Joint Power and Bandwidth Allocation in Multihop Wireless Networks

Abstract

Abstract-This paper considers power and bandwidth allocation to maximize the end-to-end rate in a multihop wireless network. Assuming an orthogonal frequency division multiplexing (OFDM) system, we formulate an optimization problem for joint power and subcarrier allocation in a network with one destination and multiple sources and relays. We then focus on low-complexity algorithms for the special case of a multihop network with only one source. In particular, we develop an algorithm for a two-hop network based upon the observation that the optimal frequency allocation in a two-hop network has a two-band structure under certain conditions. For a network with more than two hops, we propose a greedy approach to subcarrier allocation. Simulation results suggest that the performance of the proposed algorithms closely follow the optimum performance. Moreover, our results suggest that more hops do not always improve the end-to-end spectral efficiency for frequency-selective fading channels.

Comparison among resource allocation methods with packet loss and power metrics in geostationary satellite scenarios

“…Recently, a category of algorithms for the joint capacity (or bandwidth) and power allocation has been introduced. A large number of publications concerning this topic can be found in the literature [5], [13], [14], [15], [16], [17], [6] and [18]. For the sake of simplicity, we have conveyed the various algorithms, of this category, into two groups with similar formulations of the allocation problem.…”

“…Obviously, and are the mentioned thresholds. Actually, the capacity vector is not taken explicitly into account but, coherently with [5], [14], [15] and [16], the capacity is modeled as a function of bandwidth and power consumption according to the Hartley-Shannon Law in which represents the channel gain of the z-th link and is the spectral density of the channel noise. and are explicitly defined in the Appendix of this paper.…”

Capacity bound of MOP-based allocation with packet loss and power metrics in satellite communications systems

“…The total amount of bandwidth and power assigned to the entities are constrained and the capacity is modelled as a function of bandwidth and power consumption according to the Hartley Shannon law. This approach can be found in [4] and [5]. The second family deals with the transmission power minimisation by allocating bandwidth (in [Hz]), and capacity (in [bps]).…”

“…1, the compromise solution is reported: it represents the capacity globally allocated to both the stations (i.e., the sum of the capacities allocated to the two stations) obtained by varying C T OT in the interval [1 − 10] [Mbps]. Four norms (p = [1,2,3,4]) have been considered and both the metrics have been equally weighted (w 1,11 = w 1,12 = 0.5). The allocation of the overall available capacity has been reported as reference.…”

Joint bandwidth-power allocation for energy efficient transmission in multi-user systems

“…Joint power-bandwidth allocation is shown to have significant gain in various wireless systems [5]- [8]. For example, the authors in [5] propose an optimal bandwidth-power allocation algorithms for the orthogonal frequency division multiple access (OFDMA) systems and the extension to multi-hop cooperative communication systems is studied in [6]. In [7], the authors provide a cross-layer framework to jointly determine the routing, bandwidth and power allocation for MIMO based ad hoc networks while the distributed bandwidth-power allocation for dynamic spectrum sharing systems is considered in [8].…”