gain.

Algorithms ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 93 ◽  
Author(s):  
Na Su ◽  
Qi Zhu

This paper assumes that multiple device-to-device (D2D) users can reuse the same uplink channel and base station (BS) supplies power to D2D transmitters by means of wireless energy transmission; the optimization problem aims at maximizing the total capacity of D2D users, and proposes a power control and channel allocation algorithm for the energy harvesting D2D communications underlaying the cellular network. This algorithm firstly uses a heuristic dynamic clustering method to cluster D2D users and those in the same cluster can share the same channel. Then, D2D users in the same cluster are modeled as a non-cooperative game, the expressions of D2D users’ transmission power and energy harvesting time are derived by using the Karush–Kuhn–Tucker (KKT) condition, and the optimal transmission power and energy harvesting time are allocated to D2D users by the joint iteration optimization method. Finally, we use the Kuhn–Munkres (KM) algorithm to achieve the optimal matching between D2D clusters and cellular channel to maximize the total capacity of D2D users. Simulation results show that the proposed algorithm can effectively improve the system performance.


Due to the universal use of IEEE 802.11 – based networks, the systematic positioned of Wireless Local Area Networks (WLANs) come to be a Challenge. With the intense admiration and stationed of WLANs, well organized administration of wireless bandwidth is elegantly a major progressive. The advanced techniques upgrade the utilization of wireless bandwidth in the factors of wireless local area networks (WLANs) employing advanced channel allocation techniques between Interfering Access Points (Aps). This work formalizes the channel assignment as a multiagent hampering optimization problem in a multi agent environment and intend a latest collective medium assignment procedure called Extended Distributed Suboptimal Channel Assignment (EDSCA), which utilizes Distributed Pseudo tree optimization (DPOP).


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