Joint resource allocation and interference avoidance with fairness consideration for multi-cell cognitive radio networks

Abstract

This paper presents a joint resource allocation and interference avoidance algorithm for uplink transmissions in a multi-cell cognitive radio network (CRN), which overlays with a multi-cell primary network (PN). We consider a primary willingness based coexistent architecture. Primary base stations will broadcast pilot signals and interference margins to the CRN for interference channel evaluation and power control. The objective of the algorithm is to maximize the sum rate of cognitive radio cells without causing unacceptable interference to primary receivers, where Lagrangian duality based technique has been utilized to solve the maximization problem and jointly allocate the subchannels and power for each user. The fairness among users is considered within the joint resource allocation to guarantee that the instantaneous rate for each user is larger than a given minimum rate. Simulation results show the efficiency of our algorithm, which has good convergent performance. Moreover, compared to the conventional schemes, the proposed algorithm can satisfy the fairness well, and also obtain a large gain on cell-edge user throughput only with a small reduction in cell sum rate.

Interference Management with Dynamic Resource Allocation Method on Ultra-Dense Networks in Femto-Macrocellular Network

“…There are several techniques to solve interference problems for UDN such as Interference Avoidance techniques [4][5][6][7], Interference Cancellation techniques [8][9][10], and Interference Coordination techniques [11][12][13]. The fundamental idea of Interference Avoidance technique is to divide the available resources into orthogonal proportions in several dimensions such as time, frequency, space, power, code, etc.…”

“…In this paper, the type of modulation that is considered is 16-Quadrature Amplitude Modulation (16-QAM). The calculation of BER can be written using (7) depicted below [24].…”

Distributed resource allocation with imperfect spectrum sensing information and channel uncertainty in cognitive femtocell networks

“…In [10], a resource allocation scheme was proposed to maximize the total data rate of cognitive small cells without causing intolerable interference to macrocell users, in which femtocell user equipments (FUEs) could estimate the interference channel through the pilot signals broadcasted by macrocell base station (MBS). Moreover, the proposed algorithm could ensure the fairness with only a tiny reduction in throughput performance.…”

“…Based on the aforementioned solutions, jointly considered subchannel allocation and power allocation are a proper way to solve resource allocation problems. The objectives of resource allocation mainly focus on interference management [9,10,12,13,[19][20][21][22], capacity enhancement [8,10,13,15,[20][21][22], power efficiency improvement [15,16,19], and fairness [10,12]. However, to the best of our knowledge, resource allocation for cognitive femtocell network jointly considering interference management, fairness, imperfect spectrum sensing, and interference uncertainty has not been studied in previous works.…”